Dataset Groups Activity Stream Tiny-ImageNet-200 The dataset used in the paper is Tiny-ImageNet-200, which consists of 100k training, 10k validation, and 10k test images of dimensions 64x64x3. BibTex: @dataset{Ang_Li_and_Yifei_Wang_and_Yiwen_Guo_and_Yisen_Wang_2024, abstract = {The dataset used in the paper is Tiny-ImageNet-200, which consists of 100k training, 10k validation, and 10k test images of dimensions 64x64x3.}, author = {Ang Li and Yifei Wang and Yiwen Guo and Yisen Wang}, doi = {10.57702/mkvucone}, institution = {No Organization}, keyword = {'Data Augmentation', 'Deep Learning', 'Image Classification', 'ImageNet', 'Non-Robust Features', 'Robust Features', 'Tiny-ImageNet-200', 'convolutional neural networks', 'image classification'}, month = {dec}, publisher = {TIB}, title = {Tiny-ImageNet-200}, url = {https://service.tib.eu/ldmservice/dataset/tiny-imagenet-200}, year = {2024} }
