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Yolov5m Smoke

Developed by keremberke
A YOLOv5m-based object detection model specifically designed for smoke detection tasks.
Downloads 105
Release Time : 1/5/2023

Model Overview

This model is a medium-sized model (yolov5m) based on the YOLOv5 architecture, specifically optimized and trained for smoke detection tasks.

Model Features

High-precision detection
Achieves 99.47% mAP@0.5 accuracy on the validation set
YOLOv5 architecture
Based on the popular YOLOv5 object detection framework, balancing speed and accuracy
Specialized smoke detection
Specifically optimized for smoke detection tasks

Model Capabilities

Image object detection
Smoke recognition
Real-time detection

Use Cases

Security monitoring
Fire warning system
Used for smoke detection in surveillance cameras to achieve early fire warning
High-precision detection reduces false alarms
Industrial inspection
Factory smoke monitoring
Monitoring abnormal smoke emissions during industrial production processes
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