Red Mini-ImageNet

The dataset used in this paper is also Red Mini-ImageNet, which is a benchmark for evaluating the robustness of image classification models to label noise. It contains 50,000 training images and 5,000 test images of size 224x224 pixels with 100 classes.

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Cite this as

Ragav Sachdeva, Filipe Rolim Cordeiro, Vasileios Belagiannis, Ian Reid, Gustavo Carneiro (2024). Dataset: Red Mini-ImageNet. https://doi.org/10.57702/ixur43ag

DOI retrieved: December 16, 2024

Additional Info

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Created December 16, 2024
Last update December 16, 2024
Defined In https://doi.org/10.48550/arXiv.2103.11395
Author Ragav Sachdeva
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Filipe Rolim Cordeiro
Vasileios Belagiannis
Ian Reid
Gustavo Carneiro
Homepage https://arxiv.org/abs/2003.04297