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真实车辆场景下的驾驶员视频，涵盖具有多样化面部特征的受试者——包括不同性别（男性、女性）、是否佩戴眼镜/太阳镜以及不同种族群体，其行为状态涵盖交谈、歌唱、静默以及打哈欠。
该数据集主要用于开发与测试打哈欠检测相关的算法及模型，同时也可应用于面部及口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。
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，共包含322条视频，对应三类不同驾驶场景：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条视频。
第二组摄像头安装于驾驶员仪表盘上，共包含29条视频，每位受试者对应一条视频，且每条视频均覆盖静默驾驶、交谈驾驶以及打哈欠驾驶三种场景。