YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite

Ultralytics YOLO11 🚀

OpenMMLab Detection Toolbox and Benchmark

We write your reusable computer vision tools. 💜

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

Label Studio is a multi-type data labeling and annotation tool with standardized output format

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/

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

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.

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

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

Single Shot MultiBox Detector in TensorFlow

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

A PyTorch implementation of the YOLO v3 object detection algorithm

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

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

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

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