README.md

metadata

license: apache-2.0
language:
  - en
  - tr
metrics:
  - accuracy
base_model:
  - microsoft/resnet-50
pipeline_tag: image-classification
library_name: keras
tags:
  - image-classification
  - resnet50
  - transfer-learning

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:

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)