Popular GitHub Repositories for Yolo11

YOLOv5 ? in PyTorch > ONNX > CoreML > TFLite

Ultralytics YOLO11 ?

OpenMMLab Detection Toolbox and Benchmark

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

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

OpenVINO? is an open source toolkit for optimizing and deploying AI inference

This repository offers a comprehensive collection of tutorials on state-of-the-art computer vision models and techniques. Explore everything from foundational architectures like ResNet to cutting-edge models like YOLO11, RT-DETR, SAM 2, Florence-2, PaliGemma 2, and Qwen2.5VL.

BoxMOT: pluggable SOTA tracking modules for segmentation, object detection and pose estimation models

Go package for computer vision using OpenCV 4 and beyond. Includes support for DNN, CUDA, OpenCV Contrib, and OpenVINO.

Collection of models for Core ML

Effortless data labeling with AI support from Segment Anything and other awesome models.

YOLOv6: a single-stage object detection framework dedicated to industrial applications.

Code repo for realtime multi-person pose estimation in CVPR'17 (Oral)

Single Shot MultiBox Detector in TensorFlow

A PyTorch implementation of the YOLO v3 object detection algorithm

OpenMMLab YOLO series toolbox and benchmark. Implemented RTMDet, RTMDet-Rotated,YOLOv5, YOLOv6, YOLOv7, YOLOv8,YOLOX, PPYOLOE, etc.

???? (Earlier YOLOv7 not official one) YOLO with Transformers and Instance Segmentation, with TensorRT acceleration! ???

DAMO-YOLO: a fast and accurate object detection method with some new techs, including NAS backbones, efficient RepGFPN, ZeroHead, AlignedOTA, and distillation enhancement.

校招、秋招、春招、实习好项目！带你从零实现一个高性能的深度学习推理库，支持大模型 llama2 、Unet、Yolov5、Resnet等模型的推理。Implement a high-performance deep learning inference library step by step

mean Average Precision - This code evaluates the performance of your neural net for object recognition.