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cellphone-detection-yolov5s
MahekDharod/cellphone-detection-yolov5s
cellphone-detection-yolov5s is a machine learning model from MahekDharod. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as mit.
This model is trained to detect cellphone usage in classroom environments using YOLOv5s.
Access
Public
Updated Feb 27, 2026
Repo size
43.6 MB
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0
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Repo makeup
Click a slice to open those files.
.onnx28.8 MB · 66%
At a glance
- License
- mit
- Access
- Public
- Created
- Feb 27, 2026
- Updated
- Feb 27, 2026
- SHA
- 0eeed331
Model card
From the Hugging Face model README
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.
- License
- mit
- Created
- Feb 27, 2026
- Updated
- Feb 27, 2026