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About Fire Detection
This document proposes an improved approach for fire detection using deep learning models. It compares traditional CNN models to two deep CNN models - VGG16 and MobileNet. The deep CNN models are trained on large datasets using transfer learning and achieve higher accuracy for fire detection compared to traditional CNN. Testing results show that MobileNet achieves over 98% accuracy for fire detection on validation data within 10 epochs of training.
Detailed Information
| Author: | ['B G Sumith Kumar '] |
|---|---|
| Publication Year: | 2021 |
| Pages: | 20 |
| Language: | English |
| Format: | |
| Price: | FREE |
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