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Training Data or Model ​

Step 1 is where you provide what the pipeline works from. Start by choosing a workflow, then fill in the inputs that workflow needs.

What This Step Does ​

  • Pick a workflow — train a new model, or import one you already have; the "Choose Workflow" help explains how to decide

  • Provide the matching inputs for that workflow using the file selectors below the choice

  • Advance when the required inputs are in place: training continues to Step 2 (Configure), import jumps to Step 4 (Inference)

Inputs by Workflow ​

  • Train from scratch: raw training images and their annotation masks

  • Use a pretrained model: the model weights (.pth) and its configuration (.json)

Each selector has its own help icon describing the file it expects and how to prepare it.

Part of DFG Priority Programme SPP2332 "Physics of Parasitism"