yn

Food detection dataset

The drowsiness detection system is trained and evaluated on the famous Nation Tsing Hua University Driver Drowsiness Detection (NTHU-DDD) dataset and we obtain an accuracy of 94.46%, which outperforms most existing fatigue detection models. CLAHE, multi-features, two-stream, attention mechanism, fatigue detection I Introduction.

Web. Web. 2978 open source Food images plus a pre-trained Food detection model and API. Created by Sally Robotics.

Web.

qt

rf

on

. Web.

Web.

Web.

fi