Documentation

Welcome to the YOLO-Master documentation. Here you will find comprehensive guides, API references, and step-by-step tutorials to help you get the most out of the YOLO-Master framework — from quick installation to advanced deployment scenarios.

Documentation Categories

Quick Start

Get up and running in minutes

Tasks

Supported computer vision tasks

Models

Model architectures and configurations

Modes

Training, validation, inference and export

Guides

Step-by-step tutorials and best practices

Integrations

Export and deployment integrations

API Reference

Detailed documentation for all modules and utilities in the YOLO-Master codebase.

Tree

ultralytics/
├── nn/              # Neural network modules (MoE, Conv, Transformer)
├── engine/          # Trainer, Validator, Exporter, Predictor
├── data/            # Dataset loaders, augmentations, converters
├── models/          # Model definitions (YOLO, RT-DETR, SAM)
├── utils/           # Utilities (metrics, plotting, callbacks)
├── solutions/       # Ready-to-use solutions (analytics, counting)
└── cfg/             # YAML configuration files

Contributing

We welcome contributions from the community. Whether you want to report a bug, request a feature, or submit a pull request, your help is greatly appreciated.

View Contributing Guide

Report bugs, request features, or submit pull requests on GitHub.