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126 lines
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description: Discover Ultralytics HUB, the all-in-one web tool for training and deploying YOLOv5 and YOLOv8 models. Get started quickly with pre-trained models and user-friendly features. |
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keywords: Ultralytics HUB, YOLO models, train YOLO, YOLOv5, YOLOv8, object detection, model deployment, machine learning, deep learning, AI tools, dataset upload, model training |
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# Ultralytics HUB |
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<div align="center"> |
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<a href="https://ultralytics.com/hub" target="_blank"><img width="100%" src="https://github.com/ultralytics/docs/releases/download/0/ultralytics-hub.avif"></a> |
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<a href="https://docs.ultralytics.com/zh/hub/">中文</a> | |
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<a href="https://docs.ultralytics.com/ko/hub/">한국어</a> | |
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<a href="https://docs.ultralytics.com/ja/hub/">日本語</a> | |
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<a href="https://docs.ultralytics.com/ru/hub/">Русский</a> | |
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<a href="https://docs.ultralytics.com/de/hub/">Deutsch</a> | |
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<a href="https://docs.ultralytics.com/fr/hub/">Français</a> | |
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<a href="https://docs.ultralytics.com/es/hub/">Español</a> | |
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<a href="https://docs.ultralytics.com/pt/hub/">Português</a> | |
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<a href="https://docs.ultralytics.com/tr/hub/">Türkçe</a> | |
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<a href="https://docs.ultralytics.com/ar/hub/">العربية</a> |
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<a href="https://github.com/ultralytics/hub/actions/workflows/ci.yaml"><img src="https://github.com/ultralytics/hub/actions/workflows/ci.yaml/badge.svg" alt="CI CPU"></a> <a href="https://colab.research.google.com/github/ultralytics/hub/blob/main/hub.ipynb"><img src="https://colab.research.google.com/assets/colab-badge.svg" alt="Open In Colab"></a> <a href="https://ultralytics.com/discord"><img alt="Discord" src="https://img.shields.io/discord/1089800235347353640?logo=discord&logoColor=white&label=Discord&color=blue"></a> <a href="https://community.ultralytics.com"><img alt="Ultralytics Forums" src="https://img.shields.io/discourse/users?server=https%3A%2F%2Fcommunity.ultralytics.com&logo=discourse&label=Forums&color=blue"></a> <a href="https://reddit.com/r/ultralytics"><img alt="Ultralytics Reddit" src="https://img.shields.io/reddit/subreddit-subscribers/ultralytics?style=flat&logo=reddit&logoColor=white&label=Reddit&color=blue"></a> |
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</div> |
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👋 Hello from the [Ultralytics](https://www.ultralytics.com/) Team! We've been working hard these last few months to launch [Ultralytics HUB](https://www.ultralytics.com/hub), a new web tool for training and deploying all your YOLOv5 and YOLOv8 🚀 models from one spot! |
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We hope that the resources here will help you get the most out of HUB. Please browse the HUB <a href="https://docs.ultralytics.com/">Docs</a> for details, raise an issue on <a href="https://github.com/ultralytics/hub/issues/new/choose">GitHub</a> for support, and join our <a href="https://ultralytics.com/discord">Discord</a> community for questions and discussions! |
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<a href="https://github.com/ultralytics"><img src="https://github.com/ultralytics/assets/raw/main/social/logo-social-github.png" width="3%" alt="Ultralytics GitHub"></a> |
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<a href="https://ultralytics.com/discord"><img src="https://github.com/ultralytics/assets/raw/main/social/logo-social-discord.png" width="3%" alt="Ultralytics Discord"></a> |
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</div> |
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## Introduction |
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[Ultralytics HUB](https://www.ultralytics.com/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](app/index.md) before being deployed for real-time classification, object detection, and instance segmentation tasks. |
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<p align="center"> |
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<iframe loading="lazy" width="720" height="405" src="https://www.youtube.com/embed/lveF9iCMIzc?si=_Q4WB5kMB5qNe7q6" |
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title="YouTube video player" frameborder="0" |
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allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share" |
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allowfullscreen> |
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</iframe> |
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<strong>Watch:</strong> Train Your Custom YOLO Models In A Few Clicks with Ultralytics HUB |
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</p> |
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We hope that the resources here will help you get the most out of HUB. Please browse the HUB <a href="https://docs.ultralytics.com/hub">Docs</a> for details, raise an issue on <a href="https://github.com/ultralytics/hub/issues/new/choose">GitHub</a> for support, and join our <a href="https://ultralytics.com/discord">Discord</a> community for questions and discussions! |
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- [**Quickstart**](quickstart.md): Start training and deploying models in seconds. |
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- [**Datasets**](datasets.md): Learn how to prepare and upload your datasets. |
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- [**Projects**](projects.md): Group your models into projects for improved organization. |
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- [**Models**](models.md): Train models and export them to various formats for deployment. |
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- [**Pro**](pro.md): Level up your experience by becoming a Pro user. |
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- [**Cloud Training**](cloud-training.md): Understand how to train models using our Cloud Training solution. |
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- [**Inference API**](inference-api.md): Understand how to use our Inference API. |
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- [**Teams**](teams.md): Collaborate effortlessly with your team. |
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- [**Integrations**](integrations.md): Explore different integration options. |
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- [**Ultralytics HUB App**](app/index.md): Learn about the Ultralytics HUB App, which allows you to run models directly on your mobile device. |
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- [**iOS**](app/ios.md): Explore CoreML acceleration on iPhones and iPads. |
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- [**Android**](app/android.md): Explore TFLite acceleration on Android devices. |
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## FAQ |
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### How do I get started with Ultralytics HUB for training YOLO models? |
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To get started with [Ultralytics HUB](https://www.ultralytics.com/hub), follow these steps: |
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1. **Sign Up:** Create an account on the [Ultralytics HUB](https://www.ultralytics.com/hub). |
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2. **Upload Dataset:** Navigate to the [Datasets](datasets.md) section to upload your custom dataset. |
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3. **Train Model:** Go to the [Models](models.md) section and select a pre-trained YOLOv5 or YOLOv8 model to start training. |
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4. **Deploy Model:** Once trained, preview and deploy your model using the [Ultralytics HUB App](app/index.md) for real-time tasks. |
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For a detailed guide, refer to the [Quickstart](quickstart.md) page. |
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### What are the benefits of using Ultralytics HUB over other AI platforms? |
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[Ultralytics HUB](https://www.ultralytics.com/hub) offers several unique benefits: |
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- **User-Friendly Interface:** Intuitive design for easy dataset uploads and model training. |
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- **Pre-Trained Models:** Access to a variety of pre-trained YOLOv5 and YOLOv8 models. |
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- **Cloud Training:** Seamless cloud training capabilities, detailed on the [Cloud Training](cloud-training.md) page. |
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- **Real-Time Deployment:** Effortlessly deploy models for real-time applications using the [Ultralytics HUB App](app/index.md). |
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- **Team Collaboration:** Collaborate with your team efficiently through the [Teams](teams.md) feature. |
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Explore more about the advantages in our [Ultralytics HUB Blog](https://www.ultralytics.com/blog/ultralytics-hub-a-game-changer-for-computer-vision). |
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### Can I use Ultralytics HUB for object detection on mobile devices? |
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Yes, Ultralytics HUB supports object detection on mobile devices. You can run YOLOv5 and YOLOv8 models on both iOS and Android devices using the Ultralytics HUB App. For more details: |
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- **iOS:** Learn about CoreML acceleration on iPhones and iPads in the [iOS](app/ios.md) section. |
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- **Android:** Explore TFLite acceleration on Android devices in the [Android](app/android.md) section. |
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### How do I manage and organize my projects in Ultralytics HUB? |
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Ultralytics HUB allows you to manage and organize your projects efficiently. You can group your models into projects for better organization. To learn more: |
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- Visit the [Projects](projects.md) page for detailed instructions on creating, editing, and managing projects. |
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- Use the [Teams](teams.md) feature to collaborate with team members and share resources. |
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### What integrations are available with Ultralytics HUB? |
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Ultralytics HUB offers seamless integrations with various platforms to enhance your machine learning workflows. Some key integrations include: |
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- **Roboflow:** For dataset management and model training. Learn more on the [Integrations](integrations.md) page. |
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- **Google Colab:** Efficiently train models using Google Colab's cloud-based environment. Detailed steps are available in the [Google Colab](https://docs.ultralytics.com/integrations/google-colab/) section. |
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- **Weights & Biases:** For enhanced experiment tracking and visualization. Explore the [Weights & Biases](https://docs.ultralytics.com/integrations/weights-biases/) integration. |
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For a complete list of integrations, refer to the [Integrations](integrations.md) page.
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