Reduanul1997/Repository_processed_dataset_OCTID

OCTID Processed Dataset

Processed version of the OCTID retinal OCT dataset prepared for research experiments comparing Swin Transformer architectures.

Dataset Summary

• —Dataset: OCTID
• —Total images: 572
• —Number of classes: 5
• —Image size: 224 x 224
• —Image mode: RGB
• —Image format: JPEG

Classes

Preprocessing

The preprocessing pipeline consists of:

1. 1.Aspect-ratio-preserving resize
2. 2.Center crop to 224 x 224
3. 3.Non-Local Means denoising
4. 4.CLAHE enhancement

ImageNet normalization is intentionally not stored in the images. It will be applied during the PyTorch training pipeline.

Experimental Splits

Five repeated stratified splits are provided.

Each split contains approximately:

• —50% training
• —20% validation
• —30% testing

Seeds:

• —42
• —52
• —62
• —72
• —82

The same split files should be used when comparing different models to ensure a fair experimental comparison.

Repository Structure

images/ splits/ metadata/ README.md

Intended Use

This processed dataset is intended for research experiments involving retinal OCT image classification and comparison of deep learning models, including Swin Transformer and custom Swin Transformer architectures.

The provided split files should be used consistently across models to maintain a fair comparison.

Image Preprocessing

The saved images have already undergone:

• —Aspect-ratio-preserving resize
• —Center crop
• —Non-Local Means denoising
• —CLAHE enhancement

ImageNet normalization is NOT included in the saved JPEG files.

For model training, ImageNet normalization should be applied after loading the image and converting it to a tensor.

Reproducibility

The repository includes five stratified train/validation/test splits and the experiment configuration used during dataset preparation.

These files are provided so that the same experimental partitions can be reused across different models.

Dataset Integrity

• —Original images checked: 572
• —Corrupted original images: 0
• —Original duplicate files: 0
• —Processed images: 572
• —Missing processed images: 0
• —Processed duplicate files: 0
• —Processed image size: 224 x 224
• —Processed image mode: RGB

License and Citation

This repository contains processed research data derived from OCTID.

Please consult the original OCTID dataset/source for its licensing, citation requirements, and redistribution conditions before using or publishing this dataset.