There are 5 repositories under maskrcnn topic.
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
[ECCV 2020] Boundary-preserving Mask R-CNN
Detectron2 for Document Layout Analysis
AI to Combat Environmental Pollution - detecting plastic waste in the environment to combat environmental pollution and promote circular economy (Deep Learning, PyTorch)
YOLO V2 & V3 , YOLO Combined with RCNN and MaskRCNN
Automated parking occupancy detection
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
predicting more than 2 classes from publicly available image data, for annotation we are using VGG annotator latest version
Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow
Tools for extract figure, table, text, .. from a pdf document.
Implementation of Mask RCNN in PyTorch
📺 NeuralAtlases - A Pytorch implementation of the paper "Layered Neural Atlases for Consistent Video Editing" (https://arxiv.org/abs/2109.11418v1)
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
Object detection and instance segmentation on MaskRCNN with torchvision, albumentations, tensorboard and cocoapi. Supports custom coco datasets with positive/negative samples.
This app detects types of cars and counts cars using YOLOv3
maskrcnn implementation using chainer
Train torchvision's MaskRCNN model using the ConvNeXt architecture as the backbone network.
The number of types of physical documents being digitized is on the increase. Medical bills, bank documents and personal documents are examples of such documents. Objective of this repo is to implement and understand such use cases with an example of extracting text information from invoice receipts.
An excerpt from the Automated Security Imaging project where we implemented Mask-RCNN with an attention mechanism to classify prohibited objects during security scanning by using the GDXray and OPIXray datasets.
Research Project at NCT + published at CURAC 2021
An implementation of Mask R-CNN algorithm to perform automatic object detection, localization, classification and instance segmentation of immunoreactive tumor cells on Ki-67 stained glioma images.
Here a transfer learning solution for traffic light detection is presented. It uses Mask Region-Based Convolutional Neural Network as it base.