Image object detection

Docker Compose

http://localhost:8190/api

POST

/model/image/recognition

Request

Authorization

Provide your bearer token in the

Authorization

header when making requests to protected resources.

Example:

Authorization: Bearer ********************

Body Params application/json

dataId

integer

The data ID that needs to be predicted.

required

minConfidence

number

Min confidence

required

[0,1]

maxConfidence

number

Max confidence

required

[0,1]

classes

array[string]

Class list

required

["KNIFE","SPOON","BOWL","BANANA","APPLE","SANDWICH","ORANGE","BROCCOLI","CARROT","HOT_DOG","TRAFFIC_LIGHT","PIZZA","FIRE_HYDRANT","DONUT","STOP_SIGN","CAKE","PARKING_METER","CHAIR","BENCH","COUCH","BIRD","POTTED_PLANT","CAT","DOG","HORSE","SHEEP","PERSON","BICYCLE","CAR","MOTORCYCLE","AIRPLANE","BUS","TRAIN","TRUCK","BOAT","BED","DINING_TABLE","TOILET","TV","COW","LAPTOP","ELEPHANT","MOUSE","BEAR","REMOTE","ZEBRA","KEYBOARD","GIRAFFE","CELL_PHONE","BACKPACK","MICROWAVE","UMBRELLA","HANDBAG","TIE","SUITCASE","OVEN","TOASTER","SINK","REFRIGERATOR","FRISBEE","BOOK","SKIS","CLOCK","SNOWBOARD","VASE","SPORTS_BALL","SCISSORS","KITE","TEDDY_BEAR","BASEBALL_BAT","HAIR_DRIER","BASEBALL_GLOVE","SKATEBOARD","SURFBOARD","TENNIS_RACKET","TOOTHBRUSH","BOTTLE","WINE_GLASS","CUP","FORK"]

Example

{
  "dataId": 0,
  "minConfidence": 0,
  "maxConfidence": 0,
  "classes": [
    "string"
  ]
}

Request samples

Shell

JavaScript

Java

Swift

PHP

Python

HTTP

Objective-C

Ruby

OCaml

Dart

curl --location --request POST 'http://localhost:8190/api/model/image/recognition' \
--header 'Content-Type: application/json' \
--data-raw '{
    "dataId": 0,
    "minConfidence": 0,
    "maxConfidence": 0,
    "classes": [
        "string"
    ]
}'

Responses

🟢200Successful

application/json

Body

object {0}

Example

{}

Download dataset annotation results

Point cloud object detection