Detectron2 is Facebook AI Research's next generation software system that implements state-of-the-art object detection algorithms. It is a ground-up rewrite of the previous version, Detectron, and it originates from maskrcnn-benchmark.
What's New
It is powered by the PyTorch deep learning framework.
Includes more features such as panoptic segmentation, densepose, Cascade R-CNN, rotated bounding boxes, etc.
Can be used as a library to support different projects on top of it. We'll open source more research projects in this way.
If you use Detectron2 in your research or wish to refer to the baseline results published in the Model Zoo, please use the following BibTeX entry.
@misc{wu2019detectron2, author = {Yuxin Wu and Alexander Kirillov and Francisco Massa and Wan-Yen Lo and Ross Girshick}, title = {Detectron2}, howpublished = {url{https://github.com/facebookresearch/detectron2}}, year = {2019}}