Meta-VQA

The Meta-VQA dataset is a modification of the VQA v2.0 dataset for Visual-Question-Answering, composed of 1234 unique tasks (questions), split into 870 training tasks and 373 test tasks, for a total of 104112 image-answer pairs.

Data and Resources

Cite this as

Elvis Nava, Seijin Kobayashi, Yifei Yin, Robert K. Katzschmann, Benjamin F. Grewe (2024). Dataset: Meta-VQA. https://doi.org/10.57702/r8yzeujz

DOI retrieved: December 2, 2024

Additional Info

Field Value
Created December 2, 2024
Last update December 2, 2024
Author Elvis Nava
More Authors
Seijin Kobayashi
Yifei Yin
Robert K. Katzschmann
Benjamin F. Grewe
Homepage https://github.com/elvisnava/hyperclip