WIT by Google AI

WIT by Google AI

A large dataset of image and text pairs for AI training.

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WIT Dataset is a comprehensive collection that includes over 37 million image and text pairs sourced from Wikipedia. This dataset is notable for its diverse coverage, spanning more than 100 languages.

With 11 million unique images linked to textual descriptions, it serves as a rich resource for developers and researchers working on machine learning projects.

By utilizing WIT Dataset, one can train models to better understand and analyze both visual and written content simultaneously. This capability opens doors to various applications, such as enhancing multilingual content analysis and improving image search results.

It plays a significant role in advancing artificial intelligence and supporting multimodal learning initiatives.


  • Train AI for image recognition
  • Enhance multilingual content analysis
  • Develop educational tools for language learning
  • Improve search engine image results
  • Create advanced captioning systems
  • Facilitate cross-lingual information retrieval
  • Support visual storytelling applications
  • Analyze social media image trends
  • Build applications for accessibility improvements
  • Conduct research on cultural representation in media
  • Massive collection of image-text pairs
  • Supports over 100 languages
  • Rich metadata for contextual understanding
  • Diverse set of real-world concepts
  • Challenging test sets for models

Educational tools Visual storytelling Cultural representation Image analysis Language learning Cross-lingual retrieval Search engine optimization Captioning systems Social media trends Accessibility improvements Research applications Dataset access Machine learning models Text analysis Image datasets
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