Yolov8m Smoke Detection
An object detection model based on YOLOv8m, specifically designed for smoke detection with high accuracy.
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Release Time : 10/18/2023
Model Overview
This model is an object detection model based on the YOLOv8 architecture, specifically designed to detect smoke in images or videos. Suitable for security monitoring, fire warning, and other scenarios.
Model Features
High Accuracy
Achieves an mAP@0.5 of 0.99474 in smoke detection tasks, demonstrating excellent performance.
Based on YOLOv8 Architecture
Utilizes the advanced YOLOv8m architecture, balancing detection speed and accuracy.
Easy to Use
Provides a simple Python API for quick integration into existing systems.
Model Capabilities
Image Smoke Detection
Real-time Object Detection
Video Smoke Detection
Use Cases
Public Safety
Early Fire Warning
Used to detect early smoke in surveillance cameras for fire warning.
Helps reduce losses caused by fires
Industrial Monitoring
Factory Smoke Detection
Monitors abnormal smoke conditions in factory environments.
Improves industrial safety levels
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