Published April 15, 2024 | Version 2.1

Face2Text

  • 1. University of Malta
  • 2. Univeristy of Malta
  • 3. Utrecht University

Description

Face2Text is an ongoing project to collect a data set of natural language descriptions of human faces. A randomly selected sample of images from the CelebA data set were used and human annotators were given a random sample of faces to describe.

Notes (English)

18,690 descriptions among 12,227 images. Funded by the University of Malta Research Fund award and by the MCST R&I FUSION Programme.

Files

face2text_v2.1.zip

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