MahekDharod/cellphone-detection-yolov5s

By MahekDharod · ↓ 0 · ♥ 0 · Updated 2026-02-27

What's in this repo

This page lists the files in MahekDharod/cellphone-detection-yolov5s, including best.onnx.

1 ONNX models (.onnx files)
4 files, including 1 .md, 1 .onnx, 1 .pt
Last updated 2026-02-27

ONNX files

File	Size	Download
best.onnx	—	Download

How to use

These ONNX files can be loaded with ONNX Runtime. To inspect a model graph, upload the file to the Netron viewer. Download links point to the original files on Hugging Face.

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.

Model info

onnx license:mit region:us

↓ 0 ♥ 0

Created: 2026-02-27

Updated: 2026-02-27

View on Hugging Face

Files (4)

.gitattributes

README.md

best.onnx ONNX

yolov5s.pt

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