- https://github.com/amusi/awesome-object-detection Awesome Object Detection
- https://github.com/caocuong0306/awesome-object-proposals awesome-object-proposals
- https://www.kaggle.com/c/airbus-ship-detection Airbus Ship Detection Challenge dataset
- https://github.com/murari023/awesome-aerial-object-detection#reviewsurvey-papers list of papers for object detection in aerial scenes and related application resources
- https://github.com/facebookresearch/Detectron FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet.
- https://github.com/Robert-JunWang/Pelee Pelee: A Real-Time Object Detection System on Mobile Devices. The code is based on the SSD framework.
- https://github.com/NVIDIA-AI-IOT/deepstream_reference_apps Samples for TensorRT/Deepstream for Tesla & Jetson
- https://github.com/NVIDIA-AI-IOT/tf_trt_models TensorFlow models accelerated with NVIDIA TensorRT
- https://github.com/Cloud-CV/object-proposals a library/API which can be used to generate bounding box/region proposals using a large number of the existing object proposal approaches
- https://github.com/tolga-b/BINGpp BING++: A Fast High Quality Object Proposal Generator at 100fps
- https://github.com/jponttuset/mcg Multiscale Combinatorial Grouping - Object Proposals and Segmentation
- https://github.com/MingMingCheng/SalBenchmark The Saliency Benchmark compare, qualitatively and quantitatively, 42 state-of-the-art models(30 salient object detection, 10 fixation prediction, 1 objectness, and 1 baseline) over 6 challenging datasets for the purpose of benchmarking salient object detection and segmentation methods.
- https://github.com/jimmie33/MBS Minimum Barrier Salient Object Detection
- https://github.com/yhenon/pyimgsaliency A python toolbox for computing image saliency
- https://github.com/Joker316701882/Salient-Object-Detection Implementation for cvpr2017 paper "Deeply Supervised Salient Object Detection with Short Connections"
- https://github.com/Andrew-Qibin/DSS code for "Deeply supervised salient object detection with short connections" published in CVPR 2017
- https://github.com/valhongli/SaliencyFilters Implementation of "Saliency Filters: Contrast Based Filtering for Salient Region Detection"
- https://github.com/lizhounaa/salient-region-detection-tip15 Matlab implementation of the paper "Salient Region Detection via Integrating Diffusion-Based Compactness and Local Contrast"
- https://github.com/tweedmorris/imagesignature Python/Numpy/Scipy translation of "Image Signature: Highlighting Sparse Salient Regions"
- https://github.com/kmyid/fastMCD Implementation of the paper "Detection of Moving Objects with Non-stationary Cameras in 5.8ms: Bringing Motion Detection to Your Mobile Device", CVPRW13
- https://github.com/madaiqian/ADAS-moving-object-detection Find out the moving object in dynamic background (especially while car driving) based on OpenCV and VS2013.
- https://github.com/dicengine/dice Digital Image Correlation Engine (DICe): a stereo DIC application that runs on a desktop or high performance computing platform (massively parallel)
- https://github.com/FranckLab/FIDIC Fast Iterative Digital Image Correlation Algorithm (FIDIC) is a 2D version of FIDVC algorithm to find dispalcements fields in a 2D image
- https://github.com/justinblaber/ncorr_2D_matlab 2D Digital Image Correlation Matlab Software
- https://github.com/TWANG006/TW Hybrid CPU and GPU real-time dynamic digital image correlation engine and application
- https://github.com/bickelmps/DIC_FFT_ETHZ Digital Image Correlation using a Fast Fourier Transform approach
- https://github.com/joostouwerling/dic Digital Image Correlation in Matlab
- https://github.com/candyguo/Least_square_matching Image match method by the LSM ,on matlab platform
- https://github.com/ShiqiYu/libfacedetection/tree/master/src An open source library for face detection in images. The face detection speed can reach 1500FPS.
- https://github.com/mystic123/tensorflow-yolo-v3 tensorflow-yolo-v3
- https://github.com/princeton-vl/CornerNet implementation of 'CornerNet: Detecting Objects as Paired Keypoints'
- https://github.com/makalo/CornerNet tensorflow implementation of cornernet
- https://github.com/xingyizhou/ExtremeNet Code for bottom-up object detection by grouping extreme and center points 'Bottom-up Object Detection by Grouping Extreme and Center Points'
- https://github.com/NVIDIA/retinanet-examples Fast and accurate object detection with end-to-end GPU optimization
- https://github.com/Adamdad/keras-YOLOv3-mobilenet transfer the backend of yolov3 into Mobilenetv1，VGG16，ResNet101 and ResNeXt101
- https://github.com/ChenYingpeng/caffe-yolov3 A real-time object detection framework of Yolov3 based on caffe
- https://github.com/PengyiZhang/SlimYOLOv3 SlimYOLOv3: Narrower, Faster and Better for UAV Real-Time Applications
- https://github.com/liux0614/yolo_nano Unofficial implementation of yolo nano
- https://github.com/AlexeyAB/darknet Darknet Yolo v3 & v2 Neural Networks for object detection (Tensor Cores are used) http://pjreddie.com/darknet/
- https://github.com/generalized-iou/g-darknet YoloV3 with GIoU loss implemented in Darknet
- https://github.com/Zzh-tju/DIoU-darknet YOLOv3 with DIoU and CIoU losses implemented in Darknet
- https://github.com/DataXujing/DIoU_YOLO_V3 D/CIoU_YOLO_V3 by darknet for object detection【口罩佩戴检测数据训练】
- https://github.com/Linzaer/Ultra-Light-Fast-Generic-Face-Detector-1MB/ 1MB lightweight face detection model
- https://github.com/sacmehta/EdgeNets source code of our work on designing efficient CNNs for computer vision including ESPNet, DiceNet
- https://github.com/aim-uofa/AdelaiDet AdelaiDet is an open source toolbox for multiple instance-level detection and recognition tasks
- https://github.com/ayooshkathuria/YOLO_v3_tutorial_from_scratch Accompanying code for Paperspace tutorial series "How to Implement YOLO v3 Object Detector from Scratch"
- https://github.com/nenadmarkus/pico Pixel Intensity Comparison-based Object detection
- https://github.com/Microsoft/VoTT/ Microsoft Visual Object Tagging Tool: An electron app for building end to end Object Detection Models from Images and Videos.
- https://github.com/wkentaro/labelme Image Polygonal Annotation with Python (polygon, rectangle, circle, line, point and image-level flag annotation).
- https://github.com/tzutalin/labelImg LabelImg is a graphical image annotation tool and label object bounding boxes in images
- https://github.com/AlexeyAB/Yolo_mark GUI for marking bounded boxes of objects in images for training neural network Yolo v3 and v2
- http://captain.whu.edu.cn/dotaweb/ DOTA: A Large-scale Dataset for Object DeTection in Aerial Images
- https://github.com/geometalab/OSMDeepOD OpenStreetMap (OSM) and Machine Learning (Deep Learning) based Object Detection from Aerial Imagery
- https://github.com/vyzboy92/Object-Detection-Net Vehicle Detection Faster RCNN for Aerial Images
- https://github.com/ringringyi/DOTA_YOLOv2 training DOTA using YOLOv2
- https://github.com/taegoobot/aerial-object-detector To develop a object detection system for aerial data
- https://github.com/SatyamGaba/real-time_object_detection_with_uavs Real-time object detection on an aerial video stream from a UAV using RetinaNet
- https://github.com/lbborkowski/wind-turbine-detector Wind Turbine Object Detection from Aerial Imagery Using TensorFlow Object Detection API and Google Colab
- https://github.com/acardoco/GeoLearning_Tensorflow Object Detection for aerial images with Tensorflow and Faster RCNN
- https://github.com/aniskoubaa/car_detection_yolo_faster_rcnn_uvsc2019 the dataset and link to the source used in the paper "Car Detection using Unmanned Aerial Vehicles: Comparison between Faster R-CNN and YOLOv3"
- https://github.com/sarthak268/Obstacle_Avoidance_for_Drone_Delivery implements a simple YOLO algorithm for detection of birds for drones to avoid collision during flight.
- https://github.com/TAMU-VITA/UAV-NDFT "Delving into Robust Object Detection from Unmanned Aerial Vehicles: A Deep Nuisance Disentanglement Approach"
- https://github.com/avanetten/simrdwn Rapid satellite imagery object detection
- ⭐ https://github.com/meiqua/shape_based_matching implementation of halcon shape based matching using linemod.
- https://github.com/wg-perception/linemod An OR pipeline based on LINE-MOD from OpenCV
- https://github.com/mikeroberts3000/SketchBasedShapeRetrieval C++/Python implementation of the shape matching pipeline in the paper Sketch-Based Shape Retrieval. (http://cybertron.cg.tu-berlin.de/eitz/projects/sbsr/)
- https://github.com/zcsd/ShapeMatching Shape/Digit Matching using Fourier Descriptor
- https://www2.eecs.berkeley.edu/Research/Projects/CS/vision/shape/sc_digits.html matching with shape context
- http://www.alecrivers.com/fastlsm/ FastLSM: Fast Lattice Shape Matching or Robust Real-Time Deformation
- https://github.com/zorah/KernelMatching Implementation of Efficient Deformable Shape Correspondence via Kernel Matching
- https://github.com/danielflower/MeshlessDeformations A C++ implementation of Meshless Deformations Based on Shape Matching
- https://github.com/amusi/awesome-lane-detection paper ande codes list of lane detection.
- https://github.com/galenballew/SDC-Lane-and-Vehicle-Detection-Tracking OpenCV in Python for lane line and vehicle detection/tracking in autonomous cars
- https://github.com/shawshany/Advance_LaneFinding Advance_LaneFinding in chinese
- https://github.com/georgesung/advanced_lane_detection Advanced lane detection using computer vision
- https://github.com/thtrieu/darkflow Translate darknet to tensorflow. Load trained weights, retrain/fine-tune using tensorflow, export constant graph def to mobile devices
- https://github.com/jinyu121/DW2TF Darknet Weights to TensorFlow
- https://github.com/albu/albumentations fast image augmentation library and easy to use wrapper around other libraries
- https://github.com/detectRecog/CCPD CCPD & PDRC: a diverse and well-annotated dataset for license plate detection and recognition
- https://github.com/openalpr/openalpr Automatic License Plate Recognition library
- https://github.com/zeusees/HyperLPR 基于深度学习高性能中文车牌识别 High Performance Chinese License Plate Recognition Framework.
- https://github.com/zhubenfu/License-Plate-Detect-Recognition-via-Deep-Neural-Networks-accuracy-up-to-99.9 works in real-time with detection and recognition accuracy up to 99.8% for Chinese license plates: 100 ms/plate