MIP, Kiel University; University of Helsinki; Rzeszow University of Technology; Luke, Natural Resources Institute Finland; ITW, University Bonn; LOV, Sorbonne Université; ITT, Friedrich-Loeffler-Institut
Lars Schmarje, Vasco Grossmann, Claudius Zelenka, Sabine Dippel, Rainer Kiko, Mariusz Oszust, Matti Pastell, Jenny Stracke, Anna Valros, Nina Volkmann, Reinhard Koch
dataset;benchmark;ambiguity;noisy
Is one annotation enough? - A data-centric image classification benchmark for noisy and ambiguous label estimation