Dataset Groups Activity Stream MiniImagenet The MiniImagenet dataset is a benchmark for few-shot learning, consisting of 60,000 images from 21 classes, each with 300 images. BibTex: @dataset{Claudio_Michaelis_and_Ivan_Ustyuzhaninov_and_Matthias_Bethge_and_Alexander_S_Ecker_2024, abstract = {The MiniImagenet dataset is a benchmark for few-shot learning, consisting of 60,000 images from 21 classes, each with 300 images.}, author = {Claudio Michaelis and Ivan Ustyuzhaninov and Matthias Bethge and Alexander S. Ecker}, doi = {10.57702/mztjqv1q}, institution = {No Organization}, keyword = {'Few-Shot Learning', 'Image Classification', 'MiniImagenet', 'few-shot learning', 'image classification', 'object recognition'}, month = {nov}, publisher = {TIB}, title = {MiniImagenet}, url = {https://service.tib.eu/ldmservice/dataset/miniimagenet}, year = {2024} }
