Labelbox

Labelbox is an end-to-end data-centric AI platform designed to streamline the creation, management, and improvement of training data for machine learning models. It provides tools for labeling, organizing, and iterating on large-scale image, video, text, and sensor datasets, enabling teams to build high-quality datasets faster and more consistently. The platform is built to support both in-house teams and outsourced labeling operations, with robust collaboration and quality control capabilities.

Key features include a configurable labeling interface for multiple data modalities, including bounding boxes, polygons, segmentation masks, classification, text spans, and more. Labelbox offers ontology management to standardize label schemas, advanced quality assurance workflows with consensus, review, and benchmarking, and integrated model-assisted labeling to pre-label data using existing models. The platform also supports data curation, allowing users to search, filter, and prioritize samples based on metadata, embeddings, or model performance, and integrates with cloud storage providers and MLOps tools through APIs and SDKs.