An UltraMNIST classification benchmark to train CNNs for very large images.

Gupta DK, Bamba U, Thakur A, Gupta A, Agarwal R, Sharan S, Demir E, Agarwal K, Prasad DK

DOI: 10.1038/s41597-024-03587-4
Published: 2024 Jul 12
Container: Scientific data
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.1038/s41597-024-03587-4,
  title = {An UltraMNIST classification benchmark to train CNNs for very large images.},
  author = {Gupta DK and Bamba U and Thakur A and Gupta A and Agarwal R and Sharan S and Demir E and Agarwal K and Prasad DK},
  year = {2024},
  journal = {Scientific data},
  doi = {10.1038/s41597-024-03587-4},
  url = {https://doi.org/10.1038/s41597-024-03587-4}
}

RIS

TY  - JOUR
TI  - An UltraMNIST classification benchmark to train CNNs for very large images.
AU  - Gupta DK
AU  - Bamba U
AU  - Thakur A
AU  - Gupta A
AU  - Agarwal R
AU  - Sharan S
AU  - Demir E
AU  - Agarwal K
AU  - Prasad DK
PY  - 2024
JO  - Scientific data
DO  - 10.1038/s41597-024-03587-4
UR  - https://doi.org/10.1038/s41597-024-03587-4
ER  -

APA

DK, G., U, B., A, T., A, G., R, A., S, S., E, D., K, A., & DK, P. (2024). An UltraMNIST classification benchmark to train CNNs for very large images.. Scientific data. https://doi.org/10.1038/s41597-024-03587-4

Source records

pubmed · retrieved 2026-11-10T16:49:30.005Z