Image Classification
Keras
CNN / README.md
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metadata
license: apache-2.0
  1. Project Title and Description
  2. Purpose
  3. Installation Instructions
  4. Usage Instructions
  5. Model Architecture
  6. Training Details
  7. Evaluation
  8. Examples
  9. Contributing
  10. License

CNN Image Classifier

Description

This project provides a Convolutional Neural Network (CNN) model for classifying images as either 'real' or 'fake'. The model is based on the ResNet50 architecture and has been fine-tuned for binary classification tasks.

Purpose

The CNN model is designed to classify images into two categories: 'real' and 'fake'. This can be useful for various applications, including detecting AI-generated content.

Installation

Ensure you have the following dependencies installed:

pip install tensorflow numpy opencv-python scikit-learn