COCO Dataset

The COCO dataset is a large-scale dataset for object detection, semantic segmentation, and captioning. It contains 80 object categories and 1,000 image instances per category, with 330,000 images for training, 150,000 images for validation, and 150,000 images for testing.

Data and Resources

Cite this as

Zanyar Zohourianshahzadi, Jugal K. Kalita (2024). Dataset: COCO Dataset. https://doi.org/10.57702/h82873pp

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.1806.06422
Citation
  • https://doi.org/10.48550/arXiv.2311.08646
  • https://doi.org/10.48550/arXiv.2401.10229
  • https://doi.org/10.48550/arXiv.2105.11088
  • https://doi.org/10.48550/arXiv.2205.09949
  • https://doi.org/10.1109/HCCAI49649.2020.00009
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  • https://doi.org/10.48550/arXiv.1903.06593
  • https://doi.org/10.48550/arXiv.2402.02555
  • https://doi.org/10.1080/08839514.2022.2032924
  • https://doi.org/10.48550/arXiv.1908.06837
  • https://doi.org/10.48550/arXiv.2108.09551
  • https://doi.org/10.48550/arXiv.2305.01165
  • https://doi.org/10.48550/arXiv.2404.19752
  • https://doi.org/10.48550/arXiv.2406.08074
  • https://doi.org/10.48550/arXiv.2211.05638
Author Zanyar Zohourianshahzadi
More Authors
Jugal K. Kalita
Homepage https://cocodataset.org/