Labelbox · Rate Limits

Labelbox Rate Limits

Labelbox applies rate limits to both its GraphQL API and REST API to ensure platform stability. When a rate limit is exceeded the API returns an HTTP 429 status code with a Retry-After response header indicating how many seconds to wait before retrying. Labelbox strongly recommends using the official Python SDK (labelbox-python) rather than calling the GraphQL API directly, as the SDK handles retries and pagination automatically. GraphQL endpoints may be updated or deprecated without notice.

Labelbox Rate Limits is the machine-readable rate-limit profile for Labelbox on the APIs.io network, conforming to the API Commons Rate Limits specification.

It captures 2 rate-limit definitions.

Tagged areas include Data Labeling, AI Training, Machine-Learning, Annotation, and Computer-Vision.

2 Limits
Data LabelingAI TrainingMachine-LearningAnnotationComputer-VisionRLHFModel EvaluationDataset ManagementGraphQLPython SDK