Published December 3, 2021 | Version 1.0
Dataset Open

Costarican Sign Language (LESCO) emergency-based signs dataset

Authors/Creators

  • 1. Instituto Tecnologico de Costa Rica

Description

This dataset was part of Juan Zamora-Mora's doctoral dissertation on the recognition of Costarican Sign Language (LESCO) in emergency situations from Aspen University. The dataset is composed of 39 signs. There are three videos for each sign on each folder. Videos have been cropped and are on average 1 second long.  This dataset contains a total of  mp4 117 videos. 

Notes

each folder represents a sign (the folder name is the label). There are 3 different signers performing the same sign at each folder.

Files

Files (431.4 MB)

Name Size
md5:956d5658ac57c5a4335babd532181f30
210.1 MB Download
md5:872ea6055520cf56c4c549c14968c597
221.3 MB Download