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YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite

Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.

OpenMMLab Detection Toolbox and Benchmark

FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet.

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

The Modular Platform (includes MAX & Mojo)

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

全国各省市停贷通知汇总

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

Fast and flexible image augmentation library. Paper about the library: https://www.mdpi.com/2078-2489/11/2/125

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

cvpr2024/cvpr2023/cvpr2022/cvpr2021/cvpr2020/cvpr2019/cvpr2018/cvpr2017 论文/代码/解读/直播合集，极市团队整理

Semantic segmentation models with 500+ pretrained convolutional and transformer-based backbones.

PyTorch implementation of the U-Net for image semantic segmentation with high quality images

YOLOv3 in PyTorch > ONNX > CoreML > TFLite

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

Fast, modular reference implementation of Instance Segmentation and Object Detection algorithms in PyTorch.

OpenMMLab Semantic Segmentation Toolbox and Benchmark.

Easy-to-use image segmentation library with awesome pre-trained model zoo, supporting wide-range of practical tasks in Semantic Segmentation, Interactive Segmentation, Panoptic Segmentation, Image …

Pretrained ConvNets for pytorch: NASNet, ResNeXt, ResNet, InceptionV4, InceptionResnetV2, Xception, DPN, etc.

Real-Time and Accurate Full-Body Multi-Person Pose Estimation&Tracking System

A PyTorch implementation of EfficientNet

PULSE: Self-Supervised Photo Upsampling via Latent Space Exploration of Generative Models

BoxMOT: Pluggable SOTA multi-object tracking modules modules for segmentation, object detection and pose estimation models

Implementation of popular deep learning networks with TensorRT network definition API

Object detection, 3D detection, and pose estimation using center point detection:

Inpaint anything using Segment Anything and inpainting models.

A Keras implementation of YOLOv3 (Tensorflow backend)