Datasets for a data-centric image classification benchmark for noisy and ambiguous label estimation

Schmarje, Lars; Grossmann, Vasco; Zelenka, Claudius; Dippel, Sabine; Kiko, Rainer; Oszust, Mariusz; Pastell, Matti; Stracke, Jenny; Valros, Anna; Volkmann, Nina; Koch, Reinhard

Datasets for a data-centric image classification benchmark for noisy and ambiguous label estimation

2022

This is the official data repository of the Data-Centric Image Classification (DCIC) Benchmark. The goal of this benchmark is to measure the impact of tuning the dataset instead of the model for a variety of image classification datasets. Full details about the collection process, the structure and automatic download at Paper: https://arxiv.org/abs/2207.06214 Source Code: https://github.com/Emprime/dcic The license information is given below as download.

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