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MSCOCO

MSCOCO is a benchmark dataset for various computer vision tasks, including object detection, instance segmentation, and image captioning. It contains 83k training images, 40k validation images, and 81k test images, each associated with five captions.

Data and Resources

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Cite this as

Jun Yu, Jing Li, Zhou Yu, Qingming Huang (2024). Dataset: MSCOCO. https://doi.org/10.57702/xriudzva

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It is available for use in manuscripts, and will be published when the Dataset is made public.

Additional Info

Field Value
Created November 25, 2024
Last update November 25, 2024
Defined In https://doi.org/10.48550/arXiv.1905.07841
Citation
  • https://doi.org/10.18653/v1/D19-5627
Author Jun Yu
More Authors
Jing Li
Zhou Yu
Qingming Huang
Homepage https://cocodataset.org/