RectLabel is an offline image annotation tool for object detection and segmentation.
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Updated
May 26, 2024 - Python
RectLabel is an offline image annotation tool for object detection and segmentation.
[Pedestron] Generalizable Pedestrian Detection: The Elephant In The Room. @ CVPR2021
Detectron is Facebook AI Research’s (FAIR) software system that implements state-of-the-art object detection algorithms, including Mask R-CNN. It is written in Python and powered by the Caffe2 deep learning framework. Detectron model is meant to advance object detection by offering speedy training and addressing the issues companies face when ma…
Object detection using Facebook Detectron Mask R-CNN pre-trained model.
Chainer Implementation of Mask R-CNN. (Training code to reproduce the original result is available.)
Domain Adaptive Faster R-CNN in Detectron
The job interview for "Turk AI" company
Implements Adversarial Examples for Semantic Segmentation and Object Detection, using PyTorch and Detectron2
[ECCV 2020] Boundary-preserving Mask R-CNN
Epic Kitchens Object Detector and Feature Extractor using Faster-RCNN with Detectron2
Contains all the state-of-art detection techniques speciaqlly adapted to run in the browser and linked to all kinds of different data.
Code for ICCV2019 paper "InstaBoost: Boosting Instance Segmentation Via Probability Map Guided Copy-Pasting"
A pytorch implementation of Detectron. Both training from scratch and inferring directly from pretrained Detectron weights are available.
7th place solution for the 2018 Data Science Bowl with a score of 0.591
Detectron with VoVNet(CVPRW'19) backbone networks
Detectron with VoVNet : select the vovnet branch
Object detection
A PyTorch Detectron codebase for domain adaptation of object detectors.
Software to visualize detectron training stats
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