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About LabelOp

Built around the work of image labeling.

LabelOp is an independently operated project for people building computer vision datasets. It brings annotation, AI-assisted drafts, team review, version history, and export into one workspace.

What guides the product

AI drafts, human decisions

Model predictions are a starting point. Edit the annotations and record review decisions before using them in a dataset.

A choice of compute

Use supported models in your browser or managed cloud AI. Both feed into the same annotation and review workflow.

Traceable exports

Save annotation versions, compare changes, and export in the format your training pipeline needs.