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Fire And Smoke
F
Fire And Smoke
Developed by SHOU-ISD
An object detection model based on YOLOv8, specifically designed for detecting fire and smoke scenarios.
Downloads 31
Release Time : 12/13/2023
Model Overview
This model is an object detection model based on the YOLOv8 architecture, primarily used for identifying and locating fire and smoke in images or videos. Suitable for security monitoring, disaster warning, and other scenarios.
Model Features
Efficient object detection
Based on the YOLOv8 architecture, it can quickly and accurately detect fire and smoke targets.
Specialized scenario optimization
Specifically optimized for fire and smoke scenarios to improve detection accuracy.
Model Capabilities
Fire detection
Smoke detection
Object localization
Use Cases
Security monitoring
Fire warning system
Used to monitor fire and smoke in surveillance cameras and issue timely alerts.
Helps reduce losses caused by fires.
Disaster management
Forest fire monitoring
Used for detecting forest fires in drone or satellite images.
Enables early detection of fires, reducing ecological damage.
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