Real-World Human Annotations
Introduced in Learning with Noisy Labels Revisited: A Study Using Real-World Human Annotations2021
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.
