CIFAR-100N (Real-World Human Annotations)
Introduced by Wei et al. in Learning with Noisy Labels Revisited: A Study Using Real-World Human Annotations
This work presents two new benchmark datasets (CIFAR-10N, CIFAR-100N), equipping the training dataset of CIFAR-10 and CIFAR-100 with human-annotated real-world noisy labels that we collect from Amazon Mechanical Turk.
Benchmarks
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CIFAR-100N
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PGDF
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Papers
| Paper | Code | Results | Date | Stars |
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