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T-Rex Label
T-Rex Label uses visual models for image annotation, including bounding boxes and segmentation, and supports COCO and YOLO formats.
About T-Rex Label
T-Rex Label is a browser-based AI data annotation platform for image datasets. It uses visual models such as Grounding DINO, DINO-X and T-Rex for tasks including 2D bounding-box annotation and segmentation, and it supports COCO and YOLO dataset formats. The homepage describes built-in open-set detection models that require no additional training or fine-tuning, one-prompt batch annotation that applies a selected target to similar objects across images, and AI pre-annotation.
The site is in Chinese, lists integrations with Kaggle Datasets, Roboflow Universe, ModelScope, Hugging Face, Label Studio, FiftyOne, PyTorch, TensorFlow, Keras and Roboflow Train, and does not state pricing.
Key features
- Open-set visual models detect objects without fine-tuning or extra training
- Smart segmentation and bounding-box annotation for 2D image datasets
- One prompt can propagate to similar objects across other images
- AI pre-annotation and cross-image inference for batch labeling
- Imports and exports COCO and YOLO dataset formats
- Browser-based, no installation or deployment required
Best for: Computer vision engineers and annotation teams that need to label image datasets in a browser using open-set visual models and export to COCO or YOLO.
Good for
- Open-set detection models require no extra training or fine-tuning
- One visual prompt can be applied to similar objects across other images for batch annotation
- Runs in the browser with no installation or deployment
T-Rex Label at a glance
- Website
- trexlabel.com
- Type
- Online tool
- Pricing
- Not confirmed. Check the site
- Platforms
- Web
- Open source
- Not stated
- Language
- Chinese
- Last checked
- Oct 5, 2026 · Online when checked
- Listed
- Oct 5, 2026
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T-Rex Label FAQ
Which visual models does T-Rex Label support?
It supports Grounding DINO, DINO-X, T-Rex and other visual models.
What annotation formats can it import and export?
It is compatible with COCO and YOLO dataset annotation formats.
Does T-Rex Label require model fine-tuning?
The homepage says its built-in open-set detection models need no additional training or fine-tuning for one-click detection.
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