# 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)