Image object detection

Developing

Docker Compose

http://localhost:8292

POST

/image/objectDetection

Object detection on image data.

In the response result, the top-level error code indicates whether the request was successful, such as invalid parameters. Regardless of whether each data is successfully processed, the error code on each data in the lower layer indicates whether the data is successfully processed.

Request

Body Params application/json

Example

{
    "datas": [
        {
            "id": 1,
            "url": "https://basicai-alidev-app-dataset.oss-cn-shanghai.aliyuncs.com/1651739094707-30022/case-padaset/3d_img1/01.jpg"
        }
    ]
}

Request Code Samples

Shell

JavaScript

Java

Swift

PHP

Python

HTTP

Objective-C

Ruby

OCaml

Dart

curl --location --request POST 'http://localhost:8292/image/objectDetection' \
--header 'Content-Type: application/json' \
--data-raw '{
    "datas": [
        {
            "id": 1,
            "url": "https://basicai-alidev-app-dataset.oss-cn-shanghai.aliyuncs.com/1651739094707-30022/case-padaset/3d_img1/01.jpg"
        }
    ]
}'

Responses

🟢200Successful

application/json

Body

Example

{
    "code": "OK",
    "message": "",
    "data": [
        {
            "id": 1,
            "code": "OK",
            "message": "",
            "objects": [
                {
                    "left": 0.924,
                    "right": 0.999,
                    "top": 0.3365650969529086,
                    "bottom": 0.7326869806094183,
                    "leftTopX": 1234,
                    "leftTopY": 200,
                    "rightBottomX": 1333,
                    "rightBottomY": 478,
                    "confidence": 0.52197265625,
                    "label": "car"
                }
            ],
            "confidence": 0.52197265625
        }
    ]
}

Modified at 2024-05-15 03:03:37

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