1 code implementation • 21 Jun 2023 • Lars Schmarje, Vasco Grossmann, Claudius Zelenka, Reinhard Koch
While numerous methods exist to solve classification problems within curated datasets, these solutions often fall short in biomedical applications due to the biased or ambiguous nature of the data.
1 code implementation • 22 May 2023 • Lars Schmarje, Vasco Grossmann, Tim Michels, Jakob Nazarenus, Monty Santarossa, Claudius Zelenka, Reinhard Koch
High-quality data is crucial for the success of machine learning, but labeling large datasets is often a time-consuming and costly process.
no code implementations • 13 Jul 2022 • Vasco Grossmann, Lars Schmarje, Reinhard Koch
High-quality data is a key aspect of modern machine learning.
1 code implementation • 13 Jul 2022 • Lars Schmarje, Vasco Grossmann, Claudius Zelenka, Sabine Dippel, Rainer Kiko, Mariusz Oszust, Matti Pastell, Jenny Stracke, Anna Valros, Nina Volkmann, Reinhard Koch
We propose a data-centric image classification benchmark with ten real-world datasets and multiple annotations per image to allow researchers to investigate and quantify the impact of such data quality issues.