@kalenmike once we've updated the ultralytics package we should probably add a Docker tab or link on the train page since `ultralytics` is installed by default in https://hub.docker.com/r/ultralytics/ultralytics

👋 Hello @blaise98-dev, thanks for the suggestion regarding the Ultralytics HUB repository! 🌟 We appreciate your input on improving our documentation and usability.

To learn more about Ultralytics HUB, you can visit our HUB Docs with several helpful resources:

Quickstart: Quickly begin training and deploying YOLO models with ease.
Datasets: Preparing and Uploading: Step-by-step guide for preparing and uploading your datasets in YOLO format.
Projects: Creating and Managing: Streamline model management by grouping them into projects.
Models: Training and Exporting: Train and export YOLOv5 and YOLOv8 models in various formats.
Integrations: Discover integration options for TensorFlow, ONNX, OpenVINO, CoreML, and PaddlePaddle.
Ultralytics HUB App: Utilize the Ultralytics App for on-device model execution.
- iOS: Utilize YOLO CoreML models on Apple's devices.
- Android: Leverage TFLite acceleration on Android devices.
Inference API: Run your models in the cloud to generate predictions.

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ultralytics / hub

@kalenmike once we've updated the ultralytics package we should probably add a Docker tab or link on the train page since `ultralytics` is installed by default in https://hub.docker.com/r/ultralytics/ultralytics #932