Kaggle integration

[dantetemplar]

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Description

Add opportunity to work with datasets from Kaggle supporting different popular data formats (at least COCO).

Use case

No response

Additional

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[UltralyticsAssistant]

👋 Hello @dantetemplar, thank you for suggesting an integration with Kaggle for Ultralytics HUB 🚀!

Please check out our HUB Docs to learn more about our current features:

• Quickstart. Begin training and deploying YOLO models with HUB in no time.
• Datasets: Preparing and Uploading. Discover how to prepare and upload datasets to HUB in YOLO format, and keep an eye out for updates on additional formats!
• Projects: Creating and Managing. Organize your models seamlessly within projects.
• Models: Training and Exporting. Train YOLOv5 and YOLOv8 on your datasets and explore various export options.
• Integrations. Check out our integration options for deploying your models with different frameworks.
• Ultralytics HUB App. Discover our mobile app for iOS and Android, enabling you to deploy models on your device.
  • iOS. Utilize YOLO models with Apple's CoreML.
  • Android. Leverage TFLite for mobile acceleration.
• Inference API. Utilize the API for cloud-based model inference.

If this is a 🐛 Bug Report or there's a need for further assistance, kindly provide detailed steps for a minimum reproducible example.

This is an automated response to acknowledge your request. An Ultralytics engineer will review and assist you soon. Thanks for your input and patience! 🌟