efficient-compact-fire-detection-cnn

efficient-compact-fire-detection-cnn

NeelBhowmik

Real-time fire detection in image/video/webcam using a convolutional neural network (deep learning) - from our ICMLA 2020 paper (Thomson / Bhowmik / Breckon)

57 Stars
18 Forks
57 Watchers
Python Language
mit License
Cost to Build
$19.3K
Market Value
$36.5K

Growth over time

2 data points  ·  2023-03-01 → 2025-06-01
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What is the NeelBhowmik/efficient-compact-fire-detection-cnn GitHub project? Description: "Real-time fire detection in image/video/webcam using a convolutional neural network (deep learning) - from our ICMLA 2020 paper (Thomson / Bhowmik / Breckon)". Written in Python. Explain what it does, its main use cases, key features, and who would benefit from using it.

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