CORe50

CORe50 is a video benchmark for continual learning, consisting of 164,866 128x128 images of 50 domestic objects belonging to 10 categories.

Data and Resources

Cite this as

Vincenzo Lomonaco, Davide Maltoni, Lorenzo Pellegrini (2024). Dataset: CORe50. https://doi.org/10.57702/ex8pjxz9

DOI retrieved: December 2, 2024

Additional Info

Field Value
Created December 2, 2024
Last update December 2, 2024
Defined In https://doi.org/10.48550/arXiv.1907.03799
Citation
  • https://doi.org/10.48550/arXiv.2312.06710
  • https://doi.org/10.48550/arXiv.2404.01397
  • https://doi.org/10.48550/arXiv.1904.05767
  • https://doi.org/10.1109/WACV57701.2024.00178
  • https://doi.org/10.48550/arXiv.2112.08654
Author Vincenzo Lomonaco
More Authors
Davide Maltoni
Lorenzo Pellegrini
Homepage https://vlomonaco.github.io/core50