Datasets › COCO-QA

COCO-QA

Introduced by Mengye Ren et al. in Exploring Models and Data for Image Question Answering archive 2025-07-28

COCO-QA is a dataset for visual question answering. It consists of:

  • 123287 images
  • 78736 train questions
  • 38948 test questions
  • 4 types of questions: object, number, color, location
  • Answers are all one-word.

Source: Exploring Models and Data for Image Question Answering

Benchmarks archive 2025-07-28

No leaderboard in the archive resolves to this dataset.

Papers archive 2025-07-28

No paper in the archive has a leaderboard row on this dataset; the archive counts 62 papers for it but never published that list.

Dataset loaders archive 2025-07-28

No loader listed in the archive.

Tasks archive 2025-07-28

License archive 2025-07-28

Unknown

Modalities archive 2025-07-28

Languages archive 2025-07-28

No language tagged.

Variants archive 2025-07-28

  • COCO-QA

1 variant name, as the archive lists them.

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