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Real-Life Drowsiness Dataset (RLDD)
The Real-Life Drowsiness Dataset (RLDD) comprises approximately 30 hours of RGB video footage from 60 healthy participants. -
Self-built Dataset
A self-built dataset comprising driver's face videos obtained from the surveillance systems of regularly operating buses in China, as well as simulated driving videos recorded... -
Driver Drowsiness Detection Based On Driver Temporal Behavior Using a New Dev...
The dataset for YOLOv3 training and the dataset for LSTM training. -
Custom Dataset
The authors created a custom dataset for their experiment, consisting of 33,000 images of 320 possible object-image combinations, with 10 possible shapes, 8 possible colors, 2...