Skill
Detectron2
Data Science, Analytics and AI/ML
Detectron2 is an open-source object detection and segmentation library built by Facebook AI Research (FAIR) on top of PyTorch, succeeding the original Detectron framework. It provides implementations of state-of-the-art computer vision models like Mask R-CNN, Faster R-CNN, and RetinaNet, used by researchers and engineers for tasks such as instance segmentation, keypoint detection, and panoptic segmentation. Its modular design makes it popular for both academic research and production computer vision pipelines.
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