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comments | description | keywords |
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true | Kickstart your journey with Ultralytics HUB. Learn how to train and deploy YOLOv5 and YOLOv8 models in seconds with our Quickstart guide. | Ultralytics HUB, Quickstart, YOLOv5, YOLOv8, model training, quick deployment, drag-and-drop interface, real-time object detection |
Quickstart Guide for Ultralytics HUB
🚧 Under Construction 🚧
Thank you for visiting the Quickstart guide for Ultralytics HUB! 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.
Watch: Train Your Custom YOLO Models In A Few Clicks with Ultralytics HUB.
In the meantime, here's a brief overview of what you can expect from Ultralytics HUB:
What is Ultralytics HUB?
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.
Key Features
- User-Friendly Interface: Simply drag and drop your data to start training.
- Pre-Trained Models: Choose from a selection of pre-trained models to kick-start your projects.
- Real-Time Object Detection: Deploy trained models easily for real-time object detection, instance segmentation, and classification tasks.
Coming Soon
- Detailed Steps to Start Your First Project
- Guide on Preparing and Uploading Datasets
- Tutorial on Model Training and Exporting
- Integration Options and How-To's
- And much more!
Need Help Now?
While we're polishing this page, feel free to:
- Browse through other HUB Docs for detailed guides and tutorials.
- Raise an issue on our GitHub for technical support.
- Join our Discord Community for live discussions and community support.
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!