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Description
Issue Type
- Model: ML model bug, training issue, or architecture problem
- Data: Dataset issue, preprocessing bug, or data pipeline problem
- Web: Frontend bug or UI issue in the Next.js dashboard
- API: Backend API bug or FastAPI endpoint issue
- Research: Research question or experimental feature request
- Documentation: Documentation bug or improvement needed
- Bug: General bug fix needed
- Enhancement: New feature or improvement request
Description
Evaluate ViT baseline trained on current dataset against the other two datasets to quantify generalization and failure modes.
Deliverable
- Updated vit_transfer_baseline.ipynb with cross-dataset eval cells
- Report: AUC/F1/Acc, confusion matrices, ROC curves per dataset
Additional Context
Use identical transforms + normalization at eval time.
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