Context These data represent Diabetic Retinopathy grades (as well as DME and Gradability) for the publicaly available MESSIDOR-2 fundus image database. (http://latim.univ-brest.fr/indexfce0.html) Content The grades were adjudicated by a panel of three Retina Specialists. Acknowledgements References: [1] Decencière E, Etienne D, Xiwei Z, et al. Feedback on a publicly distributed image database: the Messidor database. Image Anal Stereol. 2014;33(3):231-234. doi:10.5566/ias.1155 [2] Krause, J. et al. Grader variability and the importance of reference standards for evaluating machine learning models for diabetic retinopathy. Ophthalmology (2018). doi:10.1016/j.ophtha.2018.01.034 [3] Gulshan, V. et al. Development and Validation of a Deep Learning Algorithm for Detection of Diabetic Retinopathy in Retinal Fundus Photographs. JAMA 316, 2402–2410 (2016) Inspiration Your data will be in front of the world's largest data science community. What questions do you want to see answered?