Update labels
Update labels for a concept. Label requests containing coactive image ids or image paths already in use will overwrite existing labels. Label requests with an empty label value will delete an existing label for that image/keyframe identifier.
Path parameters
concept_id
The unique identifier for the concept
Headers
Authorization
Bearer authentication of the form Bearer <token>, where token is your auth token.
Request
This endpoint expects an object.
labels
Labels for the concept. A label with an empty label value will delete any existing labels associate with the provided image or keyframe
autosampledNumNegativeLabels
The number of negative labels to add
Response
The updated concept
createdUserId
The user that created the resource
createdDt
The created datetime of the resource
updatedUserId
The user that last updated the resource
updatedDt
The datetime the resource was last updated
name
The name of the concept
conceptId
The unique identifier for the concept
datasetId
The unique identifier for the dataset
description
A description for the concept
threshold
Threshold above which classification is positive
regularization
How strongly the model adapts to the training labels. Regularization strength. Lower value means the model fits more heavily to the training data