Top 785 object-detection open source projects

A photo OCR project aims to output DMS messages contained in sign structure images.

A Benchmark of Real-world Image Dataset for Federated Learning

Annotation tool for YOLO in opencv

ECCV 2020 论文开源项目合集，同时欢迎各位大佬提交issue，分享ECCV 2020开源项目

Deep Learning and Reinforcement Learning Library for Scientists and Engineers 🔥

a global localization system with object detection in semantic map

Data Augmentation For Object Detection

Experience, Learn and Code the latest breakthrough innovations with Microsoft AI

cvpr2021/cvpr2020/cvpr2019/cvpr2018/cvpr2017 论文/代码/解读/直播合集，极市团队整理

Awesome Object Detection based on handong1587 github: https://handong1587.github.io/deep_learning/2015/10/09/object-detection.html

📊 Benchmark multiple object trackers (MOT) in Python

MXNet port of SSD: Single Shot MultiBox Object Detector. Reimplementation of https://github.com/weiliu89/caffe/tree/ssd

动态语义SLAM 目标检测+VSLAM+光流/多视角几何动态物体检测+octomap地图+目标数据库

Open source face recognition on Raspberry Pi. SharpAI is open source stack for machine learning engineering with private deployment and AutoML for edge computing. DeepCamera is application of SharpAI designed for connecting computer vision model to surveillance camera. Developers can run same code on Raspberry Pi/Android/PC/AWS to boost your AI production development.

Code for 3D object detection for autonomous driving

Jupyter Notebook tutorials on solving real-world problems with Machine Learning & Deep Learning using PyTorch. Topics: Face detection with Detectron 2, Time Series anomaly detection with LSTM Autoencoders, Object Detection with YOLO v5, Build your first Neural Network, Time Series forecasting for Coronavirus daily cases, Sentiment Analysis with BERT.

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.

A python library built to empower developers to build applications and systems with self-contained Computer Vision capabilities

OpenCV-Python4.1 中文文档

A mobilenet SSD based face detector, powered by tensorflow object detection api, trained by WIDERFACE dataset.

Label images and video for Computer Vision applications

DSOD: Learning Deeply Supervised Object Detectors from Scratch. In ICCV 2017.

yolo(all versions) implementation in keras and tensorflow 2.4

The PyTorch Implementation based on YOLOv4 of the paper: "Complex-YOLO: Real-time 3D Object Detection on Point Clouds"

Precise RoI Pooling with coordinate gradient support, proposed in the paper "Acquisition of Localization Confidence for Accurate Object Detection" (https://arxiv.org/abs/1807.11590).

FreeAnchor: Learning to Match Anchors for Visual Object Detection (NeurIPS 2019)

TensorFlow implementation for SmoothGrad, Grad-CAM, Guided backprop, Integrated Gradients and other saliency techniques

CenterMask : Real-Time Anchor-Free Instance Segmentation, in CVPR 2020

Neural Nets for Nudity Detection and Censoring

Fast and accurate object detection with end-to-end GPU optimization

Bounding Box Regression with Uncertainty for Accurate Object Detection (CVPR'19)

Gaussian YOLOv3: An Accurate and Fast Object Detector Using Localization Uncertainty for Autonomous Driving (ICCV, 2019)

TensorFlow models accelerated with NVIDIA TensorRT

Set of methods to ensemble boxes from different object detection models, including implementation of "Weighted boxes fusion (WBF)" method.

Real-time object detection on Android using the YOLO network with TensorFlow

Reproduce simple cv project including attention module, classification, object detection, segmentation, keypoint detection, tracking 😄 etc.

Real-time Anchor-Free Instance Segmentation, in CVPR 2020

This is a new web-based photo management application. Run it on your home server and it will let you find the right photo from your collection on any device. Smart filtering is made possible by object recognition, location awareness, color analysis and other ML algorithms.

Head Person Helmet Detection on Construction Sites，基于目标检测工地安全帽和禁入危险区域识别系统，🚀😆附 YOLOv5 训练自己的数据集超详细教程🚀😆2021.3新增可视化界面❗❗

Machine Learning tutorials with TensorFlow 2 and Keras in Python (Jupyter notebooks included) - (LSTMs, Hyperameter tuning, Data preprocessing, Bias-variance tradeoff, Anomaly Detection, Autoencoders, Time Series Forecasting, Object Detection, Sentiment Analysis, Intent Recognition with BERT)

Keras implementation of yolo v3 object detection.

🚘 "MORE THAN VEHICLE COUNTING!" This project provides prediction for speed, color and size of the vehicles with TensorFlow Object Counting API.

🏀🤖🏀 AI web app and API to analyze basketball shots and shooting pose.

Two-stage CenterNet

Full implementation of YOLOv3 in PyTorch

Detectorch - detectron for PyTorch

(Pretrained weights provided) EfficientDet: Scalable and Efficient Object Detection implementation by Signatrix GmbH

CV 论文笔记

I transfer the backend of yolov3 into Mobilenetv1，VGG16，ResNet101 and ResNeXt101

This repository provides train＆test code, dataset, det.&rec. annotation, evaluation script, annotation tool, and ranking.

mmdetection源码注释

🍅 Deploy NCNN on mobile phones. Support Android and iOS. 移动端NCNN部署，支持Android与iOS。

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.

Keras package for region-based convolutional neural networks (RCNNs)

Real-time people Multitracker using YOLO v2 and deep_sort with tensorflow

Random Erasing Data Augmentation. Experiments on CIFAR10, CIFAR100 and Fashion-MNIST

Gluon CV Toolkit

A Python wrapper on Darknet. Compatible with YOLO V3.

YoloV3/tiny-YoloV3+RaspberryPi3/Ubuntu LaptopPC+NCS/NCS2+USB Camera+Python+OpenVINO

The pytorch re-implement of the official efficientdet with SOTA performance in real time and pretrained weights.