This repository hosts the source code, data, and resources for a project that focuses on detecting driver drowsiness using deep learning techniques. Drowsy driving is a critical issue that poses a threat to road safety. Leveraging the power of machine learning and computer vision, this project aims to create an intelligent system capable of real-time driver drowsiness detection.
The dataset belongs to the kaggle in this link. I splitted 70/30 for validation and used filp horizontal and rotation augmentation.
The model that I used was combination of transformers and resnet34 backbone.
For the training i used AdamW optimizer with 0.01 learning rate and weight decay: 0.001.
The result of the training was very good with fast convergence.
