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Ultralytics HUB Integrations

Learn about Ultralytics HUB integrations with various platforms and formats.

Datensätze

Seamlessly import your datasets in Ultralytics HUB for model training.

After a dataset is imported in Ultralytics HUB, you can train a model on your dataset just like you would using the Ultralytics HUB datasets.

Roboflow

You can easily filter the Roboflow datasets on the Ultralytics HUB Datasets page.

Ultralytics HUB screenshot of the Datasets page with Roboflow provider filter

Ultralytics HUB supports two types of integrations with Roboflow, Universe and Workspace.

Universe

The Roboflow Universe integration allows you to import one dataset at a time into Ultralytics HUB from Roboflow.

Import

When you export a Roboflow dataset, select the Ultralytics HUB format. This action will redirect you to Ultralytics HUB and trigger the Dataset Import dialog.

You can import your Roboflow dataset by clicking on the Import button.

Ultralytics HUB screenshot of the Dataset Import dialog with an arrow pointing to the Import button

Als nächstes trainierst du ein Modell auf deinem Datensatz.

Ultralytics HUB screenshot of the Dataset page of a Roboflow Universe dataset with an arrow pointing to the Train Model button

Remove

Navigate to the Dataset page of the Roboflow dataset you want to remove, open the dataset actions dropdown and click on the Remove option.

Ultralytics HUB screenshot of the Dataset page of a Roboflow Universe dataset with an arrow pointing to the Remove option

Tipp

You can remove an imported Roboflow dataset directly from the Datasets page.

Ultralytics HUB screenshot of the Datasets page with an arrow pointing to the Remove option of one of the Roboflow Universe datasets

Workspace

The Roboflow Workspace integration allows you to import an entire Roboflow Workspace at once into Ultralytics HUB.

Import

Navigate to the Integrations page by clicking on the Integrations button in the sidebar.

Type your Roboflow Workspace private API key and click on the Add button.

Tipp

You can click on the Get my API key button which will redirect you to the settings of your Roboflow Workspace from where you can obtain your private API key.

Ultralytics HUB screenshot of the Integrations page with an arrow pointing to the Integrations button in the sidebar and one to the Add button

This will connect your Ultralytics HUB account with your Roboflow Workspace and make your Roboflow datasets available in Ultralytics HUB.

Ultralytics HUB screenshot of the Integrations page with an arrow pointing to one of the connected workspaces

Als nächstes trainierst du ein Modell auf deinem Datensatz.

Ultralytics HUB screenshot of the Dataset page of a Roboflow Workspace dataset with an arrow pointing to the Train Model button

Remove

Navigate to the Integrations page by clicking on the Integrations button in the sidebar and click on the Unlink button of the Roboflow Workspace you want to remove.

Ultralytics HUB screenshot of the Integrations page  with an arrow pointing to the Integrations button in the sidebar and one to the Unlink button of one of the connected workspaces

Tipp

You can remove a connected Roboflow Workspace directly from the Dataset page of one of the datasets from your Roboflow Workspace.

Ultralytics HUB screenshot of the Dataset page of a Roboflow Workspace dataset with an arrow pointing to the remove option

Tipp

You can remove a connected Roboflow Workspace directly from the Datasets page.

Ultralytics HUB screenshot of the Datasets page with an arrow pointing to the Remove option of one of the Roboflow Workspace datasets

Modelle

Exports

After you train a model, you can export it to 13 different formats, including ONNX, OpenVINO, CoreML, TensorFlow, Paddle and many others.

Ultralytics HUB-Screenshot der Registerkarte "Deploy" auf der Seite "Modell" mit einem Pfeil, der auf die Karte "Export" zeigt, und allen exportierten Formaten

The available export formats are presented in the table below.

Format format Argument Modell Metadaten Argumente
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 Kante 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

Aufregende neue Funktionen auf dem Weg 🎉

  • Zusätzliche Datensatz-Integrationen
  • Detaillierte Leitfäden zur Exportintegration
  • Schritt-für-Schritt-Anleitungen für jede Integration

Bleib auf dem Laufenden 🚧

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Danke, Community! 🌍

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Created 2023-11-12, Updated 2024-06-22
Authors: glenn-jocher (8), sergiuwaxmann (3), Burhan-Q (3)

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