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，采集自希腊帕特雷（Patras），记录了真实车辆中的驾驶员在夜间环境下的驾驶场景——夜间环境正是疲劳检测的核心应用场景。参与测试的驾驶员共21名，其中男性11名、女性10名，外貌特征各异（包括发色、胡须、是否佩戴眼镜等）。 本数据集分为两类视频： 1. 打哈欠（Yawning）类：每段视频中驾驶员会打3次哈欠，单段视频时长约15至25秒，共计107段； 2. 微睡眠（Microsleep）类：视频中驾驶员会出现交谈、四处张望以及微睡眠行为，单段视频时长约2分钟，共计21段。 该数据集可用于测试并对比夜间环境下的疲劳检测算法与模型，同时也可用于测试各类面部、嘴部及眼部追踪相关应用。 视频采用自然光照，辅以车辆内部最低亮度的车内灯光进行补光，以模拟城市干道的照明环境；出于安全考量，绝大多数视频采集于昏暗且车流稀少的道路。 所有视频均为MP4格式，帧率25帧/秒，无音频轨道，提供两种分辨率版本： - HDTV720：分辨率为1280（宽）×720（高），完整数据集大小约700MB（可在Kaggle平台获取）； - FULL：分辨率为1920（宽）×1080（高），完整数据集大小约1.6GB。

搜集汇总

背景与挑战

背景概述

NITYMED是一个包含130个夜间驾驶视频的数据集，用于疲劳检测研究，视频分为打哈欠（107个）和微睡眠（21个）两类，涵盖21名不同特征的驾驶员，提供两种分辨率，适用于算法测试和面部跟踪应用。该数据集在自然照明和模拟街道条件下拍摄，强调夜间环境下的实际应用价值。