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A browser-based AI data annotation tool for dataset teams, offering model-assisted bounding boxes and masks, visual prompting, and COCO/YOLO export.
T-Rex Label is a browser-based data annotation platform for B2B teams that need to build computer vision training datasets across industries such as healthcare, automotive, robotics, agriculture, and logistics.
Key capabilities include:
Pricing: Undisclosed, contact for pricing.
What makes it notable is its focus on one-step, in-browser prompting paired with open-set, zero-shot style detection in T-Rex2, designed to recognize objects beyond the initial training set without retraining, which can reduce manual labeling effort on rare or long-tail classes.
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