Moriaki Yasuhara

Noisy Ostracods: A Fine-Grained, Imbalanced Real-World Dataset for Benchmarking Robust Machine Learning and Label Correction Methods

We present the Noisy Ostracods, a noisy dataset for genus and species classification of crustacean ostracods with specialists’ annotations. Over the 71466 specimens collected, 5.58% of them are estimated to be noisy (possibly problematic) at genus level. The dataset is created to addressing a real-w…