NITYMED

130 videos are available, captured in Patras, Greece, displaying drivers in real cars, moving under nighttime conditions where drowsiness detection is more important.The participating drivers are: 11 males and 10 females with different features (hair color, beard, glasses, etc). The videos are split in 2 categories:Yawning: the drivers yawn 3 times in each video lasting approximately 15-25 seconds (107 videos) Microsleep: the drivers talk, look around and have microsleeps in videos lasting approximately 2 minutes (21 videos). This dataset can be used to test and compare algorithms and models for drowsiness detection under nighttime conditions. Other face, mouth and eye tracking applications can also be tested using this dataset. The illumination is natural with a slight boost by the lowest interior car lights in order to simulate the lighting conditions in an avenue since most of the videos were captured on a dark, not crowded road for safety reasons.All videos are mp4, 25 frames/sec, are mute and are offered in two resolutions:HDTV720: 1280 (width)X720 (height), total dataset size: ~700MB (available in Kaggle) FULL: 1920 (width)X1080 (height), total dataset size: ~1.6GB

本数据集包含130段视频，均拍摄于希腊帕特雷（Patras），记录了真实轿车内的驾驶员在夜间环境下的驾车状态——此时疲劳驾驶检测的重要性更为凸显。参与本次数据集拍摄的驾驶员共计21名，其中男性11名、女性10名，外貌特征各异，涵盖不同发色、是否蓄须、是否佩戴眼镜等。视频分为两类：打哈欠类：每段视频时长约15至25秒，驾驶员在每段视频中完成3次打哈欠动作，共计107段；微睡眠（microsleep）类：视频时长约2分钟，驾驶员出现交谈、四处张望以及微睡眠行为，共计21段。本数据集可用于测试并对比夜间场景下的疲劳驾驶检测算法与模型，同时也可用于测试人脸、嘴部及眼部追踪相关的各类应用。视频光照采用自然光，并辅以车内最低档位的灯光以模拟城市干道的照明环境；出于安全考虑，绝大多数视频拍摄于昏暗且车流稀少的道路。所有视频均采用mp4格式，帧率为25帧/秒，无音频轨，提供两种分辨率版本：HDTV720：1280（宽）×720（高），数据集总容量约700MB（可在Kaggle平台获取）；FULL：1920（宽）×1080（高），数据集总容量约1.6GB

搜集汇总

背景与挑战

背景概述

NITYMED数据集包含130个夜间驾驶场景下的驾驶员视频，分为打哈欠和微睡眠两类，用于测试疲劳检测算法。视频由21名不同特征的驾驶员参与，提供两种分辨率（HDTV720和FULL），适用于人脸、嘴部和眼部追踪应用。