Data Labeling
6 providers in this category.
Data labeling platforms produce the annotated training data behind machine-learning models: image, video, text, and document annotation, model-assisted pre-labeling, quality review, and often a managed human workforce. Pricing is predominantly quote-based, so exact figures are rare. Compare modality coverage, auto-labeling, managed workforce availability, open-source and self-hosting options, and free tier.
Companies
Neutral ordering. Not a recommendation.
Encord
encord.com
Encord is a data platform for computer-vision and multimodal AI covering annotation, data curation, and dataset indexing across images, video, audio, documents, DICOM medical imaging, and 3D point clouds.
HumanSignal
humansignal.com
HumanSignal (formerly Heartex) is the company behind Label Studio, the widely used open-source data-labeling tool supporting images, video, audio, text, and documents in one interface.
Labelbox
labelbox.com
Labelbox is a data-labeling platform for images, video, text, and documents: annotation tooling, model-assisted labeling, data curation via its Catalog, and an optional managed labeling workforce through its services arm.
Scale AI
scale.com
Scale AI provides training-data services and software: annotation of images, video, text, and sensor data through a managed human workforce combined with model-assisted pre-labeling, plus RLHF and evaluation data for generative models.
SuperAnnotate
www.superannotate.com
SuperAnnotate is an annotation platform for images, video, text, and LLM training data, combining annotation tooling and quality-management workflows with a marketplace of vetted labeling-service teams.
V7
www.v7labs.com
V7 is a vision-first AI data platform: its Darwin product handles image and video annotation with model-assisted auto-labeling, and V7 Go extends the platform to document and multimodal workflows.