Cataract binary datset 4840

Zenodo (CERN European Organization for Nuclear Research) 2026 Dataset Open access

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Authors: Gisella Luisa Elena Maquen-Niño
DOI: 10.5281/zenodo.18500873
Cited by: 0

Abstract

The dataset comprised 4,840 images obtained from Kaggle (2023), Ocular Disease Recognition EDA (https://www.kaggle.com/code/gpreda/ocular-disease-recognition-eda/notebook). Data augmentation techniques were applied to enhance model generalization, including random rotations (±10 degrees), scaling (90–110%), and adjustments in brightness and contrast.

Fields of Study & Subjects

Retinal Imaging and Analysis Advanced Neural Network Applications Artificial Intelligence in Healthcare

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
5 February 2026
Language
ES
Document type
Dataset