sunnyiisc/Fire-Detection-from-FLAME-Dataset
Deep Learning model implementation for Fire detection both classification and segmentation from the FLAME dataset.
This helps identify fires in aerial imagery and videos captured by drones or UAVs. It takes raw drone footage as input and outputs either a confirmation that fire is present or a visual mask highlighting the exact areas where fire has been detected. This is intended for fire safety managers, emergency responders, or forestry professionals monitoring remote areas.
No commits in the last 6 months.
Use this if you need to automatically detect and pinpoint fires using drone-captured images or videos.
Not ideal if you need a real-time, deployable system for immediate operational alerts without custom integration.
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Language
Python
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Last pushed
Dec 12, 2022
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