most citedIs one annotation enough? A data-centric image classification benchmark for noisy and ambiguous label estimation

11 citations · 11 across the 1 of their papers we have counts for

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1 paper

cs.CV2022★ 11 cited

Is one annotation enough? A data-centric image classification benchmark for noisy and ambiguous label estimation

Lars Schmarje, Vasco Grossmann, Claudius Zelenka +8

High-quality data is necessary for modern machine learning. However, the acquisition of such data is difficult due to noisy and ambiguous annotations of humans. The aggregation of…