first commitHEADv1.0.0+20260212main

1 files changed, 1659 insertions, 0 deletions

diff --git a/data/zh_cn/imagerecog/2019-09-30/api-docs.php b/data/zh_cn/imagerecog/2019-09-30/api-docs.php
new file mode 100644
index 0000000..e0124df
--- /dev/null
+++ b/data/zh_cn/imagerecog/2019-09-30/api-docs.php
@@ -0,0 +1,1659 @@
+<?php return [
+    'version' => '1.0',
+    'info' => [
+        'style' => 'RPC',
+        'product' => 'imagerecog',
+        'version' => '2019-09-30',
+    ],
+    'directories' => [
+        [
+            'id' => 64348,
+            'title' => '结果',
+            'type' => 'directory',
+            'children' => [
+                'GetAsyncJobResult',
+                'EvaluateCertificateQuality',
+            ],
+        ],
+        [
+            'id' => 64351,
+            'title' => '标注',
+            'type' => 'directory',
+            'children' => [
+                'TaggingImage',
+            ],
+        ],
+        [
+            'id' => 64353,
+            'title' => '识别',
+            'type' => 'directory',
+            'children' => [
+                'ClassifyingRubbish',
+                'DetectImageElements',
+                'RecognizeFood',
+                'RecognizeImageColor',
+                'RecognizeImageStyle',
+                'RecognizeScene',
+            ],
+        ],
+        [
+            'id' => 0,
+            'title' => '其它',
+            'type' => 'directory',
+            'children' => [
+                'TaggingAdImage',
+            ],
+        ],
+    ],
+    'components' => [
+        'schemas' => [],
+    ],
+    'apis' => [
+        'GetAsyncJobResult' => [
+            'methods' => [
+                'get',
+            ],
+            'schemes' => [
+                'http',
+                'https',
+            ],
+            'security' => [
+                [
+                    'AK' => [],
+                ],
+            ],
+            'operationType' => 'read',
+            'deprecated' => false,
+            'systemTags' => [
+                'operationType' => 'get',
+            ],
+            'parameters' => [
+                [
+                    'name' => 'JobId',
+                    'in' => 'query',
+                    'schema' => [
+                        'description' => '异步接口返回的RequestId，输入后可以查询异步接口的真实请求结果。',
+                        'type' => 'string',
+                        'required' => true,
+                        'example' => '72CFDC08-3FEF-56AA-91E5-B14DE31C09C2',
+                    ],
+                ],
+            ],
+            'responses' => [
+                200 => [
+                    'schema' => [
+                        'description' => '1',
+                        'type' => 'object',
+                        'properties' => [
+                            'RequestId' => [
+                                'description' => '请求ID。',
+                                'type' => 'string',
+                                'example' => '572974F0-1014-5C60-97EE-DBFFC0FF7616',
+                            ],
+                            'Data' => [
+                                'description' => '返回的结果数据内容。',
+                                'type' => 'object',
+                                'properties' => [
+                                    'Status' => [
+                                        'description' => '异步任务状态。包括：'."\n"
+                                            ."\n"
+                                            .'- QUEUING：任务排队中'."\n"
+                                            ."\n"
+                                            .'- PROCESSING：异步处理中'."\n"
+                                            ."\n"
+                                            .'- PROCESS_SUCCESS：处理成功'."\n"
+                                            ."\n"
+                                            .'- PROCESS_FAILED：处理失败'."\n"
+                                            ."\n"
+                                            .'- TIMEOUT_FAILED：任务超时未处理完成'."\n"
+                                            ."\n"
+                                            .'- LIMIT_RETRY_FAILED：超过最大重试次数',
+                                        'type' => 'string',
+                                        'example' => 'PROCESS_SUCCESS',
+                                    ],
+                                    'ErrorMessage' => [
+                                        'description' => '异步任务错误码信息。',
+                                        'type' => 'string',
+                                        'example' => 'paramsIllegal',
+                                    ],
+                                    'Result' => [
+                                        'description' => '异步任务返回的真实请求结果。',
+                                        'type' => 'string',
+                                        'example' => '{\\"tags\\":[{\\"confidence\\":-1,\\"value\\":\\"{\\\\\\"tagInfo\\\\\\": {\\\\\\"humanInfo\\\\\\": [[{\\\\\\"category\\\\\\": \\\\\\"human-real-normal\\\\\\", \\\\\\"score\\\\\\": 0.9690580798778683, \\\\\\"bbox\\\\\\": [77, 280, 431, 569], \\\\\\"cloth_category\\\\\\": \\\\\\"modern\\\\\\", \\\\\\"cloth_category_score\\\\\\": 0.7393399477005005}]], \\\\\\"sceneInfo\\\\\\": [[{\\\\\\"category\\\\\\": \\\\\\"gamescreen-gameeffect\\\\\\", \\\\\\"score\\\\\\": 0.44200169294841274}]], \\\\\\"objectInfo\\\\\\": [null]}}\\"}]}',
+                                    ],
+                                    'ErrorCode' => [
+                                        'description' => '异步任务错误码。',
+                                        'type' => 'string',
+                                        'example' => 'InvalidParameter',
+                                    ],
+                                    'JobId' => [
+                                        'description' => '异步任务ID。',
+                                        'type' => 'string',
+                                        'example' => '72CFDC08-3FEF-56AA-91E5-B14DE31C09C2',
+                                    ],
+                                ],
+                            ],
+                        ],
+                    ],
+                ],
+            ],
+            'errorCodes' => [
+                400 => [
+                    [
+                        'errorCode' => 'ParameterError',
+                        'errorMessage' => 'The parameter is invalid. Please check again.',
+                    ],
+                ],
+                403 => [
+                    [
+                        'errorCode' => 'AuthFailed',
+                        'errorMessage' => 'An error occurred while performing authorization. Please check your RAM configuration.',
+                    ],
+                ],
+                408 => [
+                    [
+                        'errorCode' => 'Timeout',
+                        'errorMessage' => 'The request has timed out.',
+                    ],
+                ],
+                503 => [
+                    [
+                        'errorCode' => 'ServiceUnavailable',
+                        'errorMessage' => 'The service is unavailable.',
+                    ],
+                ],
+            ],
+            'responseDemo' => '[{"type":"json","example":"{\\n  \\"RequestId\\": \\"572974F0-1014-5C60-97EE-DBFFC0FF7616\\",\\n  \\"Data\\": {\\n    \\"Status\\": \\"PROCESS_SUCCESS\\",\\n    \\"ErrorMessage\\": \\"paramsIllegal\\",\\n    \\"Result\\": \\"{\\\\\\\\\\\\\\"tags\\\\\\\\\\\\\\":[{\\\\\\\\\\\\\\"confidence\\\\\\\\\\\\\\":-1,\\\\\\\\\\\\\\"value\\\\\\\\\\\\\\":\\\\\\\\\\\\\\"{\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\"tagInfo\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\": {\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\"humanInfo\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\": [[{\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\"category\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\": \\\\\\\\\\\\\\\\\\\\\\\\\\\\\\"human-real-normal\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\", \\\\\\\\\\\\\\\\\\\\\\\\\\\\\\"score\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\": 0.9690580798778683, \\\\\\\\\\\\\\\\\\\\\\\\\\\\\\"bbox\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\": [77, 280, 431, 569], \\\\\\\\\\\\\\\\\\\\\\\\\\\\\\"cloth_category\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\": \\\\\\\\\\\\\\\\\\\\\\\\\\\\\\"modern\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\", \\\\\\\\\\\\\\\\\\\\\\\\\\\\\\"cloth_category_score\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\": 0.7393399477005005}]], \\\\\\\\\\\\\\\\\\\\\\\\\\\\\\"sceneInfo\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\": [[{\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\"category\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\": \\\\\\\\\\\\\\\\\\\\\\\\\\\\\\"gamescreen-gameeffect\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\", \\\\\\\\\\\\\\\\\\\\\\\\\\\\\\"score\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\": 0.44200169294841274}]], \\\\\\\\\\\\\\\\\\\\\\\\\\\\\\"objectInfo\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\": [null]}}\\\\\\\\\\\\\\"}]}\\",\\n    \\"ErrorCode\\": \\"InvalidParameter\\",\\n    \\"JobId\\": \\"72CFDC08-3FEF-56AA-91E5-B14DE31C09C2\\"\\n  }\\n}","errorExample":""},{"type":"xml","example":"<GetAsyncJobResultResponse>\\n    <RequestId>572974F0-1014-5C60-97EE-DBFFC0FF7616</RequestId>\\n    <Data>\\n        <Status>PROCESS_SUCCESS</Status>\\n        <ErrorMessage>paramsIllegal</ErrorMessage>\\n        <Result>{\\\\\\"tags\\\\\\":[{\\\\\\"confidence\\\\\\":-1,\\\\\\"value\\\\\\":\\\\\\"{\\\\\\\\\\\\\\"tagInfo\\\\\\\\\\\\\\": {\\\\\\\\\\\\\\"humanInfo\\\\\\\\\\\\\\": [[{\\\\\\\\\\\\\\"category\\\\\\\\\\\\\\": \\\\\\\\\\\\\\"human-real-normal\\\\\\\\\\\\\\", \\\\\\\\\\\\\\"score\\\\\\\\\\\\\\": 0.9690580798778683, \\\\\\\\\\\\\\"bbox\\\\\\\\\\\\\\": [77, 280, 431, 569], \\\\\\\\\\\\\\"cloth_category\\\\\\\\\\\\\\": \\\\\\\\\\\\\\"modern\\\\\\\\\\\\\\", \\\\\\\\\\\\\\"cloth_category_score\\\\\\\\\\\\\\": 0.7393399477005005}]], \\\\\\\\\\\\\\"sceneInfo\\\\\\\\\\\\\\": [[{\\\\\\\\\\\\\\"category\\\\\\\\\\\\\\": \\\\\\\\\\\\\\"gamescreen-gameeffect\\\\\\\\\\\\\\", \\\\\\\\\\\\\\"score\\\\\\\\\\\\\\": 0.44200169294841274}]], \\\\\\\\\\\\\\"objectInfo\\\\\\\\\\\\\\": [null]}}\\\\\\"}]}</Result>\\n        <ErrorCode>InvalidParameter</ErrorCode>\\n        <JobId>72CFDC08-3FEF-56AA-91E5-B14DE31C09C2</JobId>\\n    </Data>\\n</GetAsyncJobResultResponse>","errorExample":""}]',
+            'title' => '查询异步任务结果',
+            'summary' => '本文介绍查询异步任务结果GetAsyncJobResult的语法及示例。',
+            'description' => '## 功能描述'."\n"
+                .'针对异步接口，调用API接口后，返回的并不是真正的请求结果，您需要保存返回结果中的RequestId，然后调用GetAsyncJobResult来获取真正的请求结果。'."\n"
+                ."\n"
+                .'> - 异步任务的文件有过期时间，有效期是30分钟。如需长期使用，需及时将文件下载到本地服务器或存储在OSS中。有关OSS更多操作信息，请参见[上传文件](~~31886~~)。'."\n"
+                .'- 阿里云视觉智能开放平台视觉AI能力API接入、接口使用或问题咨询等，请通过钉钉群（23109592）加入阿里云视觉智能开放平台咨询群联系我们。'."\n"
+                ."\n\n"
+                .'当前图像识别类目中广告素材分析（TaggingAdImage）为异步接口，需要调用GetAsyncJobResult来获取真实的请求结果。',
+            'requestParamsDescription' => ' ',
+            'responseParamsDescription' => '## SDK参考'."\n"
+                .'阿里云视觉AI能力推荐使用SDK调用，支持多种编程语言，文件参数通过SDK调用可支持本地文件及任意URL，具体可参见[SDK总览](~~145033~~)。',
+            'extraInfo' => '## 错误码'."\n"
+                .'关于查询异步任务结果的错误码，详情请参见[常见错误码](~~145022~~)。'."\n"
+                ."\n"
+                .'## 安全声明'."\n"
+                .'- 请确保上传的图片或文件来源符合相应的法律法规。'."\n"
+                .'- 通过体验调试上传的临时文件有效期为1小时，在24小时后会被系统自动清理删除。',
+        ],
+        'EvaluateCertificateQuality' => [
+            'methods' => [
+                'post',
+                'get',
+            ],
+            'schemes' => [
+                'http',
+                'https',
+            ],
+            'security' => [
+                [
+                    'AK' => [],
+                ],
+            ],
+            'operationType' => 'read',
+            'deprecated' => false,
+            'systemTags' => [],
+            'parameters' => [
+                [
+                    'name' => 'ImageURL',
+                    'in' => 'formData',
+                    'schema' => [
+                        'description' => '图像URL地址。推荐使用上海地域的OSS链接，对于文件在本地或者非上海地域OSS链接的情况，请参见[文件URL处理](~~155645~~)。',
+                        'type' => 'string',
+                        'required' => true,
+                        'example' => 'https://viapi-doc.oss-cn-shanghai.aliyuncs.com/imagerecog/xxxxx.jpg',
+                        'isFileTransferUrl' => true,
+                    ],
+                ],
+                [
+                    'name' => 'Type',
+                    'in' => 'formData',
+                    'schema' => [
+                        'description' => '证照类型。'."\n"
+                            ."\n"
+                            .'- IDCard：身份证。'."\n"
+                            .'- BusinessLicense：电子执照。',
+                        'type' => 'string',
+                        'required' => true,
+                        'example' => 'BusinessLicense',
+                    ],
+                ],
+            ],
+            'responses' => [
+                200 => [
+                    'schema' => [
+                        'type' => 'object',
+                        'properties' => [
+                            'RequestId' => [
+                                'description' => '请求ID。',
+                                'type' => 'string',
+                                'example' => '656318DC-3856-43E3-9147-859532721AD6',
+                            ],
+                            'Data' => [
+                                'description' => '返回的结果数据内容。',
+                                'type' => 'object',
+                                'properties' => [
+                                    'Elements' => [
+                                        'description' => '输出识别出的质量问题列表。',
+                                        'type' => 'array',
+                                        'items' => [
+                                            'type' => 'object',
+                                            'properties' => [
+                                                'Value' => [
+                                                    'description' => '问题类型。'."\n"
+                                                        ."\n"
+                                                        .'- lackoffront： 缺乏正面照。'."\n"
+                                                        .'- copy：复印件。'."\n"
+                                                        .'- imageincomplete：证件图像不完整。'."\n"
+                                                        .'- nationalemblemincomplete：营业执照国徽不完整。'."\n"
+                                                        .'- lackofseal：缺乏印章。'."\n"
+                                                        .'- electronic：来源于电子档。'."\n"
+                                                        .'- reflection：反光。'."\n"
+                                                        ."\n"
+                                                        .'> - 如果请求参数**Type**为IDCard，无lackofseal（缺乏印章）。'."\n"
+                                                        .'- 如果请求参数**Type**为BusinessLicense，无lackoffront（缺乏正面照）。'."\n",
+                                                    'type' => 'string',
+                                                    'example' => 'lackoffront',
+                                                ],
+                                                'Pass' => [
+                                                    'description' => '是否通过检查。'."\n"
+                                                        ."\n"
+                                                        .'- true：通过检查。'."\n"
+                                                        .'- false：未通过检查。'."\n"
+                                                        .'- verify：无法检验证照质量，请人工确认。'."\n"
+                                                        .'- ERROR：该模块算法推理失败。',
+                                                    'type' => 'string',
+                                                    'example' => 'false',
+                                                ],
+                                                'Score' => [
+                                                    'description' => '质量问题分值，分值越高，问题越严重，取值为0~100之间的整数。'."\n"
+                                                        ."\n"
+                                                        .'- 当系统无法给出分值时，输出结果为`score`。'."\n"
+                                                        .'- 当**Pass**字段为`ERROR`时，输出结果为`null`。',
+                                                    'type' => 'string',
+                                                    'example' => '0.06514739990234375',
+                                                ],
+                                            ],
+                                        ],
+                                    ],
+                                ],
+                            ],
+                        ],
+                    ],
+                ],
+            ],
+            'errorCodes' => [
+                400 => [
+                    [
+                        'errorCode' => 'ParameterError',
+                        'errorMessage' => 'The parameter is invalid. Please check again.',
+                    ],
+                ],
+                403 => [
+                    [
+                        'errorCode' => 'AuthFailed',
+                        'errorMessage' => 'An error occurred while performing authorization. Please check your RAM configuration.',
+                    ],
+                ],
+                408 => [
+                    [
+                        'errorCode' => 'Timeout',
+                        'errorMessage' => 'The request has timed out.',
+                    ],
+                ],
+                503 => [
+                    [
+                        'errorCode' => 'ServiceUnavailable',
+                        'errorMessage' => 'The service is unavailable.',
+                    ],
+                ],
+            ],
+            'responseDemo' => '[{"type":"json","example":"{\\n  \\"RequestId\\": \\"656318DC-3856-43E3-9147-859532721AD6\\",\\n  \\"Data\\": {\\n    \\"Elements\\": [\\n      {\\n        \\"Value\\": \\"lackoffront\\",\\n        \\"Pass\\": \\"false\\",\\n        \\"Score\\": \\"0.06514739990234375\\"\\n      }\\n    ]\\n  }\\n}","errorExample":""},{"type":"xml","example":"<RequestId>656318DC-3856-43E3-9147-859532721AD6</RequestId>\\n<Data>\\n    <Elements>\\n        <Value>lackoffront</Value>\\n        <Score>0.06514739990234375</Score>\\n        <Pass>false</Pass>\\n    </Elements>\\n</Data>","errorExample":""}]',
+            'title' => '证件照质量审核',
+            'summary' => '本文介绍证件照质量审核EvaluateCertificateQuality的语法及示例。',
+            'description' => '## 功能描述'."\n"
+                .'证件照质量审核能力可以识别拍摄的证件照片是否存在质量问题，且有哪些质量问题。'."\n"
+                ."\n"
+                .'> - 您可以进入[在线咨询](https://www.aliyun.com/core/online-consult?from=aZgW6LJHr2)获取在线人工帮助。'."\n"
+                .'- 阿里云视觉智能开放平台视觉AI能力API接入、接口使用或问题咨询等，请通过钉钉群（23109592）加入阿里云视觉智能开放平台咨询群联系我们。'."\n"
+                ."\n"
+                .'## 应用场景'."\n"
+                ."\n"
+                .'- 网络认证：在网络认证时，需要提交身份证、营业执照、护照、支票等证件照片。而拍摄的照片质量不一，部分照片由于拍摄或水印的原因，难以达到认证的清晰程度要求。证件照质量审核可以自动识别出证件图像质量问题，减少人力审核投入。'."\n"
+                .'- 登记注册：在线下登记注册操作时，需要拍摄证件电子档照片，但拍摄条件水平不一， 部分照片质量存在问题。通过证件照质量审核可以筛选出有质量问题的照片，以免使用和识别的过程中出现操作失败和报错的情况。'."\n"
+                ."\n"
+                .'## 特色优势'."\n"
+                ."\n"
+                .'- 全方面检查：对影响认证的照片质量因素做全方面检查。检查项包括：是否目标证件类型、是否缺乏正面照、是否为复印件、证件图像是否完整、是否缺乏印章、是否来源于电子档、有无反光、有无水印覆盖、文字清晰度。从以上方面考察照片是否影响认证效力。'."\n"
+                .'- 实际业务积累：该算法经过阿里实际业务沉淀，实际总结了诸多影响注册审核的各种质量问题，可助力业务自动化。'."\n"
+                ."\n"
+                .'## 接入指引'."\n"
+                .'1. 注册阿里云账号：打开[阿里云官网](https://www.aliyun.com)，在阿里云官网右上角，单击**立即注册**，按照操作提示完成账号注册。'."\n"
+                .'2. 开通能力：请确保您已开通[图像识别服务](https://vision.aliyun.com/imagerecog)，若未开通服务请[立即开通](https://common-buy.aliyun.com/?commodityCode=viapi_imagerecog_public_cn#/open)。'."\n"
+                .'3. 创建AccessKey：请确保您已[创建AccessKey](~~175144~~)，如果您使用的是子账号AccessKey，您需要给子账号赋予AliyunVIAPIFullAccess权限，具体操作，请参见[RAM授权](~~145025~~)。'."\n"
+                .'4. 在线调试（可选）：您可以通过[OpenAPI Explorer](https://next.api.aliyun.com/api/imagerecog/2019-09-30/EvaluateCertificateQuality?lang=JAVA)在线调试能力，查看完整的调用示例代码及SDK依赖信息，也可以下载完整的工程。'."\n"
+                .'5. 开发接入步骤：'."\n"
+                .'- 在[SDK总览](~~145033~~)中选择您要接入使用的SDK语言。'."\n"
+                .'- 在对应语言的SDK文档中找到AI类目为图像识别（imagerecog）的SDK包进行安装。'."\n"
+                .'- 参考文档中提供的示例代码进行适当修改后调用。'."\n"
+                ."\n"
+                .'6. 示例代码：该能力常用语言的示例代码，请参见[证件照质量审核示例代码](~~601120~~)。'."\n"
+                ."\n"
+                .'7. 客户端直接调用：该能力常用的客户端调用方式包括以下几种。'."\n"
+                .'- [Web前端直接调用](~~467779~~)'."\n"
+                .'- [小程序场景下直接调用](~~467780~~)'."\n"
+                .'- [Android端直接调用](~~467781~~)'."\n"
+                .'- [iOS端直接调用](~~467782~~)'."\n"
+                ."\n"
+                .'## 输入限制'."\n"
+                .'- 图像类型：JPEG、JPG、BMP、PNG。'."\n"
+                .'- 图像大小：小于10 MB。'."\n"
+                .'- 图像分辨率：大于100×100像素，小于5000×5000像素。'."\n"
+                .'- URL地址中不能包含中文字符。',
+            'requestParamsDescription' => ' ',
+            'responseParamsDescription' => '## SDK参考'."\n"
+                .'阿里云视觉AI图像识别类目下的证件照质量审核能力推荐使用SDK调用，支持多种编程语言，调用时请选择AI类目为图像识别（imagerecog）的SDK包，文件参数通过SDK调用可支持本地文件及任意URL，具体可参见[SDK总览](~~145033~~)。'."\n"
+                ."\n"
+                .'## 示例代码'."\n"
+                .'该能力常用语言的示例代码，请参见[证件照质量审核示例代码](~~601120~~)。',
+            'extraInfo' => '## 错误码'."\n"
+                .'关于证件照质量审核的错误码，详情请参见[常见错误码](~~145022~~)。'."\n"
+                ."\n"
+                .'## 安全声明'."\n"
+                .'- 请确保上传的图片或文件来源符合相应的法律法规。'."\n"
+                .'- 通过体验调试上传的临时文件有效期为1小时，在24小时后会被系统自动清理删除。',
+        ],
+        'TaggingImage' => [
+            'methods' => [
+                'post',
+            ],
+            'schemes' => [
+                'http',
+                'https',
+            ],
+            'security' => [
+                [
+                    'AK' => [],
+                ],
+            ],
+            'operationType' => 'read',
+            'deprecated' => false,
+            'systemTags' => [],
+            'parameters' => [
+                [
+                    'name' => 'ImageURL',
+                    'in' => 'formData',
+                    'schema' => [
+                        'description' => '图像URL地址。推荐使用上海地域的OSS链接，对于文件在本地或者非上海地域OSS链接的情况，请参见[文件URL处理](~~155645~~)。',
+                        'type' => 'string',
+                        'required' => true,
+                        'example' => 'http://viapi-test.oss-cn-shanghai.aliyuncs.com/viapi-3.0domepic/imagerecog/TaggingImage/TaggingImage1.jpg',
+                        'isFileTransferUrl' => true,
+                    ],
+                ],
+            ],
+            'responses' => [
+                200 => [
+                    'schema' => [
+                        'description' => '1',
+                        'type' => 'object',
+                        'properties' => [
+                            'RequestId' => [
+                                'description' => '请求ID。',
+                                'type' => 'string',
+                                'example' => '70ED13B0-BC22-576D-9CCF-1CC12FEAC477',
+                            ],
+                            'Data' => [
+                                'description' => '返回的结果数据内容。',
+                                'type' => 'object',
+                                'properties' => [
+                                    'Tags' => [
+                                        'description' => '输出打标结果，最多输出5个打标结果，如果某个类别标签未输出，则对应的置信度`confidence`为零。',
+                                        'type' => 'array',
+                                        'items' => [
+                                            'description' => '1',
+                                            'type' => 'object',
+                                            'properties' => [
+                                                'Value' => [
+                                                    'description' => '标签名称。具体取值请[下载Label文件](https://viapi-oss.oss-cn-shanghai.aliyuncs.com/doc/imagerecog/label.txt)查看。',
+                                                    'type' => 'string',
+                                                    'example' => '沙发',
+                                                ],
+                                                'Confidence' => [
+                                                    'description' => '标签名称对应的置信度，取值范围0~100。',
+                                                    'type' => 'number',
+                                                    'format' => 'float',
+                                                    'example' => '65',
+                                                ],
+                                            ],
+                                        ],
+                                    ],
+                                ],
+                            ],
+                        ],
+                    ],
+                ],
+            ],
+            'errorCodes' => [
+                400 => [
+                    [
+                        'errorCode' => 'ParameterError',
+                        'errorMessage' => 'The parameter is invalid. Please check again.',
+                    ],
+                ],
+                403 => [
+                    [
+                        'errorCode' => 'AuthFailed',
+                        'errorMessage' => 'An error occurred while performing authorization. Please check your RAM configuration.',
+                    ],
+                ],
+                408 => [
+                    [
+                        'errorCode' => 'Timeout',
+                        'errorMessage' => 'The request has timed out.',
+                    ],
+                ],
+                503 => [
+                    [
+                        'errorCode' => 'ServiceUnavailable',
+                        'errorMessage' => 'The service is unavailable.',
+                    ],
+                ],
+            ],
+            'responseDemo' => '[{"type":"json","example":"{\\n  \\"RequestId\\": \\"70ED13B0-BC22-576D-9CCF-1CC12FEAC477\\",\\n  \\"Data\\": {\\n    \\"Tags\\": [\\n      {\\n        \\"Value\\": \\"沙发\\",\\n        \\"Confidence\\": 65\\n      }\\n    ]\\n  }\\n}","errorExample":""},{"type":"xml","example":"<TaggingImageResponse>\\n    <RequestId>70ED13B0-BC22-576D-9CCF-1CC12FEAC477</RequestId>\\n    <Data>\\n        <Tags>\\n            <Confidence>65</Confidence>\\n            <Value>沙发</Value>\\n        </Tags>\\n        <Tags>\\n            <Confidence>41</Confidence>\\n            <Value>床</Value>\\n        </Tags>\\n        <Tags>\\n            <Confidence>24</Confidence>\\n            <Value>家具</Value>\\n        </Tags>\\n        <Tags>\\n            <Confidence>13</Confidence>\\n            <Value>长沙发</Value>\\n        </Tags>\\n        <Tags>\\n            <Confidence>11</Confidence>\\n            <Value>卧室</Value>\\n        </Tags>\\n    </Data>\\n</TaggingImageResponse>","errorExample":""}]',
+            'title' => '通用图像打标',
+            'summary' => '本文介绍通用图像打标TaggingImage的语法及示例。',
+            'description' => '## 功能描述'."\n"
+                .'通用图像打标能力用于识别图像中的主体内容并打上类型标签，支持数千个内容标签，覆盖常见物体品类。'."\n"
+                ."\n"
+                .'> - 您可以进入[在线咨询](https://www.aliyun.com/core/online-consult?from=aZgW6LJHr2)获取在线人工帮助。'."\n"
+                .'- 当前能力可在视觉智能开放平台有完整的免费产品体验，您可以单击[立即试用](https://vision.aliyun.com/experience/detail?&tagName=imagerecog&children=TaggingImage)对该能力进行更直观试用以及在线购买。'."\n"
+                .'- 阿里云视觉智能开放平台视觉AI能力API接入、接口使用或问题咨询等，请通过钉钉群（23109592）加入阿里云视觉智能开放平台咨询群联系我们。'."\n"
+                ."\n"
+                .'## 接入指引'."\n"
+                .'1. 注册阿里云账号：打开[阿里云官网](https://www.aliyun.com)，在阿里云官网右上角，单击**立即注册**，按照操作提示完成账号注册。'."\n"
+                .'2. 开通能力：请确保您已开通[图像识别服务](https://vision.aliyun.com/imagerecog)，若未开通服务请[立即开通](https://common-buy.aliyun.com/?commodityCode=viapi_imagerecog_public_cn#/open)。'."\n"
+                .'3. 创建AccessKey：请确保您已[创建AccessKey](~~175144~~)，如果您使用的是子账号AccessKey，您需要给子账号赋予AliyunVIAPIFullAccess权限，具体操作，请参见[RAM授权](~~145025~~)。'."\n"
+                .'4. 在线调试（可选）：您可以通过[OpenAPI Explorer](https://next.api.aliyun.com/api/imagerecog/2019-09-30/TaggingImage?lang=JAVA&sdkStyle=dara&params=%7B%22ImageURL%22%3A%22http%3A%2F%2Fviapi-test.oss-cn-shanghai.aliyuncs.com%2Fviapi-3.0domepic%2Fimagerecog%2FTaggingImage%2FTaggingImage1.jpg%22%7D&tab=DEMO)在线调试能力，查看完整的调用示例代码及SDK依赖信息，也可以下载完整的工程。'."\n"
+                .'5. 开发接入步骤：'."\n"
+                .'- 在[SDK总览](~~145033~~)中选择您要接入使用的SDK语言。'."\n"
+                .'- 在对应语言的SDK文档中找到AI类目为图像识别（imagerecog）的SDK包进行安装。'."\n"
+                .'- 参考文档中提供的示例代码进行适当修改后调用。'."\n"
+                ."\n"
+                .'6. 示例代码：该能力常用语言的示例代码，请参见[通用图像打标示例代码](~~601100~~)。'."\n"
+                ."\n"
+                .'7. 客户端直接调用：该能力常用的客户端调用方式包括以下几种。'."\n"
+                .'- [Web前端直接调用](~~467779~~)'."\n"
+                .'- [小程序场景下直接调用](~~467780~~)'."\n"
+                .'- [Android端直接调用](~~467781~~)'."\n"
+                .'- [iOS端直接调用](~~467782~~)'."\n"
+                ."\n"
+                .'## 输入限制'."\n"
+                .'- 图像格式：JPEG、JPG、PNG、BMP。'."\n"
+                .'- 图像大小：不超过3 MB。'."\n"
+                .'- 图像分辨率：大于5×5像素。'."\n"
+                .'- URL地址中不能包含中文字符。'."\n"
+                ."\n"
+                .'## 计费说明'."\n"
+                .'关于通用图像打标的计费方式及报价，请参见[计费介绍](~~202481~~)。'."\n"
+                ."\n"
+                .'> 下方调试接口为付费接口，如需免费体验调试请前往[体验中心](https://vision.aliyun.com/experience/detail?&tagName=imagerecog&children=TaggingImage)。',
+            'requestParamsDescription' => ' ',
+            'responseParamsDescription' => '## SDK参考'."\n"
+                .'阿里云视觉AI图像识别类目下的通用图像打标能力推荐使用SDK调用，支持多种编程语言，调用时请选择AI类目为图像识别（imagerecog）的SDK包，文件参数通过SDK调用可支持本地文件及任意URL，具体可参见[SDK总览](~~145033~~)。'."\n"
+                ."\n"
+                .'## 示例代码'."\n"
+                .'该能力常用语言的示例代码，请参见[通用图像打标示例代码](~~601100~~)。',
+            'extraInfo' => '## 错误码'."\n"
+                .'关于通用图像打标的错误码，详情请参见[常见错误码](~~145022~~)。'."\n"
+                ."\n"
+                .'## 安全声明'."\n"
+                .'- 请确保上传的图片或文件来源符合相应的法律法规。'."\n"
+                .'- 通过体验调试上传的临时文件有效期为1小时，在24小时后会被系统自动清理删除。',
+        ],
+        'ClassifyingRubbish' => [
+            'methods' => [
+                'post',
+            ],
+            'schemes' => [
+                'http',
+                'https',
+            ],
+            'security' => [
+                [
+                    'AK' => [],
+                ],
+            ],
+            'operationType' => 'read',
+            'deprecated' => false,
+            'systemTags' => [],
+            'parameters' => [
+                [
+                    'name' => 'ImageURL',
+                    'in' => 'formData',
+                    'schema' => [
+                        'description' => '图像URL地址。推荐使用上海地域的OSS链接，对于文件在本地或者非上海地域OSS链接的情况，请参见[文件URL处理](~~155645~~)。',
+                        'type' => 'string',
+                        'required' => true,
+                        'example' => 'http://viapi-test.oss-cn-shanghai.aliyuncs.com/viapi-3.0domepic/imagerecog/ClassifyingRubbish/ClassifyingRubbish6.jpg',
+                        'isFileTransferUrl' => true,
+                    ],
+                ],
+            ],
+            'responses' => [
+                200 => [
+                    'schema' => [
+                        'type' => 'object',
+                        'properties' => [
+                            'RequestId' => [
+                                'description' => '请求ID。',
+                                'type' => 'string',
+                                'example' => '1619647E-92ED-5641-A1D9-F05C33FD294A',
+                            ],
+                            'Data' => [
+                                'description' => '返回的结果数据内容。',
+                                'type' => 'object',
+                                'properties' => [
+                                    'Sensitive' => [
+                                        'description' => '图片中是否存在敏感信息。'."\n"
+                                            ."\n"
+                                            .'- true：存在敏感信息，不会返回具体垃圾分类信息。'."\n"
+                                            ."\n"
+                                            .'- false：不存在敏感信息。',
+                                        'type' => 'boolean',
+                                        'example' => 'false',
+                                    ],
+                                    'Elements' => [
+                                        'description' => '输出垃圾识别结果。',
+                                        'type' => 'array',
+                                        'items' => [
+                                            'type' => 'object',
+                                            'properties' => [
+                                                'CategoryScore' => [
+                                                    'description' => '识别出的垃圾类别的置信度。',
+                                                    'type' => 'number',
+                                                    'format' => 'float',
+                                                    'example' => '0.9406',
+                                                ],
+                                                'Rubbish' => [
+                                                    'description' => '具体的物品名称。',
+                                                    'type' => 'string',
+                                                    'example' => '纸板箱',
+                                                ],
+                                                'RubbishScore' => [
+                                                    'description' => '物品名称的置信度。',
+                                                    'type' => 'number',
+                                                    'format' => 'float',
+                                                    'example' => '0.9406',
+                                                ],
+                                                'Category' => [
+                                                    'description' => '垃圾类别。包括可回收垃圾、干垃圾、湿垃圾、有害垃圾。',
+                                                    'type' => 'string',
+                                                    'example' => '可回收垃圾',
+                                                ],
+                                            ],
+                                        ],
+                                    ],
+                                ],
+                            ],
+                        ],
+                    ],
+                ],
+            ],
+            'errorCodes' => [
+                400 => [
+                    [
+                        'errorCode' => 'ParameterError',
+                        'errorMessage' => 'The parameter is invalid. Please check again.',
+                    ],
+                ],
+                403 => [
+                    [
+                        'errorCode' => 'AuthFailed',
+                        'errorMessage' => 'An error occurred while performing authorization. Please check your RAM configuration.',
+                    ],
+                ],
+                408 => [
+                    [
+                        'errorCode' => 'Timeout',
+                        'errorMessage' => 'The request has timed out.',
+                    ],
+                ],
+                503 => [
+                    [
+                        'errorCode' => 'ServiceUnavailable',
+                        'errorMessage' => 'The service is unavailable.',
+                    ],
+                ],
+            ],
+            'responseDemo' => '[{"type":"json","example":"{\\n  \\"RequestId\\": \\"1619647E-92ED-5641-A1D9-F05C33FD294A\\",\\n  \\"Data\\": {\\n    \\"Sensitive\\": false,\\n    \\"Elements\\": [\\n      {\\n        \\"CategoryScore\\": 0.9406,\\n        \\"Rubbish\\": \\"纸板箱\\",\\n        \\"RubbishScore\\": 0.9406,\\n        \\"Category\\": \\"可回收垃圾\\"\\n      }\\n    ]\\n  }\\n}","errorExample":""},{"type":"xml","example":"<ClassifyingRubbishResponse>\\n    <RequestId>1619647E-92ED-5641-A1D9-F05C33FD294A</RequestId>\\n    <Data>\\n        <Sensitive>false</Sensitive>\\n        <Elements>\\n            <Rubbish>纸板箱</Rubbish>\\n            <Category>可回收垃圾</Category>\\n            <CategoryScore>0.9406</CategoryScore>\\n            <RubbishScore>0.9406</RubbishScore>\\n        </Elements>\\n    </Data>\\n</ClassifyingRubbishResponse>","errorExample":""}]',
+            'title' => '垃圾分类识别',
+            'summary' => '本文档介绍垃圾分类识别ClassifyingRubbish的语法及示例。',
+            'description' => '## 功能描述'."\n"
+                .'垃圾分类识别能力可以对图片中的物品垃圾进行分类，并给出具体的物品名称。'."\n"
+                ."\n"
+                .'> - 您可以进入[在线咨询](https://www.aliyun.com/core/online-consult?from=aZgW6LJHr2)获取在线人工帮助。'."\n"
+                .'- 当前能力可在视觉智能开放平台有完整的免费产品体验，您可以单击[立即试用](https://vision.aliyun.com/experience/detail?&tagName=imagerecog&children=ClassifyingRubbish)对该能力进行更直观试用以及在线购买。'."\n"
+                .'- 阿里云视觉智能开放平台视觉AI能力API接入、接口使用或问题咨询等，请通过钉钉群（23109592）加入阿里云视觉智能开放平台咨询群联系我们。'."\n"
+                ."\n"
+                .'## 接入指引'."\n"
+                .'1. 注册阿里云账号：打开[阿里云官网](https://www.aliyun.com)，在阿里云官网右上角，单击**立即注册**，按照操作提示完成账号注册。'."\n"
+                .'2. 开通能力：请确保您已开通[图像识别服务](https://vision.aliyun.com/imagerecog)，若未开通服务请[立即开通](https://common-buy.aliyun.com/?commodityCode=viapi_imagerecog_public_cn#/open)。'."\n"
+                .'3. 创建AccessKey：请确保您已[创建AccessKey](~~175144~~)，如果您使用的是子账号AccessKey，您需要给子账号赋予AliyunVIAPIFullAccess权限，具体操作，请参见[RAM授权](~~145025~~)。'."\n"
+                .'4. 在线调试（可选）：您可以通过[OpenAPI Explorer](https://next.api.aliyun.com/api/imagerecog/2019-09-30/ClassifyingRubbish?lang=JAVA&sdkStyle=dara&params=%7B%22ImageURL%22%3A%22http%3A%2F%2Fviapi-test.oss-cn-shanghai.aliyuncs.com%2Fviapi-3.0domepic%2Fimagerecog%2FClassifyingRubbish%2FClassifyingRubbish1.jpg%22%7D&tab=DEMO)在线调试能力，查看完整的调用示例代码及SDK依赖信息，也可以下载完整的工程。'."\n"
+                .'5. 开发接入步骤：'."\n"
+                .'- 在[SDK总览](~~145033~~)中选择您要接入使用的SDK语言。'."\n"
+                .'- 在对应语言的SDK文档中找到AI类目为图像识别（imagerecog）的SDK包进行安装。'."\n"
+                .'- 参考文档中提供的示例代码进行适当修改后调用。'."\n"
+                ."\n"
+                .'6. 示例代码：该能力常用语言的示例代码，请参见[垃圾分类识别示例代码](~~601145~~)。'."\n"
+                ."\n"
+                .'7. 客户端直接调用：该能力常用的客户端调用方式包括以下几种。'."\n"
+                .'- [Web前端直接调用](~~467779~~)'."\n"
+                .'- [小程序场景下直接调用](~~467780~~)'."\n"
+                .'- [Android端直接调用](~~467781~~)'."\n"
+                .'- [iOS端直接调用](~~467782~~)'."\n"
+                ."\n"
+                .'## 输入限制'."\n"
+                .'- 图像类型：JPEG、JPG、PNG。'."\n"
+                .'- 图像大小：不大于3 MB。'."\n"
+                .'- 图像分辨率：不限制图像分辨率，但图像分辨率太高可能会导致API识别超时，超时时间为5秒。'."\n"
+                .'- URL地址中不能包含中文字符。'."\n"
+                ."\n"
+                .'## 计费说明'."\n"
+                .'关于垃圾分类识别的计费方式及报价，请参见[计费介绍](~~202481~~)。'."\n"
+                ."\n"
+                .'> 下方调试接口为付费接口，如需免费体验调试请前往[体验中心](https://vision.aliyun.com/experience/detail?&tagName=imagerecog&children=ClassifyingRubbish)。',
+            'requestParamsDescription' => ' ',
+            'responseParamsDescription' => '## 常见垃圾输出列举值'."\n"
+                .'- 湿垃圾：'."\n"
+                .'八宝粥，冰激凌，冰糖葫芦，饼干，菠萝，菠萝蜜，菜根菜叶，残渣剩饭，草莓，茶叶，肠，橙子，蛋，蛋糕，蛋挞，地瓜，豆，豆腐，番茄，粉条，甘蔗，骨头，瓜子，果冻，果壳，果皮，哈密瓜，核桃，火龙果，火腿，鸡翅，坚果，秸秆杯，秸秆碗，咖啡，烤鸡，辣椒，梨，萝卜，面包，蘑菇，泡菜，苹果，巧克力，肉类，圣女果，蔬菜，薯片，薯条，水果，蒜，鱼骨。'."\n"
+                ."\n"
+                .'- 可回收垃圾：'."\n"
+                .'包，保温杯，保鲜膜内芯，玻璃壶，玻璃瓶，玻璃器皿，玻璃球，玻璃制品，不锈钢制品，布制品，餐垫，餐具，插头电线，插线板，尺子，充电宝，充电头，充电线，充电牙刷，吹风机，磁铁，搓衣板，打包绳，打气筒，打印机，单车，档案袋，刀，地球仪，地铁票，灯罩，登机牌，凳子，电磁炉，电动卷发棒，电动剃须刀，电饭煲，电风扇，电话，电路板，显示器，电视机，电熨斗，电子秤，垫子，吊牌，调料瓶，钉子，订书机，豆浆机，耳机，耳套，放大镜，盖子，购物纸袋，锅，锅盖，果冻杯，过滤网，盒子，呼啦圈，护肤品瓶，话筒，计算器，键盘，金属罐，金属制品，酒瓶，卡片，空气加湿器，空气净化器，裤子，快递纸袋，拉杆箱，量杯，笼子，路由器，铝制用品，轮胎，帽子，灭火器，模具，木雕，木棍，木桶，木制切菜板，木质锅铲，木质梳子，奶粉罐，闹铃，尼龙绳，镊子，暖宝宝，盘子，泡沫板，乒乓球拍，棋子，铅球，裙子，燃气瓶，燃气灶，热水瓶，日历，扫地机器人，沙发，食用油桶，饰品，收音机，手表，手电筒，手机，手链，书，鼠标，水杯，水壶，塑料碗盆，塑料制品，台灯，太阳能热水器，毯子，体重秤，铁丝球，拖鞋，袜子，玩具，碗，网卡，望远镜，洗发水瓶，箱子，鞋，鞋子，信封，烟灰缸，遥控器，钥匙，衣服，衣架，音响，饮料瓶，鱼缸，瑜伽球，雨伞，枕头，纸牌，纸箱，纸制品，桌子。'."\n"
+                ."\n"
+                .'- 干垃圾：'."\n"
+                .'百洁布，笔，便利贴，彩票，餐盒，餐巾纸，苍蝇拍，草帽，茶壶碎片，唱片，车票，除湿袋，厨房抹布，厨房手套，串串竹签，创可贴，搓澡巾，打火机，起泡网，大龙虾头，电蚊香，电影票，防霉防蛀片，干燥剂，鸡毛掸，胶带，胶水包装，酒精棉，空调滤芯，口罩，毛巾，奶茶杯，破碎陶瓷，湿纸巾，塑料袋，图钉，涂改带，卫生纸，牙签，牙刷，烟蒂，眼镜，眼镜布，验孕棒，一次性杯子，一次性棉签，竹筷，U型回形针，陶瓷。'."\n"
+                ."\n"
+                .'- 有害垃圾：'."\n"
+                .'灯，电池，电池板，胶水，纽扣电池，杀虫剂，温度计，蓄电池，血压计，药膏，药片，药品包装，药瓶，指甲油。'."\n"
+                ."\n"
+                .'## SDK参考'."\n"
+                .'阿里云视觉AI图像识别类目下的垃圾分类识别能力推荐使用SDK调用，支持多种编程语言，调用时请选择AI类目为图像识别（imagerecog）的SDK包，文件参数通过SDK调用可支持本地文件及任意URL，具体可参见[SDK总览](~~145033~~)。'."\n"
+                ."\n"
+                .'## 示例代码'."\n"
+                .'该能力常用语言的示例代码，请参见[垃圾分类识别示例代码](~~601145~~)。',
+            'extraInfo' => '## 错误码'."\n"
+                .'关于垃圾分类识别的错误码，详情请参见[常见错误码](~~145022~~)。'."\n"
+                ."\n"
+                .'## 安全声明'."\n"
+                .'- 请确保上传的图片或文件来源符合相应的法律法规。'."\n"
+                .'- 通过体验调试上传的临时文件有效期为1小时，在24小时后会被系统自动清理删除。',
+        ],
+        'DetectImageElements' => [
+            'methods' => [
+                'post',
+            ],
+            'schemes' => [
+                'http',
+                'https',
+            ],
+            'security' => [
+                [
+                    'AK' => [],
+                ],
+            ],
+            'operationType' => 'readAndWrite',
+            'deprecated' => false,
+            'systemTags' => [],
+            'parameters' => [
+                [
+                    'name' => 'Url',
+                    'in' => 'formData',
+                    'schema' => [
+                        'description' => '图像URL地址。推荐使用上海地域的OSS链接，对于文件在本地或者非上海地域OSS链接的情况，请参见[文件URL处理](~~155645~~)。',
+                        'type' => 'string',
+                        'required' => true,
+                        'example' => 'http://viapi-test.oss-cn-shanghai.aliyuncs.com/viapi-3.0domepic/imagerecog/DetectImageElements/DetectImageElements5.jpg',
+                        'isFileTransferUrl' => true,
+                    ],
+                ],
+            ],
+            'responses' => [
+                200 => [
+                    'schema' => [
+                        'type' => 'object',
+                        'properties' => [
+                            'RequestId' => [
+                                'description' => '请求ID。',
+                                'type' => 'string',
+                                'example' => '7EE82437-AEC4-5AAF-819F-AB28C23EE0FC',
+                            ],
+                            'Data' => [
+                                'description' => '返回的结果数据内容。',
+                                'type' => 'object',
+                                'properties' => [
+                                    'Elements' => [
+                                        'description' => '元素列表。',
+                                        'type' => 'array',
+                                        'items' => [
+                                            'type' => 'object',
+                                            'properties' => [
+                                                'Type' => [
+                                                    'description' => '元素类型。包括：'."\n"
+                                                        .'UnType（未定义类型）、AllType（所有类型）、RootType（根类型）、Synthesis（组合元素图）、Embedded（所有嵌套类型）、Format（元素格式）、MajorObject（主体）、Character（文案）、Identifier（标识）、Background（背景）、Decoration（修饰）、MajorHuman（人物模特）、MajorAuction（商品）、MajorThing（物体）、MajorOther（其他主体）、CharMain（主文案）、CharSub（副文案）、CharAction（行动点文案）、CharContent（内容文案）、CharNumber（数字文案）、CharOther（其他文案）、IdentLogo（logo标识）、IdentLight（高亮标识）、IdentCode（码标识）、IdentOther（其他标识）、BackBitmap（位图背景）、BackVector（矢量图背景）、BackOther（其他背景）、DecoTile（平铺修饰）、DecoRegion（区域修饰）、DecoPieces（碎片修饰）、DecoEdge（贴边修饰）、DecoLine（线性修饰）、DecoBox（框型修饰）、DecoChar（行动点文案修饰）、DecoOther（其他修饰）、SynthMajor（主体组团）、SynthChar（文案组团）、SynthIdent（标识组团）、SynthBack（背景组团）、SynthDeco（修饰组团）、SynthOther（其他组团）、EmbedSvg（svg嵌套格式）、EmbedJson（JSON嵌套格式）、EmbedHtml（html嵌套格式）。'."\n",
+                                                    'type' => 'string',
+                                                    'example' => 'majorhuman',
+                                                ],
+                                                'Width' => [
+                                                    'description' => '元素宽度。',
+                                                    'type' => 'integer',
+                                                    'format' => 'int32',
+                                                    'example' => '285',
+                                                ],
+                                                'Height' => [
+                                                    'description' => '元素高度。',
+                                                    'type' => 'integer',
+                                                    'format' => 'int32',
+                                                    'example' => '354',
+                                                ],
+                                                'Y' => [
+                                                    'description' => '元素左上角Y轴坐标。',
+                                                    'type' => 'integer',
+                                                    'format' => 'int32',
+                                                    'example' => '78',
+                                                ],
+                                                'Score' => [
+                                                    'description' => '置信度，取值范围`[0.0, 1.0]`。',
+                                                    'type' => 'number',
+                                                    'format' => 'float',
+                                                    'example' => '0.997097373008728',
+                                                ],
+                                                'X' => [
+                                                    'description' => '元素左上角X轴坐标。',
+                                                    'type' => 'integer',
+                                                    'format' => 'int32',
+                                                    'example' => '287',
+                                                ],
+                                            ],
+                                        ],
+                                    ],
+                                ],
+                            ],
+                        ],
+                    ],
+                ],
+            ],
+            'errorCodes' => [
+                400 => [
+                    [
+                        'errorCode' => 'ParameterError',
+                        'errorMessage' => 'The parameter is invalid. Please check again.',
+                    ],
+                ],
+                403 => [
+                    [
+                        'errorCode' => 'AuthFailed',
+                        'errorMessage' => 'An error occurred while performing authorization. Please check your RAM configuration.',
+                    ],
+                ],
+                408 => [
+                    [
+                        'errorCode' => 'Timeout',
+                        'errorMessage' => 'The request has timed out.',
+                    ],
+                ],
+                503 => [
+                    [
+                        'errorCode' => 'ServiceUnavailable',
+                        'errorMessage' => 'The service is unavailable.',
+                    ],
+                ],
+            ],
+            'responseDemo' => '[{"type":"json","example":"{\\n  \\"RequestId\\": \\"7EE82437-AEC4-5AAF-819F-AB28C23EE0FC\\",\\n  \\"Data\\": {\\n    \\"Elements\\": [\\n      {\\n        \\"Type\\": \\"majorhuman\\",\\n        \\"Width\\": 285,\\n        \\"Height\\": 354,\\n        \\"Y\\": 78,\\n        \\"Score\\": 0.997097373008728,\\n        \\"X\\": 287\\n      }\\n    ]\\n  }\\n}","errorExample":""},{"type":"xml","example":"<DetectImageElementsResponse>\\n    <RequestId>7EE82437-AEC4-5AAF-819F-AB28C23EE0FC</RequestId>\\n    <Data>\\n        <Elements>\\n            <Type>character</Type>\\n            <Score>0.999164342880249</Score>\\n            <X>490</X>\\n            <Y>215</Y>\\n            <Height>66</Height>\\n            <Width>380</Width>\\n        </Elements>\\n        <Elements>\\n            <Type>character</Type>\\n            <Score>0.998594701290131</Score>\\n            <X>531</X>\\n            <Y>302</Y>\\n            <Height>38</Height>\\n            <Width>308</Width>\\n        </Elements>\\n        <Elements>\\n            <Type>majorauction</Type>\\n            <Score>0.983854711055756</Score>\\n            <X>51</X>\\n            <Y>80</Y>\\n            <Height>392</Height>\\n            <Width>464</Width>\\n        </Elements>\\n        <Elements>\\n            <Type>decoration</Type>\\n            <Score>0.915460407733917</Score>\\n            <X>596</X>\\n            <Y>148</Y>\\n            <Height>50</Height>\\n            <Width>170</Width>\\n        </Elements>\\n        <Elements>\\n            <Type>decoration</Type>\\n            <Score>0.777607440948486</Score>\\n            <X>649</X>\\n            <Y>149</Y>\\n            <Height>45</Height>\\n            <Width>63</Width>\\n        </Elements>\\n        <Elements>\\n            <Type>character</Type>\\n            <Score>0.712217330932617</Score>\\n            <X>533</X>\\n            <Y>349</Y>\\n            <Height>20</Height>\\n            <Width>297</Width>\\n        </Elements>\\n        <Elements>\\n            <Type>character</Type>\\n            <Score>0.701746642589569</Score>\\n            <X>239</X>\\n            <Y>129</Y>\\n            <Height>36</Height>\\n            <Width>72</Width>\\n        </Elements>\\n        <Elements>\\n            <Type>decoration</Type>\\n            <Score>0.598963797092438</Score>\\n            <X>594</X>\\n            <Y>166</Y>\\n            <Height>30</Height>\\n            <Width>67</Width>\\n        </Elements>\\n        <Elements>\\n            <Type>decoration</Type>\\n            <Score>0.502112746238708</Score>\\n            <X>703</X>\\n            <Y>167</Y>\\n            <Height>29</Height>\\n            <Width>67</Width>\\n        </Elements>\\n    </Data>\\n</DetectImageElementsResponse>","errorExample":""}]',
+            'title' => '元素识别',
+            'summary' => '本文介绍元素识别DetectImageElements的语法及示例。',
+            'description' => '## 功能描述'."\n"
+                .'元素识别能力用于识别输入图像中所包含的元素内容，用矩形框标注出其位置，并区分其对应的基本类型（人物、修饰、文案）。'."\n"
+                ."\n"
+                .'- 输入原图 ：'."\n"
+                .'![](https://static-aliyun-doc.oss-cn-hangzhou.aliyuncs.com/file-manage-files/zh-CN/20221108/imxc/DetectImageElements.jpg" width="500)'."\n"
+                .'- 输出结果图 ：'."\n"
+                .'![](https://static-aliyun-doc.oss-cn-hangzhou.aliyuncs.com/file-manage-files/zh-CN/20221108/ospt/DetectImageElementsshuchu.png" width="500)'."\n"
+                ."\n"
+                .'> - 您可以进入[在线咨询](https://www.aliyun.com/core/online-consult?from=aZgW6LJHr2)获取在线人工帮助。'."\n"
+                .'- 当前能力可在视觉智能开放平台有完整的免费产品体验，您可以单击[立即试用](https://vision.aliyun.com/experience/detail?&tagName=imagerecog&children=DetectImageElements)对该能力进行更直观试用以及在线购买。'."\n"
+                .'- 阿里云视觉智能开放平台视觉AI能力API接入、接口使用或问题咨询等，请通过钉钉群（23109592）加入阿里云视觉智能开放平台咨询群联系我们。'."\n"
+                ."\n"
+                .'## 接入指引'."\n"
+                .'1. 注册阿里云账号：打开[阿里云官网](https://www.aliyun.com)，在阿里云官网右上角，单击**立即注册**，按照操作提示完成账号注册。'."\n"
+                .'2. 开通能力：请确保您已开通[图像识别服务](https://vision.aliyun.com/imagerecog)，若未开通服务请[立即开通](https://common-buy.aliyun.com/?commodityCode=viapi_imagerecog_public_cn#/open)。'."\n"
+                .'3. 创建AccessKey：请确保您已[创建AccessKey](~~175144~~)，如果您使用的是子账号AccessKey，您需要给子账号赋予AliyunVIAPIFullAccess权限，具体操作，请参见[RAM授权](~~145025~~)。'."\n"
+                .'4. 在线调试（可选）：您可以通过[OpenAPI Explorer](https://next.api.aliyun.com/api/imagerecog/2019-09-30/DetectImageElements?lang=JAVA&sdkStyle=dara&params=%7B%22Url%22%3A%22http%3A%2F%2Fviapi-test.oss-cn-shanghai.aliyuncs.com%2Fviapi-3.0domepic%2Fimagerecog%2FDetectImageElements%2FDetectImageElements1.jpg%22%7D&tab=DEMO)在线调试能力，查看完整的调用示例代码及SDK依赖信息，也可以下载完整的工程。'."\n"
+                .'5. 开发接入步骤：'."\n"
+                .'- 在[SDK总览](~~145033~~)中选择您要接入使用的SDK语言。'."\n"
+                .'- 在对应语言的SDK文档中找到AI类目为图像识别（imagerecog）的SDK包进行安装。'."\n"
+                .'- 参考文档中提供的示例代码进行适当修改后调用。'."\n"
+                ."\n"
+                .'6. 示例代码：该能力常用语言的示例代码，请参见[元素识别示例代码](~~601121~~)。'."\n"
+                ."\n"
+                .'7. 客户端直接调用：该能力常用的客户端调用方式包括以下几种。'."\n"
+                .'- [Web前端直接调用](~~467779~~)'."\n"
+                .'- [小程序场景下直接调用](~~467780~~)'."\n"
+                .'- [Android端直接调用](~~467781~~)'."\n"
+                .'- [iOS端直接调用](~~467782~~)'."\n"
+                ."\n"
+                .'## 输入限制'."\n"
+                .'- 图像格式：JPG、JPEG、BMP、PNG。'."\n"
+                .'- 图像大小：不超过3 MB。'."\n"
+                .'- 图像分辨率：不超过1280×1280像素。'."\n"
+                .'- URL地址中不能包含中文字符。'."\n"
+                ."\n"
+                .'## 计费说明'."\n"
+                .'元素识别能力目前处于公测期，可免费调用。',
+            'requestParamsDescription' => ' ',
+            'responseParamsDescription' => '## SDK参考'."\n"
+                .'阿里云视觉AI图像识别类目下的元素识别能力推荐使用SDK调用，支持多种编程语言，调用时请选择AI类目为图像识别（imagerecog）的SDK包，文件参数通过SDK调用可支持本地文件及任意URL，具体可参见[SDK总览](~~145033~~)。'."\n"
+                ."\n"
+                .'## 示例代码'."\n"
+                .'该能力常用语言的示例代码，请参见[元素识别示例代码](~~601121~~)。',
+            'extraInfo' => '## 错误码'."\n"
+                .'关于元素识别的错误码，详情请参见[常见错误码](~~145022~~)。'."\n"
+                ."\n"
+                .'## 安全声明'."\n"
+                .'- 请确保上传的图片或文件来源符合相应的法律法规。'."\n"
+                .'- 通过体验调试上传的临时文件有效期为1小时，在24小时后会被系统自动清理删除。',
+        ],
+        'RecognizeFood' => [
+            'summary' => '本文介绍菜品识别RecognizeFood的语法及示例。',
+            'methods' => [
+                'post',
+            ],
+            'schemes' => [
+                'http',
+                'https',
+            ],
+            'security' => [
+                [
+                    'AK' => [],
+                ],
+            ],
+            'deprecated' => false,
+            'systemTags' => [],
+            'parameters' => [
+                [
+                    'name' => 'ImageURL',
+                    'in' => 'formData',
+                    'schema' => [
+                        'title' => 'A short description of struct',
+                        'description' => '图像URL地址。推荐使用上海地域的OSS链接，对于文件在本地或者非上海地域OSS链接的情况，请参见[文件URL处理](~~155645~~)。',
+                        'type' => 'string',
+                        'required' => true,
+                        'example' => 'http://viapi-test.oss-cn-shanghai.aliyuncs.com/viapi-3.0domepic/imagerecog/RecognizeFood/RecognizeFood5.jpg',
+                        'isFileTransferUrl' => true,
+                    ],
+                ],
+            ],
+            'responses' => [
+                200 => [
+                    'schema' => [
+                        'title' => 'Schema of Response',
+                        'description' => 'Schema of Response',
+                        'type' => 'object',
+                        'properties' => [
+                            'RequestId' => [
+                                'title' => 'Id of the request',
+                                'description' => '请求ID。',
+                                'type' => 'string',
+                                'example' => '4C2369C5-54E0-4B9F-8ACB-80C4F50AD2DB',
+                            ],
+                            'Data' => [
+                                'description' => '返回的结果数据内容。',
+                                'type' => 'object',
+                                'properties' => [
+                                    'TopFives' => [
+                                        'description' => '识别出TOP5可能性高的类别，按照置信度从大到小排列。'."\n"
+                                            ."\n"
+                                            .'> 可能不足5个，最多显示5个。',
+                                        'type' => 'array',
+                                        'items' => [
+                                            'description' => '1',
+                                            'type' => 'object',
+                                            'properties' => [
+                                                'Category' => [
+                                                    'description' => '类别。',
+                                                    'type' => 'string',
+                                                    'example' => '清蒸鲈鱼',
+                                                ],
+                                                'Score' => [
+                                                    'description' => '识别菜品类别的置信度，取值范围为0~1。',
+                                                    'type' => 'number',
+                                                    'format' => 'float',
+                                                    'example' => '0.2083740234375',
+                                                ],
+                                                'Calorie' => [
+                                                    'description' => '每百克卡路里数值。例如被识别为三菌汤的数值为208，则表示每100克三菌汤卡路里为208大卡。'."\n"
+                                                        ."\n"
+                                                        .'> 由于有些菜品很少见，没有比较统一的卡路里数值，故标注`UNKNOWN`，表示未知。',
+                                                    'type' => 'string',
+                                                    'example' => '208',
+                                                ],
+                                            ],
+                                        ],
+                                    ],
+                                ],
+                            ],
+                        ],
+                    ],
+                ],
+            ],
+            'errorCodes' => [
+                400 => [
+                    [
+                        'errorCode' => 'ParameterError',
+                        'errorMessage' => 'The parameter is invalid. Please check again.',
+                    ],
+                ],
+                403 => [
+                    [
+                        'errorCode' => 'AuthFailed',
+                        'errorMessage' => 'An error occurred while performing authorization. Please check your RAM configuration.',
+                    ],
+                ],
+                408 => [
+                    [
+                        'errorCode' => 'Timeout',
+                        'errorMessage' => 'The request has timed out.',
+                    ],
+                ],
+                503 => [
+                    [
+                        'errorCode' => 'ServiceUnavailable',
+                        'errorMessage' => 'The service is unavailable.',
+                    ],
+                ],
+            ],
+            'responseDemo' => '[{"type":"json","example":"{\\n  \\"RequestId\\": \\"4C2369C5-54E0-4B9F-8ACB-80C4F50AD2DB\\",\\n  \\"Data\\": {\\n    \\"TopFives\\": [\\n      {\\n        \\"Category\\": \\"清蒸鲈鱼\\",\\n        \\"Score\\": 0.2083740234375,\\n        \\"Calorie\\": \\"208\\"\\n      }\\n    ]\\n  }\\n}","errorExample":""},{"type":"xml","example":"<RecognizeFoodResponse>\\n    <RequestId>B6F48953-92F4-5388-A000-0057D46B1658</RequestId>\\n    <Data>\\n        <TopFives>\\n            <Calorie>105</Calorie>\\n            <Score>0.56878662109375</Score>\\n            <Category>清蒸鲈鱼</Category>\\n        </TopFives>\\n        <TopFives>\\n            <Calorie>117</Calorie>\\n            <Score>0.0455322265625</Score>\\n            <Category>鳜鱼</Category>\\n        </TopFives>\\n        <TopFives>\\n            <Calorie>112</Calorie>\\n            <Score>0.039886474609375</Score>\\n            <Category>清蒸桂花鱼</Category>\\n        </TopFives>\\n        <TopFives>\\n            <Calorie>118</Calorie>\\n            <Score>0.0296173095703125</Score>\\n            <Category>沸腾鱼</Category>\\n        </TopFives>\\n        <TopFives>\\n            <Calorie>UNKNOWN</Calorie>\\n            <Score>0.0205230712890625</Score>\\n            <Category>其他类</Category>\\n        </TopFives>\\n    </Data>\\n</RecognizeFoodResponse>","errorExample":""}]',
+            'title' => '菜品识别',
+            'description' => '## 服务说明'."\n"
+                .'由于产品业务调整，菜品识别服务于 即日起停止新用户开通调用，历史开通过该服务的老用户可继续调用，2026年04月20日后该服务将下架，不再支持新老用户调用，请尽早寻找替代方案。如果对菜品识别 API 服务使用有疑问，可通过搜索钉钉群（23109592）加入阿里云视觉智能开放平台咨询群联系我们。'."\n"
+                ."\n\n"
+                .'## 功能描述'."\n"
+                .'菜品识别能力可以识别出图片中的菜品类别名称和热量。'."\n"
+                ."\n"
+                .'> - 您可以进入[在线咨询](https://www.aliyun.com/core/online-consult?from=aZgW6LJHr2)获取在线人工帮助。'."\n"
+                .'- 阿里云视觉智能开放平台视觉AI能力API接入、接口使用或问题咨询等，请通过钉钉群（23109592）加入阿里云视觉智能开放平台咨询群联系我们。'."\n"
+                ."\n"
+                .'## 应用场景'."\n"
+                ."\n"
+                .'- 减肥App：拍摄每天的饮食，计算菜品的热量，可协助您控制好热量摄入。'."\n"
+                .'- 运动管理App：通过识别菜品类别，计算累计摄入热量，给出每天的运动计划量。'."\n"
+                .'- 餐饮、菜场等自动收银结算：通过识别餐饮的类别，可提供自动结算服务。'."\n"
+                ."\n"
+                .'## 特色优势'."\n"
+                ."\n"
+                .'- 支持本地生活业务场景。已积累线上餐饮品类三万多种，图片上亿张，海量数据积累，模型沉淀较深厚。'."\n"
+                .'- 支持线下食堂、连锁快餐、烘焙等垂直解决方案。'."\n"
+                ."\n\n"
+                ."\n"
+                .'## 输入限制'."\n"
+                .'- 图像类型：JPEG、JPG、PNG、BMP。'."\n"
+                .'- 图像大小：小于10 MB。'."\n"
+                .'- 图像分辨率：大于等于100×100像素，小于等于4096×4096像素。'."\n"
+                .'- URL地址中不能包含中文字符。'."\n"
+                ."\n"
+                .'## 计费说明'."\n"
+                .'关于菜品识别的计费方式及报价，请参见[计费介绍](~~202481~~)。'."\n"
+                ."\n"
+                .'> 下方调试接口为付费接口，如需免费体验调试请前往[体验中心](https://vision.aliyun.com/experience/detail?&tagName=imagerecog&children=RecognizeFood)。',
+            'responseParamsDescription' => '## SDK参考'."\n"
+                .'阿里云视觉AI图像识别类目下的菜品识别能力推荐使用SDK调用，支持多种编程语言，调用时请选择AI类目为图像识别（imagerecog）的SDK包，文件参数通过SDK调用可支持本地文件及任意URL，具体可参见[SDK总览](~~145033~~)。'."\n"
+                ."\n"
+                .'## 示例代码'."\n"
+                .'该能力常用语言的示例代码，请参见[菜品识别示例代码](~~601126~~)。',
+            'extraInfo' => '## 错误码'."\n"
+                .'关于菜品识别的错误码，详情请参见[常见错误码](~~145022~~)。'."\n"
+                ."\n"
+                .'## 安全声明'."\n"
+                .'- 请确保上传的图片或文件来源符合相应的法律法规。'."\n"
+                .'- 通过体验调试上传的临时文件有效期为1小时，在24小时后会被系统自动清理删除。',
+        ],
+        'RecognizeImageColor' => [
+            'methods' => [
+                'post',
+            ],
+            'schemes' => [
+                'http',
+                'https',
+            ],
+            'security' => [
+                [
+                    'AK' => [],
+                ],
+            ],
+            'operationType' => 'readAndWrite',
+            'deprecated' => false,
+            'systemTags' => [],
+            'parameters' => [
+                [
+                    'name' => 'Url',
+                    'in' => 'formData',
+                    'schema' => [
+                        'description' => '图像URL地址。推荐使用上海地域的OSS链接，对于文件在本地或者非上海地域OSS链接的情况，请参见[文件URL处理](~~155645~~)。',
+                        'type' => 'string',
+                        'required' => true,
+                        'example' => 'http://viapi-test.oss-cn-shanghai.aliyuncs.com/viapi-3.0domepic/imagerecog/RecognizeImageColor/RecognizeImageColor1.jpg',
+                        'isFileTransferUrl' => true,
+                    ],
+                ],
+                [
+                    'name' => 'ColorCount',
+                    'in' => 'formData',
+                    'schema' => [
+                        'description' => '期望的色板输出数量。取值范围1~10，默认值为3。',
+                        'type' => 'integer',
+                        'format' => 'int32',
+                        'required' => false,
+                        'maximum' => '16',
+                        'minimum' => '1',
+                        'example' => '5',
+                        'pattern' => '^\\d+$',
+                        'default' => '3',
+                    ],
+                ],
+            ],
+            'responses' => [
+                200 => [
+                    'schema' => [
+                        'type' => 'object',
+                        'properties' => [
+                            'RequestId' => [
+                                'description' => '请求ID。',
+                                'type' => 'string',
+                                'example' => 'CCC7C1D9-8C0F-58AD-ADE3-C331B83BD6F2',
+                            ],
+                            'Data' => [
+                                'description' => '返回的结果数据内容。',
+                                'type' => 'object',
+                                'properties' => [
+                                    'ColorTemplateList' => [
+                                        'description' => '色板列表。',
+                                        'type' => 'array',
+                                        'items' => [
+                                            'type' => 'object',
+                                            'properties' => [
+                                                'Color' => [
+                                                    'description' => 'RGB颜色值（16进制），例如：291A18。',
+                                                    'type' => 'string',
+                                                    'example' => '270315',
+                                                ],
+                                                'Percentage' => [
+                                                    'description' => '当前颜色标签所占比例，取值范围`[0.0, 1.0]`。',
+                                                    'type' => 'number',
+                                                    'format' => 'float',
+                                                    'example' => '0.459527',
+                                                ],
+                                                'Label' => [
+                                                    'description' => '颜色标签，共11种：black（黑色）、white（白色）、gray（灰色）、red（红色）、orange（橙色）、yellow（黄色）、green（绿色）、cyan（青色）、blue（蓝色）、purple（紫色）、magenta（紫红色）。',
+                                                    'type' => 'string',
+                                                    'example' => 'red',
+                                                ],
+                                            ],
+                                        ],
+                                    ],
+                                ],
+                            ],
+                        ],
+                    ],
+                ],
+            ],
+            'errorCodes' => [
+                400 => [
+                    [
+                        'errorCode' => 'ParameterError',
+                        'errorMessage' => 'The parameter is invalid. Please check again.',
+                    ],
+                ],
+                403 => [
+                    [
+                        'errorCode' => 'AuthFailed',
+                        'errorMessage' => 'An error occurred while performing authorization. Please check your RAM configuration.',
+                    ],
+                ],
+                408 => [
+                    [
+                        'errorCode' => 'Timeout',
+                        'errorMessage' => 'The request has timed out.',
+                    ],
+                ],
+                503 => [
+                    [
+                        'errorCode' => 'ServiceUnavailable',
+                        'errorMessage' => 'The service is unavailable.',
+                    ],
+                ],
+            ],
+            'responseDemo' => '[{"type":"json","example":"{\\n  \\"RequestId\\": \\"CCC7C1D9-8C0F-58AD-ADE3-C331B83BD6F2\\",\\n  \\"Data\\": {\\n    \\"ColorTemplateList\\": [\\n      {\\n        \\"Color\\": \\"270315\\",\\n        \\"Percentage\\": 0.459527,\\n        \\"Label\\": \\"red\\"\\n      }\\n    ]\\n  }\\n}","errorExample":""},{"type":"xml","example":"<RecognizeImageColorResponse>\\n    <RequestId>CCC7C1D9-8C0F-58AD-ADE3-C331B83BD6F2</RequestId>\\n    <Data>\\n        <ColorTemplateList>\\n            <Percentage>0.459527</Percentage>\\n            <Color>270315</Color>\\n            <Label>red</Label>\\n        </ColorTemplateList>\\n        <ColorTemplateList>\\n            <Percentage>0.177192</Percentage>\\n            <Color>5A0014</Color>\\n            <Label>red</Label>\\n        </ColorTemplateList>\\n        <ColorTemplateList>\\n            <Percentage>0.169271</Percentage>\\n            <Color>F139CC</Color>\\n            <Label>magenta</Label>\\n        </ColorTemplateList>\\n        <ColorTemplateList>\\n            <Percentage>0.107205</Percentage>\\n            <Color>610492</Color>\\n            <Label>purple</Label>\\n        </ColorTemplateList>\\n        <ColorTemplateList>\\n            <Percentage>0.086806</Percentage>\\n            <Color>EC4886</Color>\\n            <Label>red</Label>\\n        </ColorTemplateList>\\n    </Data>\\n</RecognizeImageColorResponse>","errorExample":""}]',
+            'title' => '颜色识别',
+            'summary' => '本文档介绍颜色识别RecognizeImageColor的语法及示例。',
+            'description' => '## 功能描述'."\n"
+                .'颜色识别能力可以对输入图片的颜色信息进行分析，输出颜色值（RGB形式和HEX格式）与对应的占比信息。'."\n"
+                ."\n"
+                .'> - 您可以进入[在线咨询](https://www.aliyun.com/core/online-consult?from=aZgW6LJHr2)获取在线人工帮助。'."\n"
+                .'- 当前能力可在视觉智能开放平台有完整的免费产品体验，您可以单击[立即试用](https://vision.aliyun.com/experience/detail?&tagName=imagerecog&children=RecognizeImageColor)对该能力进行更直观试用以及在线购买。'."\n"
+                .'- 阿里云视觉智能开放平台视觉AI能力API接入、接口使用或问题咨询等，请通过钉钉群（23109592）加入阿里云视觉智能开放平台咨询群联系我们。'."\n"
+                ."\n"
+                .'## 接入指引'."\n"
+                .'1. 注册阿里云账号：打开[阿里云官网](https://www.aliyun.com)，在阿里云官网右上角，单击**立即注册**，按照操作提示完成账号注册。'."\n"
+                .'2. 开通能力：请确保您已开通[图像识别服务](https://vision.aliyun.com/imagerecog)，若未开通服务请[立即开通](https://common-buy.aliyun.com/?commodityCode=viapi_imagerecog_public_cn#/open)。'."\n"
+                .'3. 创建AccessKey：请确保您已[创建AccessKey](~~175144~~)，如果您使用的是子账号AccessKey，您需要给子账号赋予AliyunVIAPIFullAccess权限，具体操作，请参见[RAM授权](~~145025~~)。'."\n"
+                .'4. 在线调试（可选）：您可以通过[OpenAPI Explorer](https://next.api.aliyun.com/api/imagerecog/2019-09-30/RecognizeImageColor?lang=JAVA&sdkStyle=dara&params={%22Url%22:%22http%3A%2F%2Fviapi-test.oss-cn-shanghai.aliyuncs.com%2Fviapi-3.0domepic%2Fimagerecog%2FRecognizeImageColor%2FRecognizeImageColor1.jpg%22,%22ColorCount%22:3}&tab=DEBUG)在线调试能力，查看完整的调用示例代码及SDK依赖信息，也可以下载完整的工程。'."\n"
+                .'5. 开发接入步骤：'."\n"
+                .'- 在[SDK总览](~~145033~~)中选择您要接入使用的SDK语言。'."\n"
+                .'- 在对应语言的SDK文档中找到AI类目为图像识别（imagerecog）的SDK包进行安装。'."\n"
+                .'- 参考文档中提供的示例代码进行适当修改后调用。'."\n"
+                ."\n"
+                .'6. 示例代码：该能力常用语言的示例代码，请参见[颜色识别示例代码](~~478784~~)。'."\n"
+                ."\n"
+                .'7. 客户端直接调用：该能力常用的客户端调用方式包括以下几种。'."\n"
+                .'- [Web前端直接调用](~~467779~~)'."\n"
+                .'- [小程序场景下直接调用](~~467780~~)'."\n"
+                .'- [Android端直接调用](~~467781~~)'."\n"
+                .'- [iOS端直接调用](~~467782~~)'."\n"
+                ."\n"
+                .'## 输入限制'."\n"
+                .'- 图像格式：PNG、JPG、JPEG、BMP。'."\n"
+                .'- 图像大小：不超过9.5 MB。'."\n"
+                .'- 图像分辨率：小于2500×2500像素。'."\n"
+                .'- 图像都必须是RGB 3通道。'."\n"
+                ."\n"
+                .'- URL地址中不能包含中文字符。'."\n"
+                ."\n"
+                .'## 计费说明'."\n"
+                .'关于颜色识别的计费方式及报价，请参见[计费介绍](~~202481~~)。'."\n"
+                ."\n"
+                .'> 下方调试接口为付费接口，如需免费体验调试请前往[体验中心](https://vision.aliyun.com/experience/detail?&tagName=imagerecog&children=RecognizeImageColor)。'."\n"
+                ."\n",
+            'requestParamsDescription' => ' ',
+            'responseParamsDescription' => '## SDK参考'."\n"
+                .'阿里云视觉AI图像识别类目下的颜色识别能力推荐使用SDK调用，支持多种编程语言，调用时请选择AI类目为图像识别（imagerecog）的SDK包，文件参数通过SDK调用可支持本地文件及任意URL，具体可参见[SDK总览](~~145033~~)。'."\n"
+                ."\n"
+                .'## 示例代码'."\n"
+                .'该能力常用语言的示例代码，请参见[颜色识别示例代码](~~478784~~)。',
+            'extraInfo' => '## 错误码'."\n"
+                .'关于颜色识别的错误码，详情请参见[常见错误码](~~145022~~)。'."\n"
+                ."\n"
+                .'## 安全声明'."\n"
+                .'- 请确保上传的图片或文件来源符合相应的法律法规。'."\n"
+                .'- 通过体验调试上传的临时文件有效期为1小时，在24小时后会被系统自动清理删除。',
+        ],
+        'RecognizeImageStyle' => [
+            'methods' => [
+                'post',
+            ],
+            'schemes' => [
+                'http',
+                'https',
+            ],
+            'security' => [
+                [
+                    'AK' => [],
+                ],
+            ],
+            'operationType' => 'readAndWrite',
+            'deprecated' => false,
+            'systemTags' => [],
+            'parameters' => [
+                [
+                    'name' => 'Url',
+                    'in' => 'formData',
+                    'schema' => [
+                        'description' => '图像URL地址。推荐使用上海地域的OSS链接，对于文件在本地或者非上海地域OSS链接的情况，请参见[文件URL处理](~~155645~~)。',
+                        'type' => 'string',
+                        'required' => true,
+                        'example' => 'http://viapi-test.oss-cn-shanghai.aliyuncs.com/viapi-3.0domepic/imagerecog/RecognizeImageStyle/RecognizeImageStyle1.jpg',
+                        'isFileTransferUrl' => true,
+                    ],
+                ],
+            ],
+            'responses' => [
+                200 => [
+                    'schema' => [
+                        'type' => 'object',
+                        'properties' => [
+                            'RequestId' => [
+                                'description' => '请求ID。',
+                                'type' => 'string',
+                                'example' => '66FC3009-9A7A-4D29-8B70-D6EB256EF590',
+                            ],
+                            'Data' => [
+                                'description' => '返回的结果数据内容。',
+                                'type' => 'object',
+                                'properties' => [
+                                    'Styles' => [
+                                        'type' => 'array',
+                                        'items' => [
+                                            'description' => '识别出的风格列表。风格包括：chinese（中国风）、watercolor（水彩）、cartoon（卡通）、real（实景）、standard（标准）、simple（简洁）、lively（活泼）、colourful（多彩）、luxury（豪华）、technology（科技）、morbidezza（柔美）、strong（硬朗）、simpleelegant（素雅）、coolcold（高冷）、promotion（促销）、protrude（突出）。',
+                                            'type' => 'string',
+                                            'example' => 'technology',
+                                        ],
+                                    ],
+                                ],
+                            ],
+                        ],
+                    ],
+                ],
+            ],
+            'errorCodes' => [
+                400 => [
+                    [
+                        'errorCode' => 'ParameterError',
+                        'errorMessage' => 'The parameter is invalid. Please check again.',
+                    ],
+                ],
+                403 => [
+                    [
+                        'errorCode' => 'AuthFailed',
+                        'errorMessage' => 'An error occurred while performing authorization. Please check your RAM configuration.',
+                    ],
+                ],
+                408 => [
+                    [
+                        'errorCode' => 'Timeout',
+                        'errorMessage' => 'The request has timed out.',
+                    ],
+                ],
+                503 => [
+                    [
+                        'errorCode' => 'ServiceUnavailable',
+                        'errorMessage' => 'The service is unavailable.',
+                    ],
+                ],
+            ],
+            'responseDemo' => '[{"type":"json","example":"{\\n  \\"RequestId\\": \\"66FC3009-9A7A-4D29-8B70-D6EB256EF590\\",\\n  \\"Data\\": {\\n    \\"Styles\\": [\\n      \\"technology\\"\\n    ]\\n  }\\n}","errorExample":""},{"type":"xml","example":"<RecognizeImageStyleResponse>\\n    <RequestId>4F7BD051-ADBE-554C-893F-654FCA8535A1</RequestId>\\n    <Data>\\n        <Styles>promotion</Styles>\\n        <Styles>chinese</Styles>\\n    </Data>\\n</RecognizeImageStyleResponse>","errorExample":""}]',
+            'title' => '风格识别',
+            'summary' => '本文档介绍风格识别RecognizeImageStyle的语法及示例。',
+            'description' => '## 功能描述'."\n"
+                .'风格识别能力可以对输入图像的风格类型进行分析，识别可能的风格与语意标签。可以识别的风格包括：chinese（中国风）、watercolor（水彩）、cartoon（卡通）、real（实景）、standard（标准）、simple（简洁）、lively（活泼）、colourful（多彩）、luxury（豪华）、technology（科技）、morbidezza（柔美）、strong（硬朗）、simpleelegant（素雅）、coolcold（高冷）、promotion（促销）、protrude（突出）。'."\n"
+                .'关于该接口功能的示例图如下： '."\n"
+                .'视觉风格为中国风，语义风格为促销'."\n"
+                .'![](https://static-aliyun-doc.oss-cn-hangzhou.aliyuncs.com/file-manage-files/zh-CN/20221108/sqbq/RecognizeImageStyle.jpg" width="500)'."\n"
+                ."\n"
+                .'> - 您可以进入[在线咨询](https://www.aliyun.com/core/online-consult?from=aZgW6LJHr2)获取在线人工帮助。'."\n"
+                .'- 当前能力可在视觉智能开放平台有完整的免费产品体验，您可以单击[立即试用](https://vision.aliyun.com/experience/detail?&tagName=imagerecog&children=RecognizeImageStyle)对该能力进行更直观试用以及在线购买。'."\n"
+                .'- 阿里云视觉智能开放平台视觉AI能力API接入、接口使用或问题咨询等，请通过钉钉群（23109592）加入阿里云视觉智能开放平台咨询群联系我们。'."\n"
+                ."\n"
+                .'## 接入指引'."\n"
+                .'1. 注册阿里云账号：打开[阿里云官网](https://www.aliyun.com)，在阿里云官网右上角，单击**立即注册**，按照操作提示完成账号注册。'."\n"
+                .'2. 开通能力：请确保您已开通[图像识别服务](https://vision.aliyun.com/imagerecog)，若未开通服务请[立即开通](https://common-buy.aliyun.com/?commodityCode=viapi_imagerecog_public_cn#/open)。'."\n"
+                .'3. 创建AccessKey：请确保您已[创建AccessKey](~~175144~~)，如果您使用的是子账号AccessKey，您需要给子账号赋予AliyunVIAPIFullAccess权限，具体操作，请参见[RAM授权](~~145025~~)。'."\n"
+                .'4. 在线调试（可选）：您可以通过[OpenAPI Explorer](https://next.api.aliyun.com/api/imagerecog/2019-09-30/RecognizeImageStyle?lang=JAVA&sdkStyle=dara&params=%7B%22Url%22%3A%22http%3A%2F%2Fviapi-test.oss-cn-shanghai.aliyuncs.com%2Fviapi-3.0domepic%2Fimagerecog%2FRecognizeImageStyle%2FRecognizeImageStyle1.jpg%22%7D&tab=DEMO)在线调试能力，查看完整的调用示例代码及SDK依赖信息，也可以下载完整的工程。'."\n"
+                .'5. 开发接入步骤：'."\n"
+                .'- 在[SDK总览](~~145033~~)中选择您要接入使用的SDK语言。'."\n"
+                .'- 在对应语言的SDK文档中找到AI类目为图像识别（imagerecog）的SDK包进行安装。'."\n"
+                .'- 参考文档中提供的示例代码进行适当修改后调用。'."\n"
+                ."\n"
+                .'6. 客户端直接调用：该能力常用的客户端调用方式包括以下几种。'."\n"
+                .'- [Web前端直接调用](~~467779~~)'."\n"
+                .'- [小程序场景下直接调用](~~467780~~)'."\n"
+                .'- [Android端直接调用](~~467781~~)'."\n"
+                .'- [iOS端直接调用](~~467782~~)'."\n"
+                ."\n"
+                .'## 输入限制'."\n"
+                .'- 图像格式：PNG、JPG、JPEG、BMP、WEBP。'."\n"
+                .'- 图像大小：不超过9.5 MB。'."\n"
+                .'- 图像分辨率：小于3000×3000像素。'."\n"
+                .'- 图像都必须是RGB 3通道。'."\n"
+                .'- URL地址中不能包含中文字符。',
+            'requestParamsDescription' => ' ',
+            'responseParamsDescription' => '## SDK参考'."\n"
+                .'阿里云视觉AI图像识别类目下的风格识别能力推荐使用SDK调用，支持多种编程语言，调用时请选择AI类目为图像识别（imagerecog）的SDK包，文件参数通过SDK调用可支持本地文件及任意URL，具体可参见[SDK总览](~~145033~~)。',
+            'extraInfo' => '## 错误码'."\n"
+                .'关于风格识别的错误码，详情请参见[常见错误码](~~145022~~)。'."\n"
+                ."\n"
+                .'## 安全声明'."\n"
+                .'- 请确保上传的图片或文件来源符合相应的法律法规。'."\n"
+                .'- 通过体验调试上传的临时文件有效期为1小时，在24小时后会被系统自动清理删除。',
+        ],
+        'RecognizeScene' => [
+            'methods' => [
+                'post',
+            ],
+            'schemes' => [
+                'http',
+                'https',
+            ],
+            'security' => [
+                [
+                    'AK' => [],
+                ],
+            ],
+            'operationType' => 'read',
+            'deprecated' => false,
+            'systemTags' => [],
+            'parameters' => [
+                [
+                    'name' => 'ImageURL',
+                    'in' => 'formData',
+                    'schema' => [
+                        'description' => '图像URL地址。推荐使用上海地域的OSS链接，对于文件在本地或者非上海地域OSS链接的情况，请参见[文件URL处理](~~155645~~)。',
+                        'type' => 'string',
+                        'required' => true,
+                        'example' => 'http://viapi-test.oss-cn-shanghai.aliyuncs.com/viapi-3.0domepic/imagerecog/RecognizeScene/RecognizeScene1.jpg',
+                        'isFileTransferUrl' => true,
+                    ],
+                ],
+            ],
+            'responses' => [
+                200 => [
+                    'schema' => [
+                        'type' => 'object',
+                        'properties' => [
+                            'RequestId' => [
+                                'description' => '请求ID。',
+                                'type' => 'string',
+                                'example' => 'AC79F887-5CCB-42BE-8AC3-4D455EFEDB94',
+                            ],
+                            'Data' => [
+                                'description' => '返回的结果数据内容。',
+                                'type' => 'object',
+                                'properties' => [
+                                    'Tags' => [
+                                        'description' => '标签名称。最多输出5个标签名称，如果某个类别标签未输出，则对应的`confidence`为零。'."\n",
+                                        'type' => 'array',
+                                        'items' => [
+                                            'type' => 'object',
+                                            'properties' => [
+                                                'Value' => [
+                                                    'description' => '标签名称。',
+                                                    'type' => 'string',
+                                                    'example' => '船',
+                                                ],
+                                                'Confidence' => [
+                                                    'description' => '标签名称的置信度。取值范围0~100。',
+                                                    'type' => 'number',
+                                                    'format' => 'float',
+                                                    'example' => '79',
+                                                ],
+                                            ],
+                                        ],
+                                    ],
+                                ],
+                            ],
+                        ],
+                    ],
+                ],
+            ],
+            'errorCodes' => [
+                400 => [
+                    [
+                        'errorCode' => 'ParameterError',
+                        'errorMessage' => 'The parameter is invalid. Please check again.',
+                    ],
+                ],
+                403 => [
+                    [
+                        'errorCode' => 'AuthFailed',
+                        'errorMessage' => 'An error occurred while performing authorization. Please check your RAM configuration.',
+                    ],
+                ],
+                408 => [
+                    [
+                        'errorCode' => 'Timeout',
+                        'errorMessage' => 'The request has timed out.',
+                    ],
+                ],
+                503 => [
+                    [
+                        'errorCode' => 'ServiceUnavailable',
+                        'errorMessage' => 'The service is unavailable.',
+                    ],
+                ],
+            ],
+            'responseDemo' => '[{"type":"json","example":"{\\n  \\"RequestId\\": \\"AC79F887-5CCB-42BE-8AC3-4D455EFEDB94\\",\\n  \\"Data\\": {\\n    \\"Tags\\": [\\n      {\\n        \\"Value\\": \\"船\\",\\n        \\"Confidence\\": 79\\n      }\\n    ]\\n  }\\n}","errorExample":""},{"type":"xml","example":"<RecognizeSceneResponse>\\n    <RequestId>EA5E12C8-FFEB-5710-B4F4-A9A477DED671</RequestId>\\n    <Data>\\n        <Tags>\\n            <Confidence>83</Confidence>\\n            <Value>夜景</Value>\\n        </Tags>\\n        <Tags>\\n            <Confidence>31</Confidence>\\n            <Value>海滨</Value>\\n        </Tags>\\n        <Tags>\\n            <Confidence>13</Confidence>\\n            <Value>街景</Value>\\n        </Tags>\\n        <Tags>\\n            <Confidence>13</Confidence>\\n            <Value>广场</Value>\\n        </Tags>\\n        <Tags>\\n            <Confidence>12</Confidence>\\n            <Value>船</Value>\\n        </Tags>\\n    </Data>\\n</RecognizeSceneResponse>","errorExample":""}]',
+            'title' => '场景识别',
+            'summary' => '本文介绍场景识别RecognizeScene的语法及示例。',
+            'description' => '## 功能描述'."\n"
+                .'场景识别能力可以识别图像中的场景环境，支持数十种常见场景，包括：'."\n"
+                .'- 人物、动物、狗、猫、鱼、鸟、花、草地、蔬菜、植物、水果、餐厅、美食、聚餐、烧烤'."\n"
+                .'- 物品、手机、显示器'."\n"
+                .'- 室外、广场、建筑、游乐场、户外、公路、小河、山峰、夜景、天空、旅行、日出、日落、树林、沙滩、沙漠、海滨、湖、露营、街景、街道、运动、运动场、婚礼、演出'."\n"
+                .'- 地铁、汽车、火车、自行车、船、飞机'."\n"
+                .'- 其他'."\n"
+                ."\n"
+                .'> - 您可以进入[在线咨询](https://www.aliyun.com/core/online-consult?from=aZgW6LJHr2)获取在线人工帮助。'."\n"
+                .'- 当前能力可在视觉智能开放平台有完整的免费产品体验，您可以单击[立即试用](https://vision.aliyun.com/experience/detail?&tagName=imagerecog&children=RecognizeScene)对该能力进行更直观试用以及在线购买。'."\n"
+                .'- 阿里云视觉智能开放平台视觉AI能力API接入、接口使用或问题咨询等，请通过钉钉群（23109592）加入阿里云视觉智能开放平台咨询群联系我们。'."\n"
+                ."\n"
+                .'## 接入指引'."\n"
+                .'1. 注册阿里云账号：打开[阿里云官网](https://www.aliyun.com)，在阿里云官网右上角，单击**立即注册**，按照操作提示完成账号注册。'."\n"
+                .'2. 开通能力：请确保您已开通[图像识别服务](https://vision.aliyun.com/imagerecog)，若未开通服务请[立即开通](https://common-buy.aliyun.com/?commodityCode=viapi_imagerecog_public_cn#/open)。'."\n"
+                .'3. 创建AccessKey：请确保您已[创建AccessKey](~~175144~~)，如果您使用的是子账号AccessKey，您需要给子账号赋予AliyunVIAPIFullAccess权限，具体操作，请参见[RAM授权](~~145025~~)。'."\n"
+                .'4. 在线调试（可选）：您可以通过[OpenAPI Explorer](https://next.api.aliyun.com/api/imagerecog/2019-09-30/RecognizeScene?lang=JAVA&sdkStyle=dara&params=%7B%22ImageURL%22%3A%22http%3A%2F%2Fviapi-test.oss-cn-shanghai.aliyuncs.com%2Fviapi-3.0domepic%2Fimagerecog%2FRecognizeScene%2FRecognizeScene1.jpg%22%7D&tab=DEMO)在线调试能力，查看完整的调用示例代码及SDK依赖信息，也可以下载完整的工程。'."\n"
+                .'5. 开发接入：'."\n"
+                .'- 在[SDK总览](~~145033~~)中选择您要接入使用的SDK语言。'."\n"
+                .'- 在对应语言的SDK文档中找到AI类目为图像识别（imagerecog）的SDK包进行安装。'."\n"
+                .'- 参考文档中提供的示例代码进行适当修改后调用。'."\n"
+                ."\n"
+                .'6. 示例代码：该能力常用语言的示例代码，请参见[场景识别示例代码](~~601110~~)。'."\n"
+                ."\n"
+                .'7. 客户端直接调用：该能力常用的客户端调用方式包括以下几种。'."\n"
+                .'- [Web前端直接调用](~~467779~~)'."\n"
+                .'- [小程序场景下直接调用](~~467780~~)'."\n"
+                .'- [Android端直接调用](~~467781~~)'."\n"
+                .'- [iOS端直接调用](~~467782~~)'."\n"
+                ."\n"
+                .'## 输入限制'."\n"
+                .'- 图像格式：JPEG、JPG、PNG、BMP。'."\n"
+                .'- 图像大小：不超过3 MB。'."\n"
+                .'- 图像分辨率：大于5×5像素。'."\n"
+                .'- URL地址中不能包含中文字符。'."\n"
+                ."\n"
+                .'## 计费说明'."\n"
+                .'关于场景识别的计费方式及报价，请参见[计费介绍](~~202481~~)。'."\n"
+                ."\n"
+                .'> 下方调试接口为付费接口，如需免费体验调试请前往[体验中心](https://vision.aliyun.com/experience/detail?&tagName=imagerecog&children=RecognizeScene)。',
+            'requestParamsDescription' => ' ',
+            'responseParamsDescription' => '## SDK参考'."\n"
+                .'阿里云视觉AI图像识别（imagerecog）类目下的场景识别能力推荐使用SDK调用，支持多种编程语言，调用时请选择AI类目为图像识别（imagerecog）的SDK包，文件参数通过SDK调用可支持本地文件及任意URL，具体可参见[SDK总览](~~145033~~)。'."\n"
+                ."\n"
+                .'## 示例代码'."\n"
+                .'该能力常用语言的示例代码，请参见[场景识别示例代码](~~601110~~)。',
+            'extraInfo' => '## 错误码'."\n"
+                .'关于场景识别的错误码，详情请参见[常见错误码](~~145022~~)。'."\n"
+                ."\n"
+                .'## 安全声明'."\n"
+                .'- 请确保上传的图片或文件来源符合相应的法律法规。'."\n"
+                .'- 通过体验调试上传的临时文件有效期为1小时，在24小时后会被系统自动清理删除。',
+        ],
+        'TaggingAdImage' => [
+            'summary' => '本文介绍广告素材分析TaggingAdImage的语法及示例。',
+            'methods' => [
+                'post',
+            ],
+            'schemes' => [
+                'http',
+                'https',
+            ],
+            'security' => [
+                [
+                    'AK' => [],
+                ],
+            ],
+            'operationType' => 'read',
+            'deprecated' => false,
+            'systemTags' => [
+                'operationType' => 'none',
+                'riskType' => 'none',
+                'chargeType' => 'paid',
+                'tenantRelevance' => 'publicInformation',
+            ],
+            'parameters' => [
+                [
+                    'name' => 'ImageURL',
+                    'in' => 'formData',
+                    'schema' => [
+                        'description' => '图像URL地址。推荐使用上海地域的OSS链接，对于文件在本地或者非上海地域OSS链接的情况，请参见[文件URL处理](~~155645~~)。',
+                        'type' => 'string',
+                        'required' => true,
+                        'example' => 'https://viapi-demo.oss-cn-shanghai.aliyuncs.com/viapi-demo/images/DetectImageElements/xxxx.png',
+                        'isFileTransferUrl' => true,
+                    ],
+                ],
+            ],
+            'responses' => [
+                200 => [
+                    'schema' => [
+                        'title' => 'Schema of Response',
+                        'description' => 'Schema of Response',
+                        'type' => 'object',
+                        'properties' => [
+                            'RequestId' => [
+                                'title' => 'Id of the request',
+                                'description' => '请求ID。',
+                                'type' => 'string',
+                                'example' => '572974F0-1014-5C60-97EE-DBFFC0FF7616',
+                            ],
+                            'Data' => [
+                                'description' => '返回的结果数据内容。'."\n"
+                                    .'该数据需要在异步任务执行成功后，通过调用[GetAsyncJobResult](~~607824~~)接口，对其Result字段进行JSON反序列化之后得到。',
+                                'type' => 'object',
+                                'properties' => [
+                                    'TagInfo' => [
+                                        'description' => '标签。目前仅输出scene（场景）和human（人）。具体取值请参见下表“TagInfo字段参数说明”。',
+                                        'type' => 'object',
+                                    ],
+                                ],
+                            ],
+                            'Message' => [
+                                'description' => '提交异步任务后的提示信息。',
+                                'type' => 'string',
+                                'example' => '该调用为异步调用，任务已提交成功，请以requestId的值作为jobId参数调用同类目下GetAsyncJobResult接口查询任务执行状态和结果。',
+                            ],
+                        ],
+                    ],
+                ],
+            ],
+            'errorCodes' => [
+                400 => [
+                    [
+                        'errorCode' => 'ParameterError',
+                        'errorMessage' => 'The parameter is invalid. Please check again.',
+                    ],
+                ],
+                403 => [
+                    [
+                        'errorCode' => 'AuthFailed',
+                        'errorMessage' => 'An error occurred while performing authorization. Please check your RAM configuration.',
+                    ],
+                ],
+                408 => [
+                    [
+                        'errorCode' => 'Timeout',
+                        'errorMessage' => 'The request has timed out.',
+                    ],
+                ],
+                503 => [
+                    [
+                        'errorCode' => 'ServiceUnavailable',
+                        'errorMessage' => 'The service is unavailable.',
+                    ],
+                ],
+            ],
+            'responseDemo' => '[{"type":"json","example":"{\\n  \\"RequestId\\": \\"572974F0-1014-5C60-97EE-DBFFC0FF7616\\",\\n  \\"Data\\": {\\n    \\"TagInfo\\": {\\n      \\"test\\": \\"test\\",\\n      \\"test2\\": 1\\n    }\\n  },\\n  \\"Message\\": \\"该调用为异步调用，任务已提交成功，请以requestId的值作为jobId参数调用同类目下GetAsyncJobResult接口查询任务执行状态和结果。\\"\\n}","errorExample":""},{"type":"xml","example":"<TaggingAdImageResponse>\\n    <RequestId>572974F0-1014-5C60-97EE-DBFFC0FF7616</RequestId>\\n    <Message>该调用为异步调用，任务已提交成功，请以requestId的值作为jobId参数调用同类目下GetAsyncJobResult接口查询任务执行状态和结果。</Message>\\n</TaggingAdImageResponse>","errorExample":""}]',
+            'title' => '广告素材分析',
+            'description' => '## 功能描述'."\n"
+                .'广告素材分析能力可以对素材图片中的人物（明星、素人、CG人物）、场景等打上标签信息，可支持数千个内容标签，覆盖范围广。'."\n"
+                ."\n"
+                .'> - 您可以进入[在线咨询](https://www.aliyun.com/core/online-consult?from=aZgW6LJHr2)获取在线人工帮助。'."\n"
+                .'- 阿里云视觉智能开放平台视觉AI能力API接入、接口使用或问题咨询等，请通过钉钉群（23109592）加入阿里云视觉智能开放平台咨询群联系我们。'."\n"
+                ."\n"
+                .'## 应用场景'."\n"
+                ."\n"
+                .'- 广告分析：对互联网广告内容及投放效果的数据进行分析，为用户投放和分析广告提供参考。'."\n"
+                .'- 精准投放：利用素材标签、用户画像实现广告内容的精准投放。'."\n"
+                .'- 素材检索：能够快速检索定位指定类型的素材。'."\n"
+                ."\n"
+                .'## 特色优势'."\n"
+                ."\n"
+                .'- 分析能力强：分析处理后对包含明星、素人、CG人物等复杂场景进行准确打标。'."\n"
+                .'- 精准打标：可将物体、人物相关标签同步返回，并精准标记标签位置。'."\n"
+                ."\n\n"
+                .'## 接入指引'."\n"
+                .'1. 注册阿里云账号：打开[阿里云官网](https://www.aliyun.com)，在阿里云官网右上角，单击**立即注册**，按照操作提示完成账号注册。'."\n"
+                .'2. 开通能力：请确保您已开通[图像识别服务](https://vision.aliyun.com/imagerecog)，若未开通服务请[立即开通](https://common-buy.aliyun.com/?commodityCode=viapi_imagerecog_public_cn#/open)。'."\n"
+                ."\n"
+                .'3. 创建AccessKey：请确保您已[创建AccessKey](~~175144~~)，如果您使用的是子账号AccessKey，您需要给子账号赋予AliyunVIAPIFullAccess权限，具体操作，请参见[RAM授权](~~145025~~)。'."\n"
+                .'4. 在线调试（可选）：您可以通过[OpenAPI Explorer](https://next.api.aliyun.com/api/imagerecog/2019-09-30/TaggingAdImage?lang=JAVA)在线调试能力，查看完整的调用示例代码及SDK依赖信息，也可以下载完整的工程。'."\n"
+                .'5. 开发接入步骤：'."\n"
+                .'- 在[SDK总览](~~145033~~)中选择您要接入使用的SDK语言。'."\n"
+                .'- 在对应语言的SDK文档中找到AI类目为图像识别（imagerecog）的SDK包进行安装。'."\n"
+                .'- 参考文档中提供的示例代码进行适当修改后调用。'."\n"
+                ."\n"
+                .'6. 示例代码：该能力常用语言的示例代码，请参见[广告素材分析示例代码](~~601117~~)，常用语言查询异步任务结果的示例代码，请参见[查询异步任务结果示例代码](~~607974~~)。'."\n"
+                ."\n"
+                .'7. 客户端直接调用：该能力常用的客户端调用方式包括以下几种。'."\n"
+                .'- [Web前端直接调用](~~467779~~)'."\n"
+                .'- [小程序场景下直接调用](~~467780~~)'."\n"
+                .'- [Android端直接调用](~~467781~~)'."\n"
+                .'- [iOS端直接调用](~~467782~~)'."\n"
+                ."\n"
+                .'## 输入限制'."\n"
+                ."\n"
+                .'- 图像格式：JPEG、JPG、PNG、BMP。'."\n"
+                .'- 图像大小：不超过3 MB。'."\n"
+                .'- 图像分辨率：大于5×5像素。'."\n"
+                .'- URL地址中不能包含中文字符。'."\n"
+                ."\n"
+                .'## 计费说明'."\n"
+                .'关于广告素材分析的计费方式及报价，请参见[计费介绍](~~202481~~)。'."\n"
+                ."\n"
+                .'> 下方调试接口为付费接口。'."\n"
+                ."\n"
+                .'## 调用步骤'."\n"
+                .'该能力为异步能力，需分两步进行调用。'."\n"
+                .'第一步调用TaggingAdImage接口提交任务，请求成功后，得到一个任务ID。'."\n"
+                .'第二步调用[GetAsyncJobResult](~~607824~~)接口查询结果，根据任务ID查询任务执行状态和结果。如果任务还在处理中，可稍等一段时间后再进行查询。当同一个任务还未处理完时，建议不要重复提交任务。',
+            'responseParamsDescription' => '## TagInfo字段参数说明'."\n"
+                ."\n"
+                .'| 字段                 | 类型   | 是否必须 | 示例值                      | 描述                                                         |'."\n"
+                .'| -------------------- | ------ | -------- | --------------------------- | ------------------------------------------------------------ |'."\n"
+                .'| Cloth_category       | string | 是       | modern                      | 如果为HumanInfo字段时，被识别的人物服饰标签。具体分类请参见下图“Category标签取值”。 如果为非HumanInfo字段时，可忽略此字段。 |'."\n"
+                .'| Cloth_category_score | float  | 是       | 0.8                         | 如果为HumanInfo字段时，人物服饰标签置信度。取值范围  [0,1.0]。 如果为非HumanInfo字段时，可忽略此字段。 |'."\n"
+                .'| Bbox                 | list   | 是       | [77,280,431,569]            | 表示视频中的元素出现的时间相对位置。                         |'."\n"
+                .'| Score                | float  | 是       | 0.9                         | 标签置信度。取值范围  [0,1.0]。                              |'."\n"
+                .'| Category             | string | 是       | human-real-celebrity-明星姓名 | 标签名称。具体分类请参见下图“Category标签取值”。             |'."\n"
+                ."\n"
+                .'## Category标签取值'."\n"
+                .'![Category标签取值](https://viapi-oss.oss-cn-shanghai.aliyuncs.com/doc/imagerecog/Image%201.png)'."\n"
+                ."\n"
+                .'## 查询结果'."\n"
+                .'该接口为异步接口，当前并未返回真实的请求结果，您需要通过返回的RequestId调用GetAsyncJobResult接口来获取该接口的真实请求结果。详情请参见[GetAsyncJobResult](~~607824~~)。'."\n"
+                ."\n"
+                .'## SDK参考'."\n"
+                .'阿里云视觉AI图像识别类目下的广告素材分析能力推荐使用SDK调用，支持多种编程语言，调用时请选择AI类目为图像识别（imagerecog）的SDK包，文件参数通过SDK调用可支持本地文件及任意URL，具体可参见[SDK总览](~~145033~~)。'."\n"
+                ."\n"
+                .'## 示例代码'."\n"
+                .'该能力常用语言的示例代码，请参见[广告素材分析示例代码](~~601117~~)，常用语言查询异步任务结果的示例代码，请参见[查询异步任务结果示例代码](~~607974~~)。',
+            'extraInfo' => '## 错误码'."\n"
+                .'关于广告素材分析的错误码，详情请参见[常见错误码](~~145022~~)。'."\n"
+                ."\n"
+                .'## 安全声明'."\n"
+                .'- 请确保上传的图片或文件来源符合相应的法律法规。'."\n"
+                .'- 通过体验调试上传的临时文件有效期为1小时，在24小时后会被系统自动清理删除。',
+        ],
+    ],
+    'endpoints' => [
+        [
+            'regionId' => 'cn-shanghai',
+            'endpoint' => 'imagerecog.cn-shanghai.aliyuncs.com',
+        ],
+    ],
+];