Labelbox · Rate Limits

Labelbox Rate Limits

Name: Labelbox Rate Limits
Creator: Labelbox
Keywords: Data Labeling, AI Training, Machine Learning, Annotation, Computer Vision, RLHF, Model Evaluation, Dataset Management, GraphQL, Python SDK

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.

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

0 Limits

Data LabelingAI TrainingMachine LearningAnnotationComputer VisionRLHFModel EvaluationDataset ManagementGraphQLPython SDK