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.

本数据集包含由车载摄像头录制的视频，内容为真实车辆内具备多样面部特征（涵盖不同性别、是否佩戴眼镜/太阳镜、不同种族）的驾驶员的各类行为，包括交谈、歌唱、静默以及打哈欠。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，同时也可用于人脸及嘴部的识别与跟踪任务。所有视频均在自然且多变的光照条件下录制。视频分为两个数据集组，详情如下：第一组的摄像头安装于车辆前后视镜下方，共包含322段视频，涵盖3种不同场景：1. 正常驾驶（无交谈）；2. 驾驶过程中交谈或歌唱；3. 驾驶过程中打哈欠。每位受试者对应3至4段视频。第二组的摄像头安装于驾驶员仪表盘上，共包含29段视频，每位受试者对应1段视频，每段视频均包含静默驾驶、驾驶中交谈以及驾驶中打哈欠的场景。

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，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。