Monocular driver monitoring under different lighting conditions

Compressed file with all videos: Small Videos (ZIP, 54.6 MB)
None compressed BMP format: Full Dataset (ZIP, 2.8 GB)
These 6 video sequences were recorded for different drivers and can be used for evaluating eye-status detection:

SEQUENCE NAME	TOTAL FRAMES
Video 1	–

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Video 2	–

SEQUENCE NAME	TOTAL FRAMES
Video 3	–

SEQUENCE NAME	TOTAL FRAMES
Video 4	–

SEQUENCE NAME	TOTAL FRAMES
Video 5	–

SEQUENCE NAME	TOTAL FRAMES
Video 6	–

Reference:

Michal Daniluk, Mahdi Rezaei, Radu Nicolescu, and Reinhard Klette. Eye status based on eyelid detection: A driver assistance system. In Proc. Int. Conf. Computer Vision Graphics (ICCVG), LNCS, Springer, 2014.