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Welcome to the Ultralytics YOLO wiki! 🎯 Here, you'll find all the resources you need to get the most out of the YOLO object detection framework. From in-depth tutorials to seamless deployment guides, explore the powerful capabilities of YOLO for your computer vision needs. For full documentation, head to Ultralytics Docs.

Tutorials

Unlock YOLO's full potential with our step-by-step tutorials! Whether you're training a model, validating performance, or deploying it in real-world applications, we’ve got you covered. These guides will elevate your computer vision skills and help you leverage YOLO for superior results.

• Quickstart Guide: Get YOLO up and running in just a few easy steps.

• Operation Modes: Learn how to operate YOLO in various modes for different use cases.

  • Train: Train YOLO on custom datasets with precision.
  • Validate: Validate your trained model's accuracy and performance.
  • Predict: Detect objects and make predictions using YOLO.
  • Export: Export models to different formats for diverse environments.
  • Track: Track objects across video sequences.
  • Benchmark: Benchmark your YOLO model's performance across multiple formats.

• Tasks: Explore the range of tasks YOLO can tackle effortlessly.

  • Object Detection: Detect objects in images and videos with precision.
  • Instance Segmentation: Segment objects within images using advanced techniques.
  • Image Classification: Classify images with YOLO’s high-speed inference.
  • Pose Estimation: Estimate human poses and track movements accurately.
  • Oriented Bounding Boxes: Use Oriented Bounding Boxes for enhanced object localization.

Environments

Run YOLO seamlessly in any verified environment, fully equipped with dependencies like CUDA, CUDNN, Python, and PyTorch. YOLO's flexibility ensures compatibility with the latest technology stacks.

• Notebooks with free GPU:
• Google Cloud Deep Learning VM. See GCP Quickstart Guide
• Amazon Sagemaker. See Amazon Sagemaker Quickstart Guide
• Docker Image. See Docker Quickstart Guide

Status

If this badge is green, all Ultralytics CI tests are currently passing. CI tests verify correct operation of all YOLOv8 Modes and Tasks on macOS, Windows, and Ubuntu every 24 hours and on every commit.