GitHub / LybahNisar / Smoke_and_Fire_Classification_using_Transfer_Learning

This project uses transfer learning with EfficientNetB0 to classify images into "Smoke" and "Fire" categories, achieving ~76% accuracy. The model leverages fine-tuning, feature extraction, and data augmentation, with high precision for "Fire" and perfect recall for "Smoke."

JSON API: http://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/LybahNisar%2FSmoke_and_Fire_Classification_using_Transfer_Learning

Topics: artificial-intelligence, convolutionalneuralnetworks, deep-learning, efficientnet, firedetection, machine-learning, python, smokedetection, tensorflow, transfer-learning

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