yolo

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

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/

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

Real-time multi-object tracking and segmentation using YOLOv8

Single Shot MultiBox Detector in TensorFlow

A PyTorch implementation of the YOLO v3 object detection algorithm

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

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"

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

Scaled-YOLOv4: Scaling Cross Stage Partial Network

Multiple Object Tracker, Based on Hungarian algorithm + Kalman filter.

Jupyter Notebook tutorials on solving real-world problems with Machine Learning & Deep Learning using PyTorch. Topics: Face detection with Detectron 2, Time Series anomaly detection with LSTM Autoencoders, Object Detection with YOLO v5, Build your first Neural Network, Time Series forecasting for Coronavirus daily cases, Sentiment Analysis with …

implementation of paper - You Only Learn One Representation: Unified Network for Multiple Tasks (https://arxiv.org/abs/2105.04206)

YOLO ROS: Real-Time Object Detection for ROS