OpenMMLab Detection Toolbox and Benchmark

Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow

This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows".

Object Detection toolkit based on PaddlePaddle. It supports object detection, instance segmentation, multiple object tracking and real-time multi-person keypoint detection.

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

This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows" on Object Detection and Instance Segmentation.

[ICLR'23 Spotlight🔥] The first successful BERT/MAE-style pretraining on any convolutional network; Pytorch impl. of "Designing BERT for Convolutional Networks: Sparse and Hierarchical Masked Modeling"

The Medical Detection Toolkit contains 2D + 3D implementations of prevalent object detectors such as Mask R-CNN, Retina Net, Retina U-Net, as well as a training and inference framework focused on dealing with medical images.

An Agnostic Computer Vision Framework - Pluggable to any Training Library: Fastai, Pytorch-Lightning with more to come

This is an official implementation for "Contextual Transformer Networks for Visual Recognition".

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

Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow 2.0

[ECCV 2020] Boundary-preserving Mask R-CNN

Mask R-CNN for object detection and instance segmentation on Pytorch

Detectron2 for Document Layout Analysis

ICDAR 2019: MaskRCNN on PubLayNet datasets. Paragraph detection, table detection, figure detection,...

Object detection with multi-level representations generated from deep high-resolution representation learning (HRNetV2h).

Scalable Instance Segmentation using PyTorch & PyTorch Lightning.

🛠 Mask R-CNN Keras to Tensorflow and TFX models + Serving models using TFX GRPC & RESTAPI

automatic tagging data, the training data prepare for mask-rcnn