HCaptchaClassification: Hcaptcha图像识别

此对象不会返回 RESPONSE, 只返回图像识别结果! 请无接入能力的用户避免使用!

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如果需要自行开发，可以参考教程：Hcaptcha图像识别接口教程（Python）

创建任务

通过 createTask方法创建识别任务

请求节点：国际节点 https://api.yescaptcha.com 国内节点 https://china.yescaptcha.com
请求地址： https://api.yescaptcha.com/createTask
请求格式：POST application/json

对象结构

属性	类型	必须	说明
type	string	是	HCaptchaClassification 10 点数新模型测试期间8折-截止至10月底
queries	list[string]	是	Base64 编码的图片，不要包含 "data:image/***;base64," 以列表形式拼合图片：[base64, base64,base64,……]
question	String	是	问题 ID, 请查表，支持中英文，其他语言请自行转换
coordinate	string	否	默认返回`[true/false]`结果，如果需要返回坐标，如`[0, 3, 4, 6, 7]`，可以添加此参数

请求示例

{
    "clientKey": "cc9c18d3e263515c2c072b36a7125eecc078618f",
    "task": {
        "type": "HCaptchaClassification",
        "queries": [
        "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",
        "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",
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FJj/gI/wraj8cyQ4juIN4Pffj+S1SlTYWqRVh2j2F7pFs0dyqkknGGzgYH+FYGp6Rq9zqUksaRvExJHz4PUnua7m38TaZeABztJ7YY/096fLo9lqJE1tJtPc7SevPc1NWmqi0CEor4xFj4JCgjHJAqsfLeUjaRt74rQ2OUIUBfXHpVOa3xuIY7uv1rzpHSEcy4Lk59M9KuWzLKwYkDB4BrPa3k8sKq4pmyeDnccj3/wDr1KmwudEsAmYASlSOcBsCnqjbmbcGbjvmsSO9uLeLft3MeOWrThuHBC7Bke/WtE0wuEyk48y2HPGWSopfCumanDmSONHPdFUe/pWu8yyoI2jB96RIQrDY7Aehp21A4nUfhsqH/RmY8+vt7LWHc+Br+3UlEVwPQMT/AOg16zHcNFIUJ8zjkmnfaICcGMHnn/OKtNoTSPCZdI1CA5e3nUD/AGGH9KjR7iCTMke5fRlJr3prayuQA9pAR7xg/wBKzLvwhpd2TugEZPH7tUH9KtSJ5Tx5rpWAYJtP0xWJqdwwuEKlsc/yFeyXHw0sJCfLvJ0z/sqayb34URuN0d/Ix9DEv+NO6FY4dZAUH0qzp8sqahF5UrpnOQrEdjWtdeCNUs1YhS6LnByo/wDZvas3ToJrfW4YZ4gCd3cdgaEwsf/Z",
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Py3d3GE9I5T/VK17X4W6XEwMksr465ZT/ADSu7JYd6bg9SaAsYcHg7QrY5FlGxH96JD/7LWnHZWUGBDawp/uxgfyFTkijjHNIBVKIOBj6Cl84+pqJivpUfmgnFAiczE+/1pQ2eSMfSq4PNPDcUDsSjcT1oPHelGAKM5oEKBmlwB2pu/0PNG4DvQA/8KDx0pAwNG4ZpgKOO9ISKNwPTpTCwzgUAOOD3ppWjPqKcF4zSAiJIPA/SjbuPPSn856cUEgcYoAZ5YB9qXI9BQW7UigOTigBpcDsKQSZ9KcI17k0uxB0HNBR/9k=",
        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1INOgAwF/U/40wPNry0nublpUjADEnGQO5Nbnh20WyYvMPnPpg+v+Ndb/AGfH2H+fzp6WCKckf5/OkAxbOG4AwzDP+fSnjROcpJ+Z/wDrVdijVcYqyOBTArPKxGSxJ9SaiaU+pobgYqM81Qh/mn1P507ziB1/Wq+DRzQBYE5Pc/nSGU+p/Oq+SKCT60ATmY+p/OlExI61WzSBiDSAsmXmlD571AsijqKlV4T1JH+fpQMeRnml5A5FOURnpJ+lOMbOeMEUgIQM9qcV44qYwSKuSv6ioWOKAF+7RvPvTfMBpRk9KAP/2Q=="
    ],
        "question": "请单击每个包含卡车的图像。" // 直接上传问题整句
    }
}

响应示例

{
    "errorId": 0,
    "errorCode": "",
    "status": "ready",
    "solution": {
        "objects": [true, false, false, true, true, false, true, true] // 返回图片是否为目标,
        "labels": ["truck", "boat", "boat", "truck", "truck", "airplane-right", "truck", "truck"] // 返回图片对应的标签
    },
    "taskId": "5aa8be0c-94a5-11ec-80d7-00163f00a53c""
}

问题 ID的查找方式

获取红框部分的文字，直接传问题全文”请点击每张包含火车的图片。

ID 对照表

查询接口时，直接提交问题整句，如果遇到新的分类，请联系客服增加。

因为Hcaptcha更新太过频繁，所以文档不再列出所有分类，您只需要把网页上获取到的问题上传即可。

如果是全新的分类，我们将会在3个工作日内支持

如果是已经存的分类只是换了一种提问方式，我们会每天更新。

错误信息

errorCode	errorDescription	说明
ERROR_INTERNAL_SERVER_ERROR	服务器内部错误	请确保各项参数正确
ERROR_UNKNOWN_QUESTION	错误的问题ID	请检查问题ID是否正确
ERROR_PARSE_IMAGE_FAIL	解析图片失败	请确认图片BASE64编码是否正确

三选一类型

目前有一种全新的类型，一张图片选择最准确的图片描述

这种类型的处理方式与上面相同，传一张图片，问题直接传获取到的问题全文：“选择最准确的图片描述”

返回的结果里面会包含图片的标签

请求示例

{
    "clientKey": "cc9c18d3e263515c2c072b36a7125eecc078618f",
    "task": {
        "type": "HCaptchaClassification",
        "queries": [
        "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",
        "question": "选择最准确的图片描述" // 直接传问题整句
    }
}

响应示例

{
    "errorId": 0,
    "errorCode": "",
    "status": "ready",
    "solution": {
        "objects": [true] // 返回图片是否为目标,
        "labels": ["truck"] // 返回图片对应的标签
    },
    "taskId": "5aa8be0c-94a5-11ec-80d7-00163f00a53c""
}