Dataset3: Fundus Image Dataset for Diabetic Retinopathy Classification
Version 1This dataset supports the research article titled "RetinoNet: An EfficientNet and Feature Pyramid Network-Based Framework for Accurate Diabetic Retinopathy Classification". It contains preprocessed fundus images categorised by diabetic retinopathy severity levels (class 0–4). The preprocessing pipeline includes CLAHE contrast enhancement, denoising, and GrabCut segmentation to improve lesion visibility. This Zenodo record mirrors the Kaggle repository (https://www.kaggle.com/datasets/anithajaiku
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This dataset supports the research article titled "RetinoNet: An EfficientNet and Feature Pyramid Network-Based Framework for Accurate Diabetic Retinopathy Classification". It contains preprocessed fundus images categorised by diabetic retinopathy severity levels (class 0–4). The preprocessing pipeline includes CLAHE contrast enhancement, denoising, and GrabCut segmentation to improve lesion visibility. This Zenodo record mirrors the Kaggle repository (https://www.kaggle.com/datasets/anithajaiku