>To score points in this competition, participants should submit a set of image-label pairs that will be confirmed by human-in-the-loop raters, whose votes shou

>To score points in this competition, participants should submit a set of image-label pairs that will be confirmed by human-in-the-loop raters, whose votes should be in disagreement with the average machine score for the label over a number of machine learning models. haven't checked since then, in 2016 GoogLeNet won the Large Scale Visual Recognition Challenge 2014 (ILSVRC2014), and among misclassified by the model images was this image labeled "hay", and the model's predictions were: sorrel, hartebeest, Arabian camel, dromedary, Camelus dromedarius, warthog, gazelle. http://cs.stanford.edu/people/karpathy/ilsvrc/val/ILSVRC2012_val_00042652.JPEG http://cs.stanford.edu/people/karpathy/ilsvrc/val/ILSVRC2012...