Build your vision datasets on autopilot withAI agents
Approve each change at first. Once you trust your agent with a task, let it run. One undo reverts each step.
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- Annotate: you click two fields, and SAM2 outlines them on your computer. Then Claude outlines the other fields, the buildings and the buses, once you allow it.
- Review: you turn a box to line up with its car and lock it. Then ChatGPT checks the other cars and selects one more box that doesn't line up.
- Export: save to Labelme JSON, YOLO, YOLO-OBB or Pascal VOC, the format your model trains on.
The built-in models run offline on your computer. Your agent's model may run in the cloud.
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SAM3 -
SAM2
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EfficientSAM
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YOLO-World
Your AI agent works right in Labelme
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ChatGPT outlines every field in the aerial photo
create_shapes -
Claude selects the boxes that miss their car
select_shapes -
Claude Code deletes the duplicate labels
delete_shapes -
ChatGPT looks at the image you have open
get_image -
Claude reads every shape and label
get_state
Connect ChatGPT, Claude, Claude Code, Codex or Cursor from File › Connect AI Agent… in Labelme.
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Build image datasets faster with Labelme. Annotate, review, and export to train your AI models.
Free 3-day trial · One-time purchase from $79