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+# ALSATIX ResNet50 Model
+
+This model is trained to classify images into 5 categories:
+
+1. **Alkol**: Alcohol-related images
+2. **Normal**: Regular images
+3. **NSFW**: Not Safe for Work images
+4. **Silah**: Weapon-related images
+5. **Tutun**: Tobacco-related images
+
+## Model Architecture
+- Base: ResNet50 pre-trained on ImageNet
+- Custom top layers: Dense (256 units), Dropout (0.5), Output (5 classes)
+
+## Usage
+
+To use this model for image classification:
+
+```python
+from transformers import TFAutoModelForImageClassification, AutoImageProcessor
+
+model = TFAutoModelForImageClassification.from_pretrained("iammbrn/alsatix_image_control_model")
+processor = AutoImageProcessor.from_pretrained("iammbrn/alsatix_image_control_model")
+
+# Preprocess your image
+image = processor(image, return_tensors="pt")
+predictions = model(**image)