aim-uofa/AdelaiDet
A PyTorch-based open source toolbox for instance-level detection and recognition tasks including object detection, instance segmentation, and text detection.
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AdelaiDet provides implementations of multiple computer vision algorithms built on top of Detectron2. It includes models for object detection (FCOS), instance segmentation (BlendMask, CondInst, SOLO, SOLOv2, BoxInst), and text detection/recognition (ABCNet, ABCNetv2). The toolbox offers pre-trained model weights hosted on HuggingFace and benchmarks on standard datasets like COCO.
Frequently asked
- What is aim-uofa/AdelaiDet?
- A PyTorch-based open source toolbox for instance-level detection and recognition tasks including object detection, instance segmentation, and text detection.
- Is AdelaiDet open source?
- Yes — aim-uofa/AdelaiDet is an open-source project tracked on heatdrop.
- What language is AdelaiDet written in?
- aim-uofa/AdelaiDet is primarily written in Python.
- How popular is AdelaiDet?
- aim-uofa/AdelaiDet has 3.5k stars on GitHub.
- Where can I find AdelaiDet?
- aim-uofa/AdelaiDet is on GitHub at https://github.com/aim-uofa/AdelaiDet.