YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite

OpenMMLab Detection Toolbox and Benchmark

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

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

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/

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

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! 🔥🔥🔥

We write your reusable computer vision tools. 💜

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

YoloV3 Implemented in Tensorflow 2.0

Accompanying code for Paperspace tutorial series "How to Implement YOLO v3 Object Detector from Scratch"

Database system for building simpler and faster AI-powered applications

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