2021

RedCaps: web-curated image-text data created by the people, for the people

Desai, Karan, Kaul, Gaurav, Aysola, Zubin et al.

Understand

Large datasets of paired images and text have become increasingly popular for learning generic representations for vision and vision-and-language tasks.

  • Such datasets have been built by querying search engines or collecting HTML alt-text -- since web data is noisy, they require complex filtering pipelines to maintain quality.
  • We explore alternate data sources to collect high quality data with minimal filtering.
  • We introduce RedCaps -- a large-scale dataset of 12M image-text pairs collected from Reddit.

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