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Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.

FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet.

A pytorch implementation of Detectron. Both training from scratch and inferring directly from pretrained Detectron weights are available.

Jupyter Notebook tutorials on solving real-world problems with Machine Learning & Deep Learning using PyTorch. Topics: Face detection with Detectron 2, Time Series anomaly detection with LSTM Autoencoders, Object Detection with YOLO v5, Build your first Neural Network, Time Series forecasting for... Read more

[Pedestron] Generalizable Pedestrian Detection: The Elephant In The Room. @ CVPR2021

Detectorch - detectron for PyTorch

RectLabel is an offline image annotation tool for object detection and segmentation.

Cascade R-CNN in Detectron

Code for ICCV2019 paper "InstaBoost: Boosting Instance Segmentation Via Probability Map Guided Copy-Pasting"

[CVPR 2020] VoVNet backbone networks for detectron2