---
comments: true
description: Get started with Ultralytics HUB! Learn to upload datasets, train YOLO models, and manage projects easily with our user-friendly platform.
keywords: Ultralytics HUB, Quickstart, YOLO models, dataset upload, project management, train models, machine learning
---
# Ultralytics HUB Quickstart
[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](https://www.ultralytics.com/glossary/object-detection), and [instance segmentation](https://www.ultralytics.com/glossary/instance-segmentation) tasks.
Watch: How to train Ultralytics YOLO11 on Custom Dataset using Ultralytics HUB | HUB Datasets 🚀
## Get Started
[Ultralytics HUB](https://www.ultralytics.com/hub) offers a variety of easy signup options. You can register and log in using your Google, Apple, or GitHub accounts, or simply with your email address.

During the signup, you will be asked to complete your profile.

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You can update your profile from the [Account](https://hub.ultralytics.com/settings?tab=account) tab on the [Settings](https://hub.ultralytics.com/settings) page.

## Home
After signing in, you will be directed to the [Home](https://hub.ultralytics.com/home) page of [Ultralytics HUB](https://www.ultralytics.com/hub), which provides a comprehensive overview, quick links, and updates.
The sidebar conveniently offers links to important modules of the platform, such as [Datasets](https://hub.ultralytics.com/datasets), [Projects](https://hub.ultralytics.com/projects), and [Models](https://hub.ultralytics.com/models).

### Recent
You can easily search globally or directly access your last updated [Datasets](https://hub.ultralytics.com/datasets), [Projects](https://hub.ultralytics.com/projects), or [Models](https://hub.ultralytics.com/models) using the Recent card on the [Home](https://hub.ultralytics.com/home) page.

### Upload Dataset
You can upload a dataset directly from the [Home](https://hub.ultralytics.com/home) page. Ultralytics HUB supports various dataset formats and makes it easy to prepare your data for [training custom YOLO models](https://www.ultralytics.com/blog/how-to-train-and-deploy-yolo11-using-ultralytics-hub).

Read more about [datasets](datasets.md) and how to prepare them for optimal training results.
### Create Project
You can create a project directly from the [Home](https://hub.ultralytics.com/home) page. Projects help you organize related models and experiments in one place, making it easier to track progress and compare results.

Read more about [projects](projects.md) and how they can streamline your workflow.
### Train Model
You can train a model directly from the [Home](https://hub.ultralytics.com/home) page. Ultralytics HUB offers multiple training options including [cloud training](cloud-training.md), Google Colab integration, or using your own hardware.

Read more about [models](models.md) and the various architectures available for your computer vision tasks.
## Feedback
We value your feedback! Feel free to leave a review at any time to help us improve the platform.


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Only our team will see your feedback, and we will use it to improve our platform.
## Need Help?
If you encounter any issues or have questions, we're here to assist you.
You can report a bug, request a feature, or ask a question on [GitHub](https://github.com/ultralytics/hub/issues/new/choose).
!!! note
When reporting a bug, please include your Environment Details from the [Support](https://hub.ultralytics.com/support) page.

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You can join our [Discord](https://discord.com/invite/ultralytics) community for questions and discussions!