region:us
VQA is a new dataset containing open-ended questions about images. These questions require an understanding of vision, language and commonsense knowledge to answer.
@InProceedings{VQA,
author = {Stanislaw Antol and Aishwarya Agrawal and Jiasen Lu and Margaret Mitchell and Dhruv Batra and C. Lawrence Zitnick and Devi Parikh},
title = {VQA: Visual Question Answering},
booktitle = {International Conference on Computer Vision (ICCV)},
year = {2015},
}
Checks with https://visualqa.org/download.html:
- Num train questions: 443,757
- Num val questions: 214,354
- Num test questions: 447,793

- Num train answers: 4,437,570
- Num val answers: 2,143,540

-  Num train images: 82,783
- Num val images: 40,504
- Num test images: 81,434

testdev is not mentionned:
- Num questions: 107,394
- Num images: 36,807