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View All on GitHubReal-time facial expression and driver fatigue monitoring with MiniXception architecture, Grad-CAM interpretability, active learning photo booth, and edge-optimized inference.
Real-time facial expression and driver fatigue monitoring with MiniXception architecture, Grad-CAM interpretability, active learning photo booth, and edge-optimized inference.
Real-time facial expression and driver fatigue monitoring with MiniXception architecture, Grad-CAM interpretability, active learning photo booth, and edge-optimized inference.
Real-time facial expression and driver fatigue monitoring with MiniXception architecture, Grad-CAM interpretability, active learning photo booth, and edge-optimized inference.