be5cf7a033
Signed-off-by: Glenn Jocher <glenn.jocher@ultralytics.com> Co-authored-by: Glenn Jocher <glenn.jocher@ultralytics.com>
62 lines
4.9 KiB
Markdown
62 lines
4.9 KiB
Markdown
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description: Explore integration options for Ultralytics HUB. Currently featuring Roboflow for dataset integration and multiple export formats for your trained models. Discover what's next for Ultralytics with our under-construction page, previewing new, groundbreaking AI and ML features coming soon.
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keywords: Ultralytics HUB, Integrations, Roboflow, Dataset, Export, YOLOv5, YOLOv8, ONNX, CoreML, TensorRT, TensorFlow, coming soon, under construction, new features, AI updates, ML advancements, YOLO, technology preview
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---
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# Ultralytics HUB Integrations - Under Construction 🏗️🌟
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We are in the process of expanding this section to provide you with comprehensive guidance on integrating your YOLOv5 and YOLOv8 models with various platforms and formats.
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We appreciate your patience as we work to make this section comprehensive and user-friendly. Stay tuned for updates!
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### Available Integrations
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#### Dataset
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- **Roboflow**: Seamlessly import your datasets for training.
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#### Export
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Available export formats are in the table below. You can predict or validate directly on exported models using the `ultralytics` Python package, i.e. `yolo predict model=yolov8n.onnx`.
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| Format | `format` Argument | Model | Metadata | Arguments |
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| ------------------------------------------------- | ----------------- | ------------------------- | -------- | -------------------------------------------------------------------- |
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| [PyTorch](https://pytorch.org/) | - | `yolov8n.pt` | ✅ | - |
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| [TorchScript](../integrations/torchscript.md) | `torchscript` | `yolov8n.torchscript` | ✅ | `imgsz`, `optimize`, `batch` |
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| [ONNX](../integrations/onnx.md) | `onnx` | `yolov8n.onnx` | ✅ | `imgsz`, `half`, `dynamic`, `simplify`, `opset`, `batch` |
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| [OpenVINO](../integrations/openvino.md) | `openvino` | `yolov8n_openvino_model/` | ✅ | `imgsz`, `half`, `int8`, `batch` |
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| [TensorRT](../integrations/tensorrt.md) | `engine` | `yolov8n.engine` | ✅ | `imgsz`, `half`, `dynamic`, `simplify`, `workspace`, `int8`, `batch` |
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| [CoreML](../integrations/coreml.md) | `coreml` | `yolov8n.mlpackage` | ✅ | `imgsz`, `half`, `int8`, `nms`, `batch` |
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| [TF SavedModel](../integrations/tf-savedmodel.md) | `saved_model` | `yolov8n_saved_model/` | ✅ | `imgsz`, `keras`, `int8`, `batch` |
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| [TF GraphDef](../integrations/tf-graphdef.md) | `pb` | `yolov8n.pb` | ❌ | `imgsz`, `batch` |
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| [TF Lite](../integrations/tflite.md) | `tflite` | `yolov8n.tflite` | ✅ | `imgsz`, `half`, `int8`, `batch` |
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| [TF Edge TPU](../integrations/edge-tpu.md) | `edgetpu` | `yolov8n_edgetpu.tflite` | ✅ | `imgsz`, `batch` |
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| [TF.js](../integrations/tfjs.md) | `tfjs` | `yolov8n_web_model/` | ✅ | `imgsz`, `half`, `int8`, `batch` |
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| [PaddlePaddle](../integrations/paddlepaddle.md) | `paddle` | `yolov8n_paddle_model/` | ✅ | `imgsz`, `batch` |
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| [NCNN](../integrations/ncnn.md) | `ncnn` | `yolov8n_ncnn_model/` | ✅ | `imgsz`, `half`, `batch` |
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## Exciting New Features on the Way 🎉
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- Additional Dataset Integrations
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- Detailed Export Integration Guides
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- Step-by-Step Tutorials for Each Integration
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## Stay Updated 🚧
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This placeholder page is your first stop for upcoming developments. Keep an eye out for:
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- **Newsletter:** Subscribe [here](https://ultralytics.com/#newsletter) for the latest news.
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- **Social Media:** Follow us [here](https://www.linkedin.com/company/ultralytics) for updates and teasers.
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- **Blog:** Visit our [blog](https://ultralytics.com/blog) for detailed insights.
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## We Value Your Input 🗣️
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Your feedback shapes our future releases. Share your thoughts and suggestions [here](https://ultralytics.com/survey).
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## Thank You, Community! 🌍
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Your [contributions](https://docs.ultralytics.com/help/contributing) inspire our continuous [innovation](https://github.com/ultralytics/ultralytics). Stay tuned for the big reveal of what's next in AI and ML at Ultralytics!
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---
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Excited for what's coming? Bookmark this page and get ready for a transformative AI and ML journey with Ultralytics! 🛠️🤖
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