Paid API service

Detect Workwear Object Detection

Use this visual AI API when the task needs detecting workwear, uniforms, or specified clothing classes. Send the schema keys exactly as listed (Clothes, ImageUrl, Labels); required parameters: ImageUrl.

Invocation

Service ID: workwear-detection
Method: POST
Endpoint: /api/tools/workwear-detection
Legacy Endpoint: /api/tools/aliyun-objectdet-detect-workwear
MCP Tool: workwear_detection
Price: USD 0.20

Payment

Call the endpoint without payment to receive HTTP 402 metadata. After payment is complete, retry with X-Payment-Token, an x402 payment signature, or MCP paymentToken.

Create a payment with POST /api/payments using serviceId="workwear-detection", then pass the returned token in X-Payment-Token or MCP paymentToken.

Schema And Examples

{
  "exampleRequest": {
    "ImageUrl": "https://example.com/image.jpg"
  },
  "exampleResponse": {
    "code": "200",
    "content": "",
    "data": {
      "Action": "DetectWorkwear",
      "Result": "example result from Alibaba Cloud objectdet"
    },
    "message": "success",
    "requestId": "example-request-id"
  },
  "inputSchema": {
    "description": "Use Alibaba Cloud RPC parameter names exactly, for example ImageURL, ImageUrl, Url, URL, JobId, or Tasks depending on the service.",
    "properties": {
      "Clothes": {
        "description": "Alibaba Cloud JSON array parameter. A JSON string is also accepted and forwarded as-is.",
        "type": "array"
      },
      "ImageUrl": {
        "description": "Public http or https image URL accepted by the Alibaba Cloud API.",
        "format": "uri",
        "type": "string"
      },
      "Labels": {
        "description": "Alibaba Cloud RPC parameter Labels.",
        "type": "string"
      }
    },
    "required": [
      "ImageUrl"
    ],
    "type": "object"
  },
  "outputSchema": {
    "properties": {
      "code": {
        "type": "string"
      },
      "content": {
        "type": "string"
      },
      "data": {
        "type": "object"
      },
      "message": {
        "type": "string"
      },
      "requestId": {
        "type": "string"
      }
    },
    "required": [
      "requestId",
      "data"
    ],
    "type": "object"
  }
}