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Quickstart Guide for Ultralytics HUB

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.

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

Creating an Account

Ultralytics HUB offers multiple easy account creation options. Users can register and sign in using Google, Apple, GitHub accounts, or a work email address.

Creating an Account

The Dashboard

Upon logging in, users are directed to the HUB dashboard, providing a comprehensive overview. 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.

HUB Dashboard

Selecting the Model

Choose a Dataset and train the model by selecting the Project name, Model name, and Architecture. Ultralytics offers a range of YOLOv8, YOLOv5, and YOLOv5u6 Architectures, including pre-trained and custom options.

Read more about Models on the HUB Models page.

Training the Model

There are three ways to train your model: using Google Colab, training locally, or through Ultralytics Cloud. Learn more about training options on the Cloud Training Page.

Integrating the Model

Integrate your trained model with third-party applications or connect HUB from an external agent. Ultralytics HUB currently supports simple one-click API Integration with Roboflow. Read more about integration on the Integration Page.

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.

Support Page

Data Management

Manage your datasets efficiently with options to restore or permanently delete them from the Trash section in the left column.

Trash Page

Created 2023-11-12, Updated 2024-02-13
Authors: glenn-jocher (3), priytosh-tripathi (1)