Train from a Universe Checkpoint

To initiate training from a Roboflow Universe checkpoint, ensure your selected dataset is starred and tagged as a "Model" within your Universe profile, which allows it to be used for transfer learning. Navigate to the "Versions" page of your target dataset within the Roboflow Main App UI, choose a version without a prior training mark, and click "Start Training." Depending on your project type—Single-Label Classification, Multi-Label Classification, or Semantic Segmentation—you may be prompted to select between a Fast or Accurate model, or simply proceed without this option. Once training is initiated, you receive an email notification upon completion, after which the model can be deployed for inference and integrated into a custom application, with progress monitoring available through the UI.