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数据集，涵盖具有各类面部特征（含不同性别、是否佩戴眼镜/太阳镜、不同种族）的真实驾车者在驾车过程中交谈、歌唱、保持静默以及打哈欠的画面。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，同时也可应用于人脸及嘴部的识别与追踪任务。所有视频均在自然且多变的光照条件下录制。数据集分为两个子组，详情如下：第一子组的摄像头安装于车辆前后视镜下方，共包含322段视频，每段对应一种特定场景：1. 正常驾车（无交谈行为）；2. 驾车时交谈或歌唱；3. 驾车时打哈欠。每位受试者对应3至4段视频。第二子组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车、驾车时交谈以及驾车时打哈欠三种场景。

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，包含由车内摄像头录制的驾驶员视频，涵盖正常驾驶、说话/唱歌和打哈欠等多种状态。数据集分为两个子集：第一个子集有322个视频，每个视频对应单一驾驶情况；第二个子集有29个视频，每个视频包含所有驾驶情况。视频具有多样性（如参与者性别、眼镜使用和种族）和自然光照条件，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任务。