AwsClassification : AWS图像识别

AwsClassification : AWS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!

您可以直接使用浏览器插件,免开发自动点击通过 点此查看

常规九宫格类型

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://cn.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

属性

类型

必须

说明

type

string

AwsClassification 8 POINTS

queries

string

Base64 编码的图片

question

string

问题 ID, 请直接从网页上获取,支持中英文

其他语言系统会自动翻译

请求示例

{ "clientKey": "cc9c18d3e263515c2c072b36a7125eecc078618f", "task": { "type": "AwsClassification", "queries": "data:image/jpeg;base64,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", "question": "选择全部 帽子" // 直接上传问题整句 } }

响应示例

{ "errorId": 0, "errorCode": "", "status": "ready", "solution": { "label": "Select All Hats", "objects": [ false, true, false, false, true, true, true, true, false ], "top_k": [ 1,4,5,6,7 ], "confidences": [ 0.0, 1.0, 0.0,0.255,1.0,1.0, 0.9637,0.9999,0.0 ] }, "taskId": "2053f690-3c3b-11f0-8ffb-d2c180657082" }

响应说明

参数

类型

说明

参数

类型

说明

errorId

Integer

错误提示: 0 - 没有错误,1 - 有错误

errorCode

string

错误代码 点这里查看全部错误列表

errorDescription

string

错误详细描述

status

String

processing - 正在识别中,请3秒后重试
ready - 识别完成,在solution参数中找到结果

solution

Object

识别结果,不同类型的任务结果会有所区别。

label

string

识别图片的标签

objects

List[Bool]

九宫格图片按3x3划分的9个位置,是否为对应的目标,如果是则为true,不是则为false

对true的位置进行点击

objects和top_k是一个意思,根据您的需要选择

top_k

List[Integer]

九宫格图片按3x3划分的9个位置,具体为正确目标的编号,答案从0开始计算

点击对应编号位置即可

objects和top_k是一个意思,根据您的需要选择

confidences

List[Float]

每个答案的置信度