Cellphone Detection using YOLOv5s
This model is trained to detect cellphone usage in classroom environments using YOLOv5s.
Task
Object Detection (Cellphone detection in classroom images and video frames)
Model Details
- Architecture: YOLOv5s
- Framework: PyTorch
- Export Format: ONNX
- Classes: Cellphone
Model Files
- best.pt → PyTorch training weights
- best.onnx → Deployment-ready model for OpenCV-DNN
Use Case
This model can be used in classroom monitoring systems to identify students using mobile phones during lectures.
