ADAM — Automatic Detection of AMD Challenge
1200 fundus images for AMD classification, five-class lesion segmentation, fovea/optic disc localisation.
1200 fundus images for AMD classification, five-class lesion segmentation, fovea/optic disc localisation.
4800 AS-OCT images from 199 patients. Two tasks: angle closure classification and scleral spur localization.
1,136 OCT B-scans from 24 AMD patients. Expert annotations for 3 retinal fluid types (IRF, SRF, PED) and 3 retinal layer boundaries for joint layer and fluid segmentation.
Fundus photographs from Bangladesh Eye Hospital for glaucoma detection. Includes optic cup/disc crops and vessel segmentation masks alongside binary glaucoma/normal labels.
12522 fundus images with DR grading (0-5) and lesion-level segmentation annotations.
300 paired fundus + 3D OCT volumes. Glaucoma grading into Normal / Early / Advanced plus OD/OC segmentation and fovea location.
300 circumpapillary OCT images. RNFL/GCIPL/choroid layer segmentation plus binary glaucoma classification.
1,000 patients with OCT RNFLT maps (225×225), visual field measurements, and demographics for glaucoma detection (binary) and longitudinal progression forecasting (6 definitions). First public glaucom
1200 fundus images for pathologic myopia classification and optic disc / lesion segmentation. 50 % PM / 50 % non-PM.
42 infrared reflectance fundus images with separate artery and vein segmentation masks. 23 train / 19 test.
1200 fundus images from REFUGE1 with optic disc/cup segmentation masks annotated by multiple expert raters.
2000 fundus images for glaucoma classification, optic disc/cup segmentation, and fovea localisation. Extends REFUGE1.
Ultra-widefield fundus photographs for diabetic retinopathy grading (5-level ICDR scale). Released alongside the Reasoning-Enhanced VLM paper for interpretable UWF DR detection. Related to the UWF4DR