Create README.md

README.md

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+---
+tags:
+- image-classification
+- transfer-learning
+- keras
+- tensorflow
+- security
+library_name: tensorflow
+---
+
+# Fine-Tuned Weapon vs. Not-Weapon Classifier (VGG16)
+
+This repository contains a fine-tuned image classification model designed to distinguish between **"Weapon"** and **"Not-Weapon"** classes in images. The model was built using Transfer Learning on the VGG16 architecture.
+
+## Model Structure and Training
+
+* **Base Architecture:** VGG16 (pre-trained on ImageNet).
+* **Training Method:** Transfer Learning (Feature Extraction) followed by **Fine-Tuning**.
+* **File:** `weapon_classifier_final_tuned.keras` (This is the final, fine-tuned model file).
+* **Input Size:** Images must be resized to **(224, 224)** pixels before prediction.
+* **Output Activation:** Sigmoid (yielding a single probability value between 0 and 1).
+
+## How to Use the Model (Inference)
+
+To use this model, you need a Python environment with TensorFlow installed.
+
+### 1. Installation
+
+First, ensure you have the required libraries:
+
+```bash
+pip install tensorflow numpy Pillow