Datasets › ChicagoFSWild

ChicagoFSWild

Introduced by Bowen Shi et al. in Fingerspelling recognition in the wild with iterative visual attention28 Aug 2019 archive 2025-07-28

This is the home of a collaborative data collection effort by U. Chicago and TTI-Chicago researchers. This is to our knowledge the first collection of American Sign Language fingerspelling data "in the wild," that is in naturally occurring (online) video.

The ChicagoFSWild data set contains 7304 ASL fingerspelling sequences signed by 160 signers, carefully annotated by students who have studied ASL.

Benchmarks archive 2025-07-28

All 1 leaderboard whose dataset resolves to this page shown (sort by any header). "First row" is the archive's own first row at snapshot, in the archive's row order; nothing here re-ranks and metric direction is not asserted.

First row (archive order)PaperCode
Sign Language Recognition ChicagoFSWild HandReader_RGB_KP CER (%) 27.1 HandReader: Advanced Techniques for Efficient... ai-forever/handreader 3 Compare

Papers archive 2025-07-28

1 shown of 1 paper with a leaderboard row on this dataset's benchmarks, newest first. The archive's own "papers using this dataset" list was never published, so this is the benchmark-backed subset; the archive's count for this dataset is 11. The Syntology column is from Syntology's graph (read 2026-09-24), stated per sample; it is not part of any archive number.

DateSamples run Syntology
HandReader: Advanced Techniques for Efficient Fingerspelling Recognition 1 3 15 May 2025 not harvested

Dataset loaders archive 2025-07-28

No loader listed in the archive.

Tasks archive 2025-07-28

License archive 2025-07-28

None

Modalities archive 2025-07-28

Languages archive 2025-07-28

Variants archive 2025-07-28

  • ChicagoFSWild

1 variant name, as the archive lists them.

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