Mediapi-RGB is a bilingual corpus of French Sign Language (LSF) and written French in the form of subtitled videos, accompanied by complementary data (various representations, segmentation, vocabulary, etc.). It can be used in academic research for a wide range of tasks, such as training or evaluating sign language (SL) extraction, recognition or translation models.

To build this corpus, we used videos from Média'Pi!, a bilingual online media with journalistic-type content in LSF with French subtitles. We collected 1230 videos dating from September 2017 to January 2022, representing a total of 86h. Based on the subtitles, we temporally segmented the videos into 50084 video segments (or extracts). We also automatically cropped the signer and harmonised the segments in terms of size (444x444) and frequency (25fps).


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