Detectron
Facebook AI Research's software system implementing state-of-the-art object detection algorithms like Mask R-CNN and RetinaNet.
What is Detectron?
Detectron is Facebook AI Research's software system that implements state-of-the-art object detection algorithms, including Mask R-CNN and RetinaNet. It provides a high-performance codebase specifically designed for object detection research, enabling researchers to rapidly implement and evaluate novel approaches. The platform has powered numerous influential research projects in computer vision.
Computer vision researchers and practitioners focused on object detection, instance segmentation, and related visual recognition tasks who need a flexible, high-performance research platform.
Researchers choose Detectron for its implementation of cutting-edge algorithms like Mask R-CNN, its research-focused design that supports rapid experimentation, and its backing by Facebook AI Research with a comprehensive model zoo of pre-trained baselines.
Overview
FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet.
Use Cases
Best For
- Implementing Mask R-CNN for instance segmentation tasks
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