| # 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) | |