Tunisian OCT Dataset for Multi-Disease Retinal ClassificationTunisian OCT Dataset for Multi-Disease Retinal Classification

The Retinal-OCT-Clinical-Dataset is a collection of clinically acquired retinal OCT (Optical Coherence Tomography) images, designed to serve as a benchmark for deep learning models in retinal disease classification.The dataset includes images from multiple retinal pathologies:AMD (Age-related Macular Degeneration)DME (Diabetic Macular Edema)RRD (Rhegmatogenous Retinal Detachment)Healthy/Normal cases⚠️ Access: To ensure compliance with ethical guidelines and patient privacy, the dataset is available upon reasonable request under controlled access conditions.This dataset is suitable for:Training and evaluating deep learning models for retinal disease detection.Benchmarking classification performance across multiple retinal pathologies.Access to the dataset is granted after approval of a signed Data Use Agreement.The Data Agreement is available on the project GitHub repository.Applicants must download the agreement, sign it, and send it by email to: [e-mail] approval, download access will be granted manually.