File	Purpose	Accuracy
`yolo_safedrive.pt`	YOLOv8-nano, 9-class detection	mAP50=0.940
`mobilenet_webcam.pth`	MobileNetV3 eye classifier (webcam fine-tuned)	97.99%
`mobilenet_best.pth`	MobileNetV3 eye classifier (lab-trained)	97.99%
`drowsiness_cnn_best.pth`	Custom CNN eye classifier	96.74%
`face_landmarker.task`	MediaPipe face landmark model	—

Classes (YOLO)

eye_open, eye_half, eye_closed, mouth_open, mouth_closed, phone, cigarette, seatbelt_on, seatbelt_off

Usage

pip install safedrive-ai