Labelled Dataset of Retinal Images for Glaucoma detection

Fundus photography is a viable option for glaucoma population screening. In order to facilitate the development of computer-aided glaucoma detection systems, we publish this annotation dataset that contains manual annotations of glaucoma features for seven public fundus image data sets. All manual annotations are made by a specialised ophthalmologist. For each of the fundus images in the seven fundus datasets, the upper, the bottom, the left and the right boundary coordinates of the optic disc and the cup are stored in a .mat file with the corresponding fundus image name. The seven public fundus image data sets are: CHASEDB (https://blogs.kingston.ac.uk/retinal/chasedb1/), Diaretdb1_v_1_1 (https://www.it.lut.fi/project/imageret/diaretdb1/), DRINSHTI (http://cvit.iiit.ac.in/projects/mip/drishti-gs/mip-dataset2/Home.php), DRIONS-DB (http://www.ia.uned.es/~ejcarmona/DRIONS-DB.html), DRIVE (https://www.isi.uu.nl/Research/Databases/DRIVE/), HRF (https://www5.cs.fau.de/research/data/fundus-images/), and Messidor (http://www.adcis.net/en/Download-Third-Party/Messidor.html). Researchers are encouraged to use this set to train or validate their systems for automatic glaucoma detection. When you use this set, please cite our published paper: J. Guo, G. Azzopardi, C. Shi, N. M. Jansonius and N. Petkov, "Automatic Determination of Vertical Cup-to-Disc Ratio in Retinal Fundus Images for Glaucoma Screening," in IEEE Access, vol. 7, pp. 8527-8541, 2019, doi: 10.1109/ACCESS.2018.2890544.