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!
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: How to train Ultralytics YOLO11 on Custom Dataset using Ultralytics HUB | HUB Datasets 🚀
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.
FAQ
How do I get started with Ultralytics HUB for training YOLO models?
To get started with Ultralytics HUB, follow these steps:
- Sign Up: Create an account on the Ultralytics HUB.
- Upload Dataset: Navigate to the Datasets section to upload your custom dataset.
- Train Model: Go to the Models section and select a pre-trained YOLOv5 or YOLOv8 model to start training.
- Deploy Model: Once trained, preview and deploy your model using the Ultralytics HUB App for real-time tasks.
For a detailed guide, refer to the Quickstart page.
What are the benefits of using Ultralytics HUB over other AI platforms?
Ultralytics HUB offers several unique benefits:
- User-Friendly Interface: Intuitive design for easy dataset uploads and model training.
- Pre-Trained Models: Access to a variety of pre-trained YOLOv5 and YOLOv8 models.
- Cloud Training: Seamless cloud training capabilities, detailed on the Cloud Training page.
- Real-Time Deployment: Effortlessly deploy models for real-time applications using the Ultralytics HUB App.
- Team Collaboration: Collaborate with your team efficiently through the Teams feature.
Explore more about the advantages in our Ultralytics HUB Blog.
Can I use Ultralytics HUB for object detection on mobile devices?
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:
- iOS: Learn about CoreML acceleration on iPhones and iPads in the iOS section.
- Android: Explore TFLite acceleration on Android devices in the Android section.
How do I manage and organize my projects in Ultralytics HUB?
Ultralytics HUB allows you to manage and organize your projects efficiently. You can group your models into projects for better organization. To learn more:
- Visit the Projects page for detailed instructions on creating, editing, and managing projects.
- Use the Teams feature to collaborate with team members and share resources.
What integrations are available with Ultralytics HUB?
Ultralytics HUB offers seamless integrations with various platforms to enhance your machine learning workflows. Some key integrations include:
- Roboflow: For dataset management and model training. Learn more on the Integrations page.
- Google Colab: Efficiently train models using Google Colab's cloud-based environment. Detailed steps are available in the Google Colab section.
- Weights & Biases: For enhanced experiment tracking and visualization. Explore the Weights & Biases integration.
For a complete list of integrations, refer to the Integrations page.
