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Glossary
DocumentaçãoCloud Object StorageAPI DocumentationData Processing APIsAI-Based Content RecognitionPet Recognition

Pet Recognition

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Última atualização: 2026-01-09 22:13:47

Feature Description

Tencent Cloud Data Infinite identifies and outputs pets in the video image through the detect-pet API, and outputs their positions (rectangle frames) and confidence degrees.
Note:
This interface belongs to a GET request. It uses the synchronous request method and requires carrying a signature. For specific signature settings, please see Request Signature.

Authorization Description

When using with a sub-account, the ci:CreatePetDetectJob permission is required. For details, see Cloud Infinite action.

Activating a Service

Using this feature requires enabling Cloud Infinite in advance and binding a bucket. For details, see Bind Bucket.
Use this feature requires enabling AI Content Recognition service in advance via console or API. For details, see Enable AI Content Recognition Service.

Use Limits

When using this API, please first confirm the relevant restrictions. For details, see Usage Limits.

Fee Description

This API is a paid service. Generated costs will be charged by Cloud Infinite. For detailed billing instructions, see Content Recognition.


Request

Request Sample

GET /<ObjectKey>?ci-process=detect-pet HTTP/1.1
Host: <BucketName-APPID>.cos.<Region>.myqcloud.com
Date: <GMT Date>
Authorization: <Auth String>

Request Parameters

Parameter Name
Description
Type
Required or Not
ci-process
Cloud Infinite processing capability Pet recognition fixed as detect-pet
String
Yes

Request Headers

This API only uses common request headers.

Request Body

This request has no request body.

Response

Response Headers

This API only returns public response headers.

Response Body

The response body is returned as application/xml. An example including the complete node data is shown below:
<Response>
        <ResultInfo>
                <Score>64</Score>
                <Name>dog</Name>
                <Location>
                        <X>59</X>
                        <Y>51</Y>
                        <Height>225</Height>
                        <Width>175</Width>
                </Location>
        </ResultInfo>
        <ResultInfo>
                ...
        </ResultInfo>
</Response>
The data are as follows:
Node Name (Keyword)
Parent Node
Description
Type
Response
None.
Container to save results
Container
The content of Response
Node Name (Keyword)
Parent Node
Description
Type
ResultInfo
Response
Container to save results
Container
Score
ResultInfo
Score, ranging from 0 to 100. The higher the value, the more likely the target is to achieve the corresponding result.
int
Name
ResultInfo
Pet name
string
Location
ResultInfo
Container for saving pet locations
Container
X
Location
Coordinates on the X-axis
int
Y
Location
Coordinates on the y-axis
int
Height
Location
(x, y) coordinate distance height
int
Width
Location
(x, y) coordinate distance length
int

Error Code

Error Code
Description
HTTP Status Code
FailedOperation.NoObjectDetected
Target not detected.
400 Bad Request
InternalError
File download failed / Other unknown errors
400 Bad Request

Examples

Request

GET /test.jpg?ci-process=detect-pet HTTP/1.1
Authorization: q-sign-algorithm=sha1&q-ak=**********************************&q-sign-time=1497530202;1497610202&q-key-time=1497530202;1497610202&q-header-list=&q-url-param-list=&q-signature=************************************&x-cos-security-token=mUvZ3UZ4XbqDyK6iGsTFBQoHNO*
Host: examplebucket-1250000000.cos.ap-beijing.myqcloud.com

Response

HTTP/1.1 200 OK
Content-Type: application/xml
Content-Length: 359
Date: Mon, 26 Apr 2021 02:19:16 GMT
Server: tencent-image
x-ci-request-id: NjA4NjIzMjNfOTBmYTUwNjRfNjAx****

<Response>
        <ResultInfo>
                <Score>64</Score>
                <Name>dog</Name>
                <Location>
                        <X>59</X>
                        <Y>51</Y>
                        <Height>225</Height>
                        <Width>175</Width>
                </Location>
        </ResultInfo>
        <ResultInfo>
                <Score>62</Score>
                <Name>dog</Name>
                <Location>
                        <X>237</X>
                        <Y>60</Y>
                        <Height>208</Height>
                        <Width>177</Width>
                </Location>
        </ResultInfo>
</Response>

Anterior: Human RecognitionPróximo: Vehicle License Plate Recognition

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