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