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, the camera is installed under the front mirror of the car. This set provides 322 videos, each for a different situation: 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 all of driving silently, driving while talking, and driving while yawning.本数据集包含由车载摄像头录制的视频片段，采集自真实车辆中具备多样化面部特征的驾驶员——涵盖不同性别、是否佩戴眼镜/太阳镜以及不同种族的个体，其行为包括交谈、歌唱、静默与打哈欠。该数据集主要用于开发和测试打哈欠检测相关的算法与模型，同时也可用于面部及嘴部的识别与追踪任务。所有视频均采集于自然且多变的光照环境中。数据集分为两个子组，详情如下：第一子组：摄像头安装于车辆前后视镜下方。该子组共包含322段视频，每段对应一种不同场景：1. 正常驾驶（无交谈）；2. 驾驶途中交谈或歌唱；3. 驾驶途中打哈欠。每位受试者对应3至4段视频。第二子组：摄像头安装于驾驶员仪表盘上。该子组共包含29段视频，每段对应一位受试者，且每段视频均涵盖静默驾驶、驾驶中交谈以及驾驶中打哈欠三种场景。

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，专注于驾驶员疲劳监测。它包含351个视频（分为两个子集），录制于真实车辆中，涵盖不同性别、眼镜佩戴情况和种族的驾驶员，视频在自然光照下拍摄，包括正常驾驶、交谈和打哈欠等多种情境。该数据集主要用于开发和测试打哈欠检测算法，也可支持面部和嘴部识别与跟踪的研究，具有未标注但易于识别的特点。