Objective
Standardize the SipakMED and Herlev datasets to create a consistent and clean input pipeline for model training and fine-tuning.
Task Details
- Design a preprocessing pipeline to bring both datasets into a unified format (e.g., resolution, color space, labeling scheme).
- Implement basic image processing steps such as resizing, normalization, and noise reduction.
- Apply consistent data augmentation strategies (rotation, flipping, color jitter, etc.).
- Investigate and apply stain normalization or correction techniques to reduce variation across samples.
- Ensure compatibility with downstream models and training scripts.
Deliverables
- Standardized dataset (or a script to generate it)
- Documentation describing the preprocessing steps and rationale
- Visual samples of pre- and post-processing for both datasets
Objective
Standardize the SipakMED and Herlev datasets to create a consistent and clean input pipeline for model training and fine-tuning.
Task Details
Deliverables