Datasets › TextOCR

TextOCR

Introduced by Amanpreet Singh et al. in TextOCR: Towards large-scale end-to-end reasoning for arbitrary-shaped scene text12 May 2021 archive 2025-07-28

TextOCR is a dataset to benchmark text recognition on arbitrary shaped scene-text. TextOCR requires models to perform text-recognition on arbitrary shaped scene-text present on natural images. TextOCR provides ~1M high quality word annotations on TextVQA images allowing application of end-to-end reasoning on downstream tasks such as visual question answering or image captioning.

Dataset statistics:

  • 28,134 natural images from TextVQA
  • 903,069 annotated scene-text words
  • 32 words per image on average

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 37 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

CC BY 4.0

Modalities archive 2025-07-28

Languages archive 2025-07-28

Variants archive 2025-07-28

  • TextOCR

1 variant name, as the archive lists them.

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