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.

本数据集为车载摄像头录制的视频集合，收录了真实车辆内具备多样化面部特征的驾驶员画面，涵盖不同性别、是否佩戴眼镜/太阳镜、不同种族群体，记录了驾驶员交谈、歌唱、静默以及打哈欠等行为。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，同时也可应用于人脸与嘴部的识别与跟踪任务。所有视频均在自然且多变的光照环境下录制。本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，共包含322段视频，对应三类驾驶场景：1. 正常驾驶（无交谈行为）；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。第二子组：摄像头安装于驾驶员仪表盘上，共包含29段视频，每段视频对应一位受试者，且完整涵盖静默驾驶、交谈驾驶以及打哈欠驾驶三类行为场景。

搜集汇总

背景与挑战

背景概述

YawDD是一个专注于驾驶员打哈欠检测的视频数据集，包含由车内摄像头录制的实际驾驶场景视频，涵盖不同性别、戴眼镜/太阳镜状态和种族的驾驶员在正常驾驶、说话、唱歌和打哈欠等多种行为下的表现。数据集分为两个子集：一个包含322个独立情境视频，另一个包含29个综合行为视频，所有视频均为640x480分辨率、30帧/秒的AVI格式，并在自然光照条件下录制，主要用于开发打哈欠检测、面部和嘴部识别与跟踪的算法模型。