Yolov5m Smoke
A YOLOv5m-based object detection model specifically designed for smoke detection tasks.
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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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