Published February 4, 2025 | Version 1.0

DrowsyFace Profiles

  • 1. ROR icon Autonomous University of Queretaro

Description

The dataset includes three distinct subsets of facial images: (1) grayscale images, (2) lightly processed images, and (3) images that have only undergone region of interest (ROI) extraction. In all cases, facial regions were isolated to ensure a consistent focus on relevant features. The dataset includes facial representations in different profiles, capturing visual indicators associated with drowsiness, as well as control samples that show no signs of drowsiness. Furthermore, each subset is accompanied by annotations in the Pascal VOC format, which provides structured metadata for object detection and localization tasks. This dataset is intended for research in computer vision, machine learning, and human fatigue detection.

Files

Dataset_Complete.zip

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md5:e30ac1b3c088a6275ae09990531eec8a
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Additional details

Related works

Continues
Conference paper: 10.1109/CCE62852.2024.10771046 (DOI)