Image object detection - BasicAI CE Open & Plugin API

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

datas

array [object {2}]

required

List of data to recognize

integer

required

url

string

required

Image download address

Example

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

Request samples

Shell

JavaScript

Java

Swift

PHP

Python

HTTP

Objective-C

Ruby

OCaml

Dart

Responses

🟢200Successful

application/json

Body

code

string

Error code

required

Error code. OK means success, the rest are failures

message

string

Error description

required

Error description. It can be empty

data

array [object {5}]

Data

required

Data

integer

required

Data ID

code

string

required

Error code (single data). OK means success, the rest means failure.

message

string

required

Error description. It can be empty.

objects

array[object (ImageObject) {10}]

required

A list of objects identified in the current data.

confidence

number

optional

Overall data confidence

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
    }
  ]
}