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Ultralytics HUB

👋 Hello from the Ultralytics Team! We've been working hard these last few months to launch Ultralytics HUB, a new web tool for training and deploying all your YOLOv5 and YOLOv8 🚀 models from one spot!

We hope that the resources here will help you get the most out of HUB. Please browse the HUB Docs for details, raise an issue on GitHub for support, and join our Discord community for questions and discussions!


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Introduction

Ultralytics HUB is designed to be user-friendly and intuitive, allowing users to quickly upload their datasets and train new YOLO models. It also offers a range of pre-trained models to choose from, making it extremely easy for users to get started. Once a model is trained, it can be effortlessly previewed in the Ultralytics HUB App before being deployed for real-time classification, object detection, and instance segmentation tasks.


Watch: Train Your Custom YOLO Models In A Few Clicks with Ultralytics HUB

We hope that the resources here will help you get the most out of HUB. Please browse the HUB Docs for details, raise an issue on GitHub for support, and join our Discord community for questions and discussions!

  • Quickstart: Start training and deploying models in seconds.
  • Datasets: Learn how to prepare and upload your datasets.
  • Projects: Group your models into projects for improved organization.
  • Models: Train models and export them to various formats for deployment.
  • Pro: Level up your experience by becoming a Pro user.
  • Cloud Training: Understand how to train models using our Cloud Training solution.
  • Inference API: Understand how to use our Inference API.
  • Teams: Collaborate effortlessly with your team.
  • Integrations: Explore different integration options.
  • Ultralytics HUB App: Learn about the Ultralytics HUB App, which allows you to run models directly on your mobile device.
    • iOS: Explore CoreML acceleration on iPhones and iPads.
    • Android: Explore TFLite acceleration on Android devices.


Created 2023-11-12, Updated 2024-07-05
Authors: glenn-jocher (15), sergiuwaxmann (2)

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