Add fire detection model card

README.md

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+---
+library_name: keras
+pipeline_tag: image-classification
+tags:
+  - keras
+  - tensorflow
+  - computer-vision
+  - image-classification
+  - fire-detection
+  - wildfire-detection
+  - binary-classification
+  - transfer-learning
+---
+
+# Fire Detection Models
+
+A collection of trained deep learning models for binary fire detection.
+
+These models classify an input image into one of two classes:
+
+- **Fire**
+- **No Fire**
+
+The repository contains multiple CNN architectures trained as part of a broader deep learning project focused on fire detection and wildfire-related computer vision.
+
+## Models
+
+| Model | Architecture | Task |
+|---|---|---|
+| `Custom_CNN_binary_classification.keras` | Custom CNN | Fire / No Fire |
+| `efficientnetb0_binary_classification.keras` | EfficientNetB0 | Fire / No Fire |
+| `resnet50_binary_classification.keras` | ResNet50 | Fire / No Fire |
+| `vgg16_binary_classification_finalized.keras` | VGG16 | Fire / No Fire |
+
+## Model Format
+
+All models are saved using the Keras `.keras` format.
+
+```python
+import tensorflow as tf
+
+model = tf.keras.models.load_model(
+    "efficientnetb0_binary_classification.keras"
+)
+
+model.summary()
+```
+
+Replace the filename with the model you want to load.
+
+## Intended Use
+
+These models are intended for:
+
+- research
+- experimentation
+- educational purposes
+- model comparison
+- further fine-tuning
+- development of fire-detection applications
+
+## Limitations
+
+Model performance depends on the dataset, preprocessing pipeline, image quality, and deployment environment.
+
+The models should be independently evaluated on an appropriate test dataset before being used in real-world or safety-critical applications.
+
+## Project Context
+
+These models are part of a larger deep learning project containing:
+
+- fire detection
+- fire severity classification
+- feature extraction
+- dimensionality reduction
+- clustering
+- recommendation generation
+- supporting datasets and notebooks
+
+## 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.