There are 9 repositories under objectdetection topic.
A paper list of object detection using deep learning.
This repository allows you to get started with a gui based training a State-of-the-art Deep Learning model with little to no configuration needed! NoCode training with TensorFlow has never been so easy.
This repository allows you to get started with training a state-of-the-art Deep Learning model with little to no configuration needed! You provide your labeled dataset or label your dataset using our BMW-LabelTool-Lite and you can start the training right away and monitor it in many different ways like TensorBoard or a custom REST API and GUI. NoCode training with YOLOv4 and YOLOV3 has never been so easy.
ncnn example: mask detection: anticonv face detection: retinaface&&mtcnn&¢erface, track: iou tracking, landmark: zqcnn, recognize: mobilefacenet classifier: mobilenet object detecter: mobilenetssd
C# Yolo Darknet Wrapper (real-time object detection)
State-of-the-art Single Shot MultiBox Detector in Pure TensorFlow, QQ Group: 758790869
Includes: Learning data augmentation strategies for object detection | GridMask data augmentation | Augmentation for small object detection in Numpy. Use RetinaNet with ResNet-18 to test these methods on VOC and KITTI.
alibaba MNN, mobilenet classifier, centerface detecter, ultraface detecter, pfld landmarker and zqlandmarker, mobilefacenet
Pytorch implementation of the 'Slim-neck by GSConv: A better design paradigm of detector architectures for autonomous vehicles'
An iOS application of Tensorflow Object Detection with different models: SSD with Mobilenet, SSD with InceptionV2, Faster-RCNN-resnet101
Light-Head RCNN and One Novel Object Detector
[repo not maintained] Check out https://diffgram.com if you want to build a visual intelligence
Code for several state-of-the-art papers in object detection and semantic segmentation.
:rocket: :star: The list of the most popular YOLO algorithms - awesome YOLO
(Oriented) PsRoIAlign Operation In Tensorflow C++ API
Historical OpenStreetMap Objects to Machine Learning Training Samples
A simple Web AI model deployment tool using JavaScript based on OpenCV.js and ONNXRuntime
Resource collections of object detection
A SOTA RON Detector in TensorFlow
TensorFlow and Pytorch practice codes with purity and simplicity.
Automatic Annotation tool for labelling images in bulk with their corresponding bounding box annotations.
Keras implementation of RetinaNet for object detection and visual relationship identification
YOLO Algorithm (Yolov2 model) trained on COCO Dataset for Object Detection
MrD Deeplearning Trainer Tool
Raspberry Pi Movidius Neural Compute Stick person detector installer
AI Talent Programme 2
Make it easy to train and deploy Object Detection(SSD) and Image Segmentation(Mask R-CNN) Model Using TensorFlow Object Detection API.
The following parameters have been analysed for a short badminton singles match video: 1. Player1 and Player 2 are detected with bounding boxes, 2. Recording and displaying the Start time and end time of the match, 3. Displaying the number of hits made by each player , 4. Displaying the number of out of the boundary hits (AWAYs) made by each player during the course of match, 5. Shuttlecock is detected in every frame of the video with a bounding box.
MobileNetV2 architecture combined with a dynamically generated Feature Pyramid Network
this repo attemps to reproduce DSOD: Learning Deeply Supervised Object Detectors from Scratch use gluon reimplementation
一个在网页端部署的基于新冠肺炎抗原检测试剂盒图像的结果检测器(A web-based result detector based on images of COVID-19 antigen detection kits)
This project related to road safety. We have to wear a helmet according to road safety rules when riding a motorcycle. Therefore, these rules are monitored by the police. Also, Due to the invention of high-quality cameras and the development of the state of art in AI, the surveillance system willing to use AI system to detect whether passengers are wearing helmets or not. In this category I have built a model, first, it can be able to detect the motorcycle, then it will find out who is riding the bike. Finally, it will determine whether the person is wearing a helmet or not. To that end, I trained the pre-trained model SSD-MobileNet-V1 to detect motorcycles and humans.