OpenMMLab Text Detection, Recognition and Understanding Toolbox

Mask RCNN in TensorFlow

Out-of-the-box code and models for CMU's object detection and tracking system for multi-camera surveillance videos. Speed optimized Faster-RCNN model. Tensorflow based. Also supports EfficientDet. WACVW'20

Kaggle airbus ship detection challenge 21st solution

AI to Combat Environmental Pollution - detecting plastic waste in the environment to combat environmental pollution and promote circular economy (Deep Learning, PyTorch)

[ECCV 2020] Boundary-preserving Mask R-CNN

Automated parking occupancy detection

YOLO V2 & V3 , YOLO Combined with RCNN and MaskRCNN

Using modanet fashion dataset, the clothes images were classified under 5 season (summer,winter,spring,autumn,all).

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

Train your own custom MaskRCNN Object Detection and Instance Segmentation model.

It is modified tensorflow 2.x version of mask-rcnn.

Example notebooks on building PyTorch, preparing data and training as well as an updated project from a PyTorch MaskRCNN port

Mask R-CNN Demo -- vs2015

predicting more than 2 classes from publicly available image data, for annotation we are using VGG annotator latest version

📺 NeuralAtlases - A Pytorch implementation of the paper "Layered Neural Atlases for Consistent Video Editing" (https://arxiv.org/abs/2109.11418v1)

Tools for extract figure, table, text, .. from a pdf document.

Implementation of Mask RCNN in PyTorch

Official PyTorch implementaiton of the paper "3D Instance Segmentation Framework for Cerebral Microbleeds using 3D Multi-Resolution R-CNN."

Confusion matrix for Mask R-CNN (Matterport implementation)

Use VGG Image Annotator to label a custom dataset and train an instance segmentation model with Mask R-CNN implemented in Keras.

MaskRCNN + Tensorflow + Docker

This app detects types of cars and counts cars using YOLOv3

Object detection and instance segmentation on MaskRCNN with torchvision, albumentations, tensorboard and cocoapi. Supports custom coco datasets with positive/negative samples.

Train torchvision's MaskRCNN model using the ConvNeXt architecture as the backbone network.

maskrcnn implementation using chainer

[IJCNN'24] Official repository of "FashionFail: Addressing Failure Cases in Fashion Object Detection and Segmentation".

基于Tensorflow2实现Mask RCNN

This repo aims to offer a concise and faste script to complete the conversion from BGR masks to coco format.

Depth video data-enabled predictions of longitudinal dairy cow body weight using thresholding and Mask R-CNN algorithms