Datasets for a data-centric image classification benchmark for noisy and ambiguous label estimation
2022
Schmarje, Lars | Grossmann, Vasco | Zelenka, Claudius | Dippel, Sabine | Kiko, Rainer | Oszust, Mariusz | Pastell, Matti | Stracke, Jenny | Valros, Anna | Volkmann, Nina | Koch, Reinhard
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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Издатель CERN
Издатель arXiv
Эту запись предоставил Friedrich-Loeffler-Institut