Image Classification Datasets
image classification datasets that are used in my research.
Viewer • Updated • 77.3k • 314Note typically the control task
tanganke/sun397
Updated • 2
tanganke/stanford_cars
Viewer • Updated • 41Note includes seven corruption on test data
tanganke/resisc45
Viewer • Updated • 52Note includes seven corruption on test data
tanganke/eurosat
Updated • 16Note includes seven corruption on test data
svhn
Viewer • Updated • 1.54k • 9
tanganke/gtsrb
Viewer • Updated • 66Note includes seven corruption on test data
mnist
Viewer • Updated • 111k • 76tanganke/dtd
Viewer • Updated • 16
cifar100
Viewer • Updated • 8.37k • 24Note ```python from dataset import load_dataset dataset = load_dataset('cifar100') dataset = dataset.remove_columns('coarse_label').rename_columns({'img': 'image', 'fine_label': 'label'}) ```
dpdl-benchmark/oxford_flowers102
Viewer • Updated • 3 • 2timm/oxford-iiit-pet
Viewer • Updated • 333 • 3
1aurent/PatchCamelyon
Viewer • Updated • 14 • 4Note PCam in short. ```python from dataset import load_dataset dataset = load_dataset('1aurent/PatchCamlyon') classnames = ['lymph node', 'lymph node containing metastatic tumor tissue'] clip_templates = [lambda c: f'a histopathology slide showing {c}', lambda c: f'histopathology image of {c}'] ```
clip-benchmark/wds_fer2013
Viewer • UpdatedNote ```python from dataset import load_dataset dataset = load_dataset('clip-benchmark/wds_fer2013') dataset = dataset.remove_columns(['__key__', '__url__']).rename_columns({'jpg': 'image', 'cls': 'label') ```
tanganke/emnist_letters
Viewer • Updated • 6cifar10
Viewer • Updated • 94.5k • 46
food101
Viewer • Updated • 10.2k • 50Note ```python from dataset import load_dataset dataset = load_dataset('food101') dataset['test'] = dataset['validation'] del dataset['validation'] ```
fashion_mnist
Viewer • Updated • 7.04k • 40nateraw/rendered-sst2
Viewer • Updated • 1tanganke/kmnist
Viewer • Updated • 6 • 1tanganke/stl10
Viewer • Updated • 1