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.

本数据集包含车载摄像头录制的视频，拍摄场景为真实车辆内的驾驶员，涵盖不同面部特征群体：包括男性与女性、佩戴或未佩戴眼镜/太阳镜者，以及不同种族人群；视频内容涵盖驾驶员交谈、歌唱、静默与打哈欠等状态。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、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。本数据集包含两组视频，详情如下：第一组摄像头安装于车辆前后视镜下方，共收录322段视频，涵盖3种驾驶场景：1. 正常驾驶（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。第二组摄像头安装于驾驶员仪表盘上，共收录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、交谈驾驶与打哈欠驾驶三种场景。

搜集汇总

背景与挑战

背景概述

YawDD是一个包含驾驶员在车内各种行为（如交谈、唱歌、打哈欠）的视频数据集，用于打哈欠检测和人脸识别算法的开发。数据集分为两个子集，分别由不同位置的摄像头拍摄，共包含351个视频，涵盖了多样化的驾驶员特征和驾驶场景。