This Complementary labeled MicroImageNet10 dataset contains 3 human-annotated complementary labels for all 5000 images in the training split of TinyImageNet200. The workers are from Amazon Mechanical Turk. We randomly sampled 4 different labels for 3 different annotators, so each image would have 3 (probably repeated) complementary labels.
For more details, please visit our github or paper.
Dataset Structure
Data Instances… See the full description on the dataset page: https://huggingface.co/datasets/ntucllab/clmicroimagenet10.