Add fire severity model card

README.md

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+---
+library_name: keras
+pipeline_tag: image-classification
+tags:
+  - keras
+  - tensorflow
+  - computer-vision
+  - image-classification
+  - fire-detection
+  - fire-severity
+  - severity-classification
+  - multi-class-classification
+  - transfer-learning
+---
+
+# 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.
+
+```python
+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
+
+```text
+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.