New HUB Cloud Training docs page (#8174)
Co-authored-by: Glenn Jocher <glenn.jocher@ultralytics.com>
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Priytosh Tripathi
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@ -6,9 +6,7 @@ keywords: Ultralytics HUB, Quickstart, YOLOv5, YOLOv8, model training, quick dep
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# Quickstart Guide for Ultralytics HUB
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🚧 **Under Construction** 🚧
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Thank you for visiting the Quickstart guide for [Ultralytics HUB](https://hub.ultralytics.com/)! We're currently hard at work building out this page to provide you with step-by-step instructions on how to get up and running with HUB in no time.
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HUB is designed to be user-friendly and intuitive, with a drag-and-drop interface that allows users to easily upload their data and train new models quickly. It offers a range of pre-trained models and templates to choose from, making it easy for users to get started with training their own models. Once a model is trained, it can be easily deployed and used for real-time object detection, instance segmentation and classification tasks.
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<p align="center">
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<br>
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@ -21,32 +19,39 @@ Thank you for visiting the Quickstart guide for [Ultralytics HUB](https://hub.ul
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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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In the meantime, here's a brief overview of what you can expect from Ultralytics HUB:
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## Creating an Account
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## What is Ultralytics HUB?
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[Ultralytics HUB](https://hub.ultralytics.com/) offers multiple and easy account creation options to get started with. A user can user can register and sign-in using `Google`, `Apple` or `Github` account or a `work email` address(preferably for corporate users).
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Ultralytics HUB is your one-stop solution for training and deploying YOLOv5 and YOLOv8 models. It's designed with user experience in mind, featuring a drag-and-drop interface to make uploading data and training new models a breeze. Whether you're a beginner or an experienced machine learning practitioner, HUB has a range of pre-trained models and templates to accelerate your projects.
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## Key Features
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## The Dashboard and details
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- **User-Friendly Interface**: Simply drag and drop your data to start training.
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- **Pre-Trained Models**: Choose from a selection of pre-trained models to kick-start your projects.
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- **Real-Time Object Detection**: Deploy trained models easily for real-time object detection, instance segmentation, and classification tasks.
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After completing the registration and login process on the HUB, users are directed to the HUB dashboard. This dashboard provides a comprehensive overview, with the Welcome tutorial prominently displayed. Additionally, the left pane conveniently offers links for tasks such as Uploading Datasets, Creating Projects, Training Models, Integrating Third-party Applications, Accessing Support, and Managing Trash.
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## Coming Soon
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- Detailed Steps to Start Your First Project
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- Guide on Preparing and Uploading Datasets
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- Tutorial on Model Training and Exporting
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- Integration Options and How-To's
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- And much more!
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## Select the Model
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## Need Help Now?
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Once we have decided on a Dataset, it's time to train the model. We first pick the Project name and Model name (or leave it to default, if they are not label specific), then pick an Architecture. Ultralytics provide a wide range of YOLOv8, YOLOv5 and YOLOv5u6 Architectures. You can also pick from previously trained or custom model.
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The latter option allows us to fine tune option likes Pre-trained, Epochs, Image Size, Caching Strategy, Type of Device, Number of GPUs, Batch Size, AMP status and Freeze option. Read more about Models [HUB Models page](models.md).
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While we're polishing this page, feel free to:
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## Train the Model
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- Browse through other [HUB Docs](https://docs.ultralytics.com/hub/) for detailed guides and tutorials.
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- Raise an issue on our [GitHub](https://github.com/ultralytics/hub/) for technical support.
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- Join our [Discord Community](https://ultralytics.com/discord/) for live discussions and community support.
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Once we reach the Model Training page, we are offered three-way option to train our model. We can either use Google Colab to simply follow the steps and use the API key provided at the page, or follow the steps to actually train the model locally. The third way is our upcoming Ultralytics Cloud , which enables you to directly train your model over cloud even more efficiently. Read more about Training the model at [Cloud Training Page](cloudtraining.md)
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Stay tuned! We'll be back soon with more detailed information to help you get the most out of Ultralytics HUB. Thank you for your patience and interest!
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## Integrating the Model
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`Ultralytics Hub` supports integrating the model with other third-party applications or to connect HUB from an external agent. Currently we support `Roboflow`, with very simple one click API Integration. Read more about Integrating the model at [Integration Page](integrations.md)
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## Stuck? We got you!
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We at Ultralytics we have a strong faith in user feedbacks and complaints. You can `Report a bug`, `Request a Feature` and/or `Ask question`.
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## Data restoration and deletion
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Your Dataset in your account can be restored and/or deleted permanently from the `Trash` section in the left column.
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