Download
To download our collected noisy labels, click the link below:
The noisy label zip file include:
(1)
CIFAR-10_human.pt (human annotated labels on CIFAR-10 train images);
(2)
CIFAR-100_human.pt (human annotated labels on CIFAR-100 train images).
import torch
# For CIFAR-10N noisy labels
noise_label = torch.load('CIFAR-10_human.pt')
clean_label = noise_label['clean_label']
worst_label = noise_label['worse_label']
aggre_label = noise_label['aggre_label']
random_label1 = noise_label['random_label1']
random_label2 = noise_label['random_label2']
random_label3 = noise_label['random_label3']
# For CIFAR-100N noisy labels
noise_label = torch.load('CIFAR-100_human.pt')
clean_label = noise_label['clean_label']
noisy_label = noise_label['noisy_label']
For more details, please refer to a starter code at Github, including:
Noisy label sets, Dataloader of CIFAR-10N, CIFAR-100N and training with Cross Entropy loss.