YawDD: Yawning Detection Dataset

A dataset of videos, recorded by an in-car camera, of drivers in an actual car with various facial characteristics (male and female, with and without glasses/sunglasses, different ethnicities) talking, singing, being silent, and yawning. It can be used primarily to develop and test algorithms and models for yawning detection, but also recognition and tracking of face and mouth. The videos are taken in natural and varying illumination conditions. The videos come in two sets, as described next: In the first set, a camera is installed under the front mirror of the car. This set provides 322 videos in 3 different situations: 1- normal driving (no talking), 2- talking or singing while driving, and 3- yawning while driving. Each subject has 3 or 4 videos.In the second set, the camera is installed on the driver’s dash. This set provides 29 videos, one for each subject, and each video containing scenes with driving silently, driving while talking, and driving while yawning.

搜集汇总

背景与挑战

背景概述

YawDD是一个用于打哈欠检测的视频数据集，包含由车载摄像头录制的驾驶员视频，涵盖不同面部特征和自然照明条件。数据集分为两部分：第一部分有322个视频，每个视频对应一个驾驶情境（如正常驾驶、说话、打哈欠）；第二部分有29个视频，每个视频包含多个情境。视频格式为640x480分辨率、30 fps的AVI文件，主要用于开发和测试打哈欠检测算法，也可用于面部和嘴部识别与跟踪。