object-detection

YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite

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

OpenMMLab Detection Toolbox and Benchmark

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

deep learning for image processing including classification and object-detection etc.

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

A paper list of object detection using deep learning.

cvpr2022/cvpr2021/cvpr2020/cvpr2019/cvpr2018/cvpr2017 论文/代码/解读/直播合集，极市团队整理

CVPR 2022 论文和开源项目合集

This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows".

Object Detection toolkit based on PaddlePaddle. It supports object detection, instance segmentation, multiple object tracking and real-time multi-person keypoint detection.

YOLOv3 in PyTorch > ONNX > CoreML > TFLite

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

Annotate better with CVAT, the industry-leading data engine for machine learning. Used and trusted by teams at any scale, for data of any scale.

YOLOX is a high-performance anchor-free YOLO, exceeding yolov3~v5 with MegEngine, ONNX, TensorRT, ncnn, and OpenVINO supported. Documentation: https://yolox.readthedocs.io/

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

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

Deep Learning and Reinforcement Learning Library for Scientists and Engineers

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

Advanced AI Explainability for computer vision. Support for CNNs, Vision Transformers, Classification, Object detection, Segmentation, Image similarity and more.