Chicago Fingerspelling in the Wild Data Set (ChicagoFSWild)





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.

The data set is available here.

More information on the data set can be found in the following paper (please cite it if you use the data):

B. Shi, A. Martinez Del Rio, J. Keane, J. Michaux, D. Brentari, G. Shakhnarovich, and K. Livescu
"American Sign Language fingerspelling recognition in the wild"
SLT 2018

Please note: This data set is being released publicly in the interest of improving digital interfaces for signers, communication between signers non-signers, and linguistic understanding of American Sign Language. If you see any of your own videos here and have any concerns with them being included, please contact the Principal Investigators: Karen Livescu (TTI-Chicago), Diane Brentari (U. Chicago), and Greg Shakhnarovich (TTI-Chicago).



Our previously collected, smaller (4-signer) studio data set is also available here.