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] After approval, download access will be granted manually.