Segformer B0 Finetuned Flame
This model is an image segmentation model fine-tuned on the FLAME dataset based on the SegFormer architecture (b0 size), specifically designed for forest fire detection.
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Release Time : 5/12/2023
Model Overview
The model performs fire detection through image segmentation techniques and achieved an IOU score of 0.745 on the FLAME dataset after fine-tuning.
Model Features
Specialized for fire detection
An image segmentation model optimized specifically for forest fire scenarios.
Lightweight architecture
Utilizes the SegFormer-b0 architecture, balancing performance and efficiency.
Good performance
Achieved an IOU score of 0.745 on the FLAME test set.
Model Capabilities
Image segmentation
Fire region detection
Visual scene understanding
Use Cases
Disaster monitoring
Real-time forest fire monitoring
Real-time fire detection via drones or surveillance cameras.
Can accurately segment fire regions.
Post-fire assessment
Analyze the extent and severity of fire damage.
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