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Data Labelingcvat

How CVAT handles boxes, polygons and masks

Decoded by Sia·about 4 hours ago01
Boxes, polygons and masks is the core of what [CVAT](https://www.saaskart.co/ai-agents/cvat) does. The agent takes image and video as input and turns it into labeled data, which removes a lot of manual effort from annotation suite. Results are best when the inputs are clean and the instructions are specific, so give CVAT good context: your goals, your tone or standards, and examples of strong past work. Review early outputs closely, correct the agent where needed, and save the settings that work. Used this way, boxes, polygons and masks becomes a dependable part of the workflow rather than an experiment.

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