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A deep learning algorithm for real-time object detection is proposed to automatically identify face-mask-wearing status in high-density crowds.

Pytorch Customdataset Fasterrcnn ⭐ 14

Pytorch based FasterRCNN for custom dataset

Tf Faster Rcnn ⭐ 14

Tensorflow 2 Faster-RCNN implementation from scratch supporting to the batch processing with MobileNetV2 and VGG16 backbones

Multi-modal Thermal Object Detector

Publications Tabelini Ijcnn 2019 ⭐ 12

Effortless Deep Training for Traffic Sign Detection Using Templates and Arbitrary Natural Images

Faster Rcnn Tensorflow ⭐ 12

TensorFlow implementation of Faster RCNN for Object Detection

Tinyobject ⭐ 12

对于小目标的检测和识别

Product_detection ⭐ 12

Working with scale: 2nd place solution to Product Detection in Densely Packed Scenes

Fasterrcnn_resnet50_fpn_v2_new_dataset ⭐ 11

How to Train Faster RCNN ResNet50 FPN V2 on Custom Dataset?

Coronary Artery Stenosis Detection ⭐ 11

Coronary artery stenosis detection using Faster RCNN

Conditionalglo ⭐ 11

Yi-Min Chou, Chien-Hung Chen, Keng-Hao Liu, and Chu-Song Chen, "Changing Background to Foreground: An Augmentation Method Based on Conditional Generative Network for Stingray Detection," IEEE International Conference on Image Processing, ICIP 2018, October 2018.

Faster Rcnn.supernova ⭐ 10

基于faster-rcnn.pytorch改进，超新星识别比赛code

Faster R Cnn Tensorflow Api Custom ⭐ 10

Faster R-CNN with Tensorflow Object Detection API for Custom Dataset.

Distillation Of Faster Rcnn ⭐ 9

Distillation for faster rcnn in classification,regression,feature level,feature level +mask

Deformable Convnets ⭐ 9

原始仓库Deformable-ConvNets代码注释

Faster Rcnn ⭐ 9

Fruit Detection In Orchards ⭐ 8

Fruit Detection and Counting Model research for Yield mapping and Robotic harvesting

F1 Racing Cars Tracking ⭐ 8

A Faster R-CNN based model for detection and tracking of F1 racing cars through transfer learning and histograms distance

Faster Rcnn Tracking ⭐ 8

Animeheaddetection ⭐ 7

Anime head detection using faster-rcnn-fpn

Detectron2 ⭐ 7

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 making the step from research to production.

Faster_rcnn_sku110 ⭐ 7

VoVNet, MobileNet, ShuffleNet, HarDNet backbone networks and SKU-110K dataset for detectron2

Lightheadrcnn ⭐ 6

pytorch-1.1 torchvision-0.3

Pneumonia Detection ⭐ 6

Kaggle RSNA Pneumonia Detection Challenge

Reproduce_frcnn ⭐ 5

Reproduce and Adjustment for frcnn

A Lightweight Gaussian-Based Model for Fast Detection and Classification of Moving Objects

Ros_faster_rcnn ⭐ 5

A ROS node using faster RCNN to perform image recognition

Corrosionapi ⭐ 5

Corrosion Detection Using Faster RCNN.

Faster_rcnn_tensorflow ⭐ 5

Simple implementation of faster rcnn by TensorFlow, containing 4 step training and easy to understand

Faster_rcnn_pytorch ⭐ 5

🌼 re-implementation of faster rcnn (NIPS2015)

Py Faster Rcnn ⭐ 5

py-faster-rcnn源码阅读笔记

Traffic Sign Detection Learning ⭐ 5

A Faster-RCNN Approach

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