Fire Detection UAV
FLAME dataset and deep learning models for fire detection in aerial imagery using UAVs, supporting classification and segmentation tasks.
What is Fire Detection UAV?
FLAME is a dataset and deep learning project for detecting fires in aerial imagery captured by drones. It provides labeled images and pre-trained models for both binary classification (fire vs. no fire) and semantic segmentation (pixel-level fire region identification). The project addresses the need for accurate, automated fire detection in aerial monitoring systems.
Researchers and developers working on computer vision applications for environmental monitoring, wildfire detection, and aerial imagery analysis using UAVs.
It offers a curated dataset specifically for aerial fire detection along with reproducible deep learning models, enabling faster prototyping and research compared to collecting and labeling custom datasets from scratch.
Overview
Aerial Imagery dataset for fire detection: classification and segmentation (Unmanned Aerial Vehicle (UAV))
Use Cases
Best For
- Training deep learning models for aerial fire detection
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