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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.
18,690 descriptions among 12,227 images. Funded by the University of Malta Research Fund award and by the MCST R&I FUSION Programme.
caption generation, Artificial intelligence, image-to-text, faces, Natural language processing, image description generation, Information and computing sciences, vision and language
caption generation, Artificial intelligence, image-to-text, faces, Natural language processing, image description generation, Information and computing sciences, vision and language
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| downloads | 36 |

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