OCTA-SVR-100K
Version 1OCTA-100K-SVR is a large-scale synthetic dataset designed for training and evaluating Vision-Language Models (VLMs) on Optical Coherence Tomography Angiography (OCTA) analysis, particularly for explainable diabetic retinopathy (DR) staging. The dataset contains 100,000 pairs of synthetic OCTA images and structured reasoning texts, generated through a pathology-aware simulation pipeline.
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OCTA-100K-SVR is a large-scale synthetic dataset designed for training and evaluating Vision-Language Models (VLMs) on Optical Coherence Tomography Angiography (OCTA) analysis, particularly for explainable diabetic retinopathy (DR) staging. The dataset contains 100,000 pairs of synthetic OCTA images and structured reasoning texts, generated through a pathology-aware simulation pipeline.