Top 785 object-detection open source projects

极速检测标注工具An efficient tool for objection detection annotation

YOLO ROS: Real-Time Object Detection for ROS

Port of Single Shot MultiBox Detector to Keras

A Mask R-CNN Keras implementation with Modanet annotations on the Paperdoll dataset

Code for 'RRPN: Radar Region Proposal Network for Object Detection in Autonomous Vehicles' (ICIP 2019)

How to train an object detection model with mmdetection

This is a pytorch repository of YOLOv4, attentive YOLOv4 and mobilenet YOLOv4 with PASCAL VOC and COCO

Official Repsoitory for "Mish: A Self Regularized Non-Monotonic Neural Activation Function" [BMVC 2020]

Wheat Detection challenge on Kaggle

The ROS Package of Mask R-CNN for Object Detection and Segmentation

Hierarchical Shot Detector (ICCV2019)

An image recognition/object detection model that detects handwritten digits and simple math operators. The output of the predicted objects (numbers & math operators) is then evaluated and solved.

MIVisionX toolkit is a comprehensive computer vision and machine intelligence libraries, utilities and applications bundled into a single toolkit.

Efficient Featurized Image Pyramid Network for Single Shot Detector, CVPR, 2019

High quality, fast, modular reference implementation of SSD in PyTorch

Using RetinaNet for object detection from drone images in Teknofest istanbul 2019 Artificial Intelligence Competition

Training & Quantization of embedded friendly Deep Learning / Machine Learning / Computer Vision models

A PyTorch Implementation of Knowledge Distillation on SSD

MobileNetV1, MobileNetV2, VGG based SSD/SSD-lite implementation in Pytorch 1.0 / Pytorch 0.4. Out-of-box support for retraining on Open Images dataset. ONNX and Caffe2 support. Experiment Ideas like CoordConv.

🎥 iOS11 demo application for dominant objects detection.

🚖 Object Detection (YOLOv1) implentation in tensorflow, with training, testing and video features.

A general 3D object detection codebse.

Data Annotation, Data Labeling, Annotation Tooling, Training Data for Machine Learning

Expose tensorflow-lite models via a rest API

Real-time Detectron using webcam.

Best Practices, code samples, and documentation for Computer Vision.

Serve machine learning models using tensorflow serving

This easy-to-use library splits images and its bounding box annotations into tiles, both into specific sizes and into any arbitrary number of equal parts. It can also resize them, both by specific sizes and by a resizing/scaling factor.

A collection of computer vision pre-trained models.

SOLO and SOLOv2 for instance segmentation, ECCV 2020 & NeurIPS 2020.

Detect traffic lights and classify the state of them, then give the commands "go" or "stop".

High level network definitions with pre-trained weights in TensorFlow

Use the Intel D435 real-sensing camera to realize target detection based on the Yolov3 framework under the Opencv DNN framework, and realize the 3D positioning of the Objection according to the depth information. Real-time display of the coordinates in the camera coordinate system.ADD--Using Yolov5 By TensorRT model,AGX-Xavier,RealTime Object Detection

Channel Pruning for Accelerating Very Deep Neural Networks (ICCV'17)

Fast image augmentation library and an easy-to-use wrapper around other libraries. Documentation: https://albumentations.ai/docs/ Paper about the library: https://www.mdpi.com/2078-2489/11/2/125

This repository contains easy SSD(Single Shot MultiBox Detector) implemented with Pytorch and is easy to read and learn

Run 3 scripts to (1) Synthesize images (by putting few template images onto backgrounds), (2) Train YOLOv3, and (3) Detect objects for: one image, images, video, webcam, or ROS topic.

Keras implementation of m2det object detection.

Object detection from images/point cloud using ROS

🚀 The TensorFlow Object Counting API is an open source framework built on top of TensorFlow and Keras that makes it easy to develop object counting systems!

Enabling Deep Residual Networks for Weakly Supervised Object Detection

A collection of sample apps to demonstrate how to use Google's ML Kit APIs on Android and iOS

GCNet: Non-local Networks Meet Squeeze-Excitation Networks and Beyond

Pepper Programs : Object Detection Real Time without ROS

This project aims to count every vehicle (motorcycle, bus, car, cycle, truck, train) detected in the input video using YOLOv3 object-detection algorithm.

OpenMMLab's next-generation platform for general 3D object detection.

Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks

Convert any classification model or architecture trained in keras to an object detection model

The code of our paper: 'Daedalus: Breaking Non-Maximum Suppression in Object Detection via Adversarial Examples', in Tensorflow.

PyTorch extensions for fast R&D prototyping and Kaggle farming

Python framework that facilitates the quick development of complex video analysis applications and other series-processing based applications in a multiprocessing environment.

Utilities to use tensorflow object detction api with a yolo like dataset

YOLOv3 in PyTorch > ONNX > CoreML > TFLite

Implementation of YOLO v3 object detector in Tensorflow (TF-Slim)

Caffe implementation of multiple popular object detection frameworks

A two stage multi-modal loss model along with rigid body transformations to regress 3D bounding boxes

This is a repo for training and implementing the mobilenet-ssd v2 to tflite with c++ on x86 and arm64

The Medical Detection Toolkit contains 2D + 3D implementations of prevalent object detectors such as Mask R-CNN, Retina Net, Retina U-Net, as well as a training and inference framework focused on dealing with medical images.

A PyTorch impl of EfficientDet faithful to the original Google impl w/ ported weights