Datasets › Icon645

Icon645

Introduced by Pan Lu et al. in IconQA: A New Benchmark for Abstract Diagram Understanding and Visual Language Reasoning25 Oct 2021 archive 2025-07-28

Icon645 is a large-scale dataset of icon images that cover a wide range of objects:

  • 645,687 colored icons
  • 377 different icon classes

These collected icon classes are frequently mentioned in the IconQA questions. In this work, we use the icon data to pre-train backbone networks on the icon classification task in order to extract semantic representations from abstract diagrams in IconQA. On top of pre-training encoders, the large-scale icon data could also contribute to open research on abstract aesthetics and symbolic visual understanding.

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 1 paper 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

CC BY-NC-SA 4.0

Modalities archive 2025-07-28

Languages archive 2025-07-28

No language tagged.

Variants archive 2025-07-28

  • Icon645

1 variant name, as the archive lists them.

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