RetinaX dataset
Version 1RetinaX dataset is built by selectively combining four publicly available datasets: the STARE dataset, ARIA dataset, RFMiD dataset, and RFMiD 2.0 dataset. It contains a total of 2,514 images and 24 distinct labels, covering nearly all common and rare retinal diseases. The label distribution and sample count are shown in the above figure, following a long-tail pattern, and includeing a wide range of disease status: DR (Diabetic Retinopathy), ODC (Optic Disc Cupping), MH (Media Haze), DN (Drusen),
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RetinaX dataset is built by selectively combining four publicly available datasets: the STARE dataset, ARIA dataset, RFMiD dataset, and RFMiD 2.0 dataset. It contains a total of 2,514 images and 24 distinct labels, covering nearly all common and rare retinal diseases. The label distribution and sample count are shown in the above figure, following a long-tail pattern, and includeing a wide range of disease status: DR (Diabetic Retinopathy), ODC (Optic Disc Cupping), MH (Media Haze), DN (Drusen),