Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow

YOLOv4 - Neural Networks for Object Detection (Windows and Linux version of Darknet )

OpenMMLab Detection Toolbox and Benchmark

A paper list of object detection using deep learning.

Deep Learning and Reinforcement Learning Library for Scientists and Engineers 🔥

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

Fast image augmentation library and easy to use wrapper around other libraries. Documentation: https://albumentations.ai/docs/

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

Translate darknet to tensorflow. Load trained weights, retrain/fine-tune using tensorflow, export constant graph def to mobile devices

YOLOv3 in PyTorch > ONNX > CoreML > iOS

cvpr2020/cvpr2019／cvpr2018/cvpr2017 papers，极市团队整理

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

Caffe: a fast open framework for deep learning.

Gluon CV Toolkit

Single Shot MultiBox Detector in TensorFlow

记录每天整理的计算机视觉/深度学习/机器学习相关方向的论文

A PyTorch Implementation of Single Shot MultiBox Detector

🔥🔥AidLearning build Linux environment running on the Android devices with GUI, Deep-Learning and Python Visual Programming support. Now support VSCode,Jupyter, pyToApk! One-click install.🚀

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

Tensorflow Faster RCNN for Object Detection

YOLOv5 in PyTorch > ONNX > CoreML > iOS

Hello AI World guide to deploying deep-learning inference networks and deep vision primitives with TensorRT and NVIDIA Jetson.

Google Brain AutoML

🔥 Pure tensorflow Implement of YOLOv3 with support to train your own dataset

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

A PyTorch implementation of the YOLO v3 object detection algorithm

CVPR 2020 论文开源项目合集

Simple and comprehensive tutorials in TensorFlow

A Simple and Versatile Framework for Object Detection and Instance Recognition

Most popular metrics used to evaluate object detection algorithms.