Fire Severity Classification Models

A collection of trained deep learning models for three-class fire severity classification.

The models classify fire images into three severity categories:

Mild
Moderate
Severe

Multiple CNN architectures are included for model comparison.

Models

Model	Architecture	Task
`efficientnetb0_tri_classification.keras`	EfficientNetB0	Mild / Moderate / Severe
`resnet50_tri_classification.keras`	ResNet50	Mild / Moderate / Severe
`xception_tri_classification_finalized.keras`	Xception	Mild / Moderate / Severe

Model Format

All models are saved using the Keras .keras format.

import tensorflow as tf

model = tf.keras.models.load_model(
    "efficientnetb0_tri_classification.keras"
)

model.summary()

Replace the filename with the model you want to load.

Classification Task

Input Image
     |
     v
CNN Model
     |
     v
Fire Severity
     |
     +---- Mild
     |
     +---- Moderate
     |
     +---- Severe

Intended Use

These models are intended for:

research
experimentation
educational purposes
model comparison
further fine-tuning
fire severity analysis

Limitations

Model performance depends on the training dataset, preprocessing pipeline, image quality, class distribution, and deployment environment.

These models should be independently evaluated before being used in real-world or safety-critical applications.

Project Context

These models are part of a larger deep learning project involving fire detection, fire severity classification, feature extraction, dimensionality reduction, clustering, and recommendation generation.

License

No standardized open-source license has been specified for this repository.

Please refer to the original project and dataset terms before redistribution or commercial use.

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