The available dataset was captured by Jan Odstrcilik. image contrast or illumination conditions) may be considered in a future version. In the current version of our database, images of poor quality suffer from decreased sharpness (locally or globally), e.g. Both images share approximately the same field of view, whereas small shifts were caused by eye movements between the acquisitions. For each pair, the first image has poor quality and thus the examination had to be repeated. We captured 18 image pairs of the same eye from 18 human subjects using a Canon CR-1 fundus camera with a field of view of 45° and different acquisition setting. Optic Disk Goldstandard (Center Point and Radius):ĭownload gold standard data of two experts for optic disk localizationĮarlier stages of the datasets are available here We intend to add further gold standard data to the existing images to help the evaluation of algorithms which localize the macula, optic disc, or differentiate between arteries and veins.ĭownload input images of healthy eyes (~18 Mb)ĭownload input images of glaucomatous eyes (~21 Mb)ĭownload input images of eyes with diabetic retinopathy (~28 Mb)ĭownload the FOV mask images for the healthy eyes (~1 Mb)ĭownload the FOV mask images for the glaucomatous eyes (~1 Mb)ĭownload the FOV mask images for the eyes with diabetic retinopathy (~1 Mb)ĭownload manually labeled images of healthy eyes (~2 Mb)ĭownload manually labeled images of glaucomatous eyes (~2 Mb)ĭownload manually labeled images of eyes with diabetic retinopathy (~2 Mb) The gold standard data is generated by a group of experts working in the field of retinal image analysis and clinicians from the cooperated ophthalmology clinics. Also the masks determining field of view (FOV) are provided for particular datasets. Binary gold standard vessel segmentation images are available for each image. The public database contains at the moment 15 images of healthy patients, 15 images of patients with diabetic retinopathy and 15 images of glaucomatous patients.
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