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HUB Integrations

🚧 Under Construction 🚧

Welcome to the Integrations guide for Ultralytics HUB! 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. Currently, Roboflow is our available dataset integration, with a wide range of export integrations for your trained models.

Watch: Train Your Custom YOLO Models In A Few Clicks with Ultralytics HUB.

Available Integrations

Dataset Integrations

  • Roboflow: Seamlessly import your datasets for training.

Export Integrations

Format format Argument Model Metadata Arguments
PyTorch - -
TorchScript torchscript yolov8n.torchscript imgsz, optimize
ONNX onnx yolov8n.onnx imgsz, half, dynamic, simplify, opset
OpenVINO openvino yolov8n_openvino_model/ imgsz, half, int8
TensorRT engine yolov8n.engine imgsz, half, dynamic, simplify, workspace
CoreML coreml yolov8n.mlpackage imgsz, half, int8, nms
TF SavedModel saved_model yolov8n_saved_model/ imgsz, keras, int8
TF GraphDef pb yolov8n.pb imgsz
TF Lite tflite yolov8n.tflite imgsz, half, int8
TF Edge TPU edgetpu yolov8n_edgetpu.tflite imgsz
TF.js tfjs yolov8n_web_model/ imgsz, half, int8
PaddlePaddle paddle yolov8n_paddle_model/ imgsz
NCNN ncnn yolov8n_ncnn_model/ imgsz, half

Coming Soon

  • Additional Dataset Integrations
  • Detailed Export Integration Guides
  • Step-by-Step Tutorials for Each Integration

Need Immediate Assistance?

While we're in the process of creating detailed guides:

  • Browse through other HUB Docs for detailed guides and tutorials.
  • Raise an issue on our GitHub for technical support.
  • Join our Discord Community for live discussions and community support.

We appreciate your patience as we work to make this section comprehensive and user-friendly. Stay tuned for updates!

Created 2023-11-12, Updated 2024-02-03
Authors: glenn-jocher (4)