Ultralytics HUB Integrations - Under Construction 🏗️🌟
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.
We appreciate your patience as we work to make this section comprehensive and user-friendly. Stay tuned for updates!
Available Integrations
Dataset
- Roboflow: Seamlessly import your datasets for training.
Export
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.
| Format | format Argument |
Model | Metadata | Arguments |
|---|---|---|---|---|
| PyTorch | - | yolov8n.pt |
✅ | - |
| TorchScript | torchscript |
yolov8n.torchscript |
✅ | imgsz, optimize, batch |
| ONNX | onnx |
yolov8n.onnx |
✅ | imgsz, half, dynamic, simplify, opset, batch |
| OpenVINO | openvino |
yolov8n_openvino_model/ |
✅ | imgsz, half, int8, batch |
| TensorRT | engine |
yolov8n.engine |
✅ | imgsz, half, dynamic, simplify, workspace, int8, batch |
| CoreML | coreml |
yolov8n.mlpackage |
✅ | imgsz, half, int8, nms, batch |
| TF SavedModel | saved_model |
yolov8n_saved_model/ |
✅ | imgsz, keras, int8, batch |
| TF GraphDef | pb |
yolov8n.pb |
❌ | imgsz, batch |
| TF Lite | tflite |
yolov8n.tflite |
✅ | imgsz, half, int8, batch |
| TF Edge TPU | edgetpu |
yolov8n_edgetpu.tflite |
✅ | imgsz, batch |
| TF.js | tfjs |
yolov8n_web_model/ |
✅ | imgsz, half, int8, batch |
| PaddlePaddle | paddle |
yolov8n_paddle_model/ |
✅ | imgsz, batch |
| NCNN | ncnn |
yolov8n_ncnn_model/ |
✅ | imgsz, half, batch |
Exciting New Features on the Way 🎉
- Additional Dataset Integrations
- Detailed Export Integration Guides
- Step-by-Step Tutorials for Each Integration
Stay Updated 🚧
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