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A comprehensive dataset of static and dynamic signs for the Mexican Sign Language alphabet
Irvin Hussein Lopez-Nava1, Jesús Antonio Navarrete-López1, Ricardo Fernando Morfín-Chávez1
1Data Science and Machine Learning Lab, Centro de Investigación Científica y de Educación Superior de Ensenada (CICESE), Ensenada, Baja California, Mexico.
Abstract:
This data article presents two complementary datasets that together cover the complete 27-letter Mexican Sign Language (Lengua de Señas Mexicana, LSM) alphabet, encompassing both static and dynamic signs. The first dataset contains 279,716 JPEG images of the 21 static signs (letters A-I, L-P, R-U, W, Y) captured from 20 participants across three levels of hand-pose variation. The second dataset contains 1,200 MP4 videos of the 6 dynamic signs (letters J, K, Ñ, Q, X, Z) recorded from 20 different participants in two camera views (frontal and profile), with five repetitions per sign. Both datasets were collected under controlled conditions using a uniform green background and constant illumination, totaling approximately 8.4 GB. Each dataset includes predefined participant-based train/test partitions for signer-independent evaluation. The datasets have been used in prior work on fingerspelling recognition [3] and unified alphabet classification [4]. The data are publicly available in the Zenodo repository under a CC-BY 4.0 license.
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