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素材，采集自真实车辆内具有多样面部特征的驾驶员——涵盖不同性别（男、女）、是否佩戴眼镜/太阳镜、不同种族群体，其行为包括交谈、歌唱、静默及打哈欠。该数据集主要用于开发与测试打哈欠检测相关的算法与模型，同时也可用于面部及口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。本数据集包含两个视频子集，详情如下：第一个子集的摄像头安装于车辆前后视镜下方，共包含322段视频，每段对应一种驾驶场景：1. 常规驾驶（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。第二个子集的摄像头安装于驾驶员仪表台上，共包含29段视频，每位受试者对应一段视频，且每段视频均涵盖静默驾驶、交谈驾驶以及打哈欠驾驶三种场景。

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，包含351段不同驾驶员在多种状态下的车内视频。数据集分为两部分：一部分是322段来自前视镜摄像头的视频，每段展示不同驾驶状态；另一部分是29段来自仪表盘摄像头的长视频，包含多种驾驶行为。视频涵盖不同性别、是否戴眼镜/太阳镜等特征的驾驶员，适用于打哈欠检测、面部和嘴部识别跟踪算法的开发。