Add ML backend

Add an ML backend to a project. For more information about what you need to configure when adding an ML backend, see Connect the model to Label studio.

If you are using Docker Compose, you may need to adjust your ML backend URL. See localhost and Docker containers.

If you are using files that are located in the cloud, local storage, or uploaded to Label Studio, you must configure your environment variables to allow the ML backend to interact with those files. See Allow the ML backend to access Label Studio.

1	curl -X POST http://localhost:8080/api/ml/ \
2	-H "Authorization: Token <api_key>" \
3	-H "Content-Type: application/json" \
4	-d '{}'

1	{
2	"url": "url",
3	"project": 1,
4	"is_interactive": true,
5	"title": "title",
6	"description": "description",
7	"auth_method": "NONE",
8	"basic_auth_user": "basic_auth_user",
9	"basic_auth_pass": "basic_auth_pass",
10	"extra_params": {
11	"extra_params": {
12	"key": "value"
13	}
14	},
15	"timeout": 1
16	}

Request

Response