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.

本数据集包含车载摄像头录制的真实驾驶场景视频，录制对象为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，其行为包括交谈、歌唱、静默与打哈欠。本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、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。该数据集包含两个视频子集，具体说明如下：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. 驾驶中交谈或歌唱；3. 驾驶中打哈欠。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盘上，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，包含351个由车载摄像头录制的驾驶员视频，涵盖了不同性别、眼镜佩戴情况和种族，视频分为后视镜和仪表盘两个视角子集，旨在支持疲劳驾驶监测算法的开发。数据集视频为640x480分辨率、30帧/秒的AVI格式，在自然光照条件下录制，适用于计算机视觉任务如面部和嘴部跟踪。