[r/ML] [D] Real-time Student Attention Detection: ResNet vs Facial Landmarks - Which approach for resource-constrained deployment?

Summary

This discussion centers on real-time student attention detection (engaged, confused, bored) in classrooms, specifically evaluating computer vision approaches for resource-constrained deployments. The core dilemma is choosing between ResNet models and a facial landmark-based method. The snippet details the facial landmark approach, which uses 68 coordinate points to map key facial features like the jawline, eyes, and mouth.

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