Datasets › HowMany-QA

HowMany-QA

Introduced by Alexander Trott et al. in Interpretable Counting for Visual Question Answering23 Dec 2017 archive 2025-07-28

HowMany-Qa is a object counting dataset. It is taken from the counting-specific union of VQA 2.0 (Goyal et al., 2017) and Visual Genome QA (Krishna et al., 2016).

Benchmarks archive 2025-07-28

All 1 leaderboard whose dataset resolves to this page shown (sort by any header). "First row" is the archive's own first row at snapshot, in the archive's row order; nothing here re-ranks and metric direction is not asserted.

First row (archive order)PaperCode
Object Counting HowMany-QA MoVie-ResNeXt Accuracy 64 MoVie: Revisiting Modulated Convolutions for Visual... facebookresearch/mmf 3 Compare

Papers archive 2025-07-28

2 shown of 2 papers with a leaderboard row on this dataset's benchmarks, newest first. The archive's own "papers using this dataset" list was never published, so this is the benchmark-backed subset; the archive's count for this dataset is 5. The Syntology column is from Syntology's graph (read 2026-09-24), stated per sample; it is not part of any archive number.

DateSamples run Syntology
MoVie: Revisiting Modulated Convolutions for Visual Counting and Beyond 1 2 24 Apr 2020 not harvested
TallyQA: Answering Complex Counting Questions 1 1 29 Oct 2018 not harvested

Dataset loaders archive 2025-07-28

No loader listed in the archive.

Tasks archive 2025-07-28

License archive 2025-07-28

No licence recorded in the archive. Absence here is not a statement about the dataset's terms.

Modalities archive 2025-07-28

Languages archive 2025-07-28

Variants archive 2025-07-28

  • HowMany-QA

1 variant name, as the archive lists them.

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