Discover the Best Open-Source Yolo Projects Sorted by Stars

YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite

OpenMMLab Detection Toolbox and Benchmark

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

NEW - YOLOv8 🚀 in PyTorch > ONNX > OpenVINO > CoreML > TFLite

Implementation of paper - YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors

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

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

Implementation of popular deep learning networks with TensorRT network definition API

yolo3+ocr

A collection of SOTA real-time, multi-object tracking algorithms for object detectors

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

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

PaddlePaddle End-to-End Development Toolkit（『飞桨』深度学习全流程开发工具）

We write your reusable computer vision tools. 💜

PyTorch ,ONNX and TensorRT implementation of YOLOv4

Single Shot MultiBox Detector in TensorFlow

🔥 TensorFlow Code for technical report: "YOLOv3: An Incremental Improvement"

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