Dataset Groups Activity Stream CORe50 CORe50 is a video benchmark for continual learning, consisting of 164,866 128x128 images of 50 domestic objects belonging to 10 categories. BibTex: @dataset{Vincenzo_Lomonaco_and_Davide_Maltoni_and_Lorenzo_Pellegrini_2024, abstract = {CORe50 is a video benchmark for continual learning, consisting of 164,866 128x128 images of 50 domestic objects belonging to 10 categories.}, author = {Vincenzo Lomonaco and Davide Maltoni and Lorenzo Pellegrini}, doi = {10.57702/ex8pjxz9}, institution = {No Organization}, keyword = {'CORe50', 'Continual Learning', 'Continuous Object Recognition', 'Object Recognition', 'RGB images', 'benchmark', 'continual learning', 'continuous object recognition', 'hand pose estimation', 'image classification', 'object recognition', 'video benchmark'}, month = {dec}, publisher = {TIB}, title = {CORe50}, url = {https://service.tib.eu/ldmservice/dataset/core50}, year = {2024} }
