Face Skin Disease Classification Using CNN.

This project aims to classify different skin diseases using a Convolutional Neural Network (CNN). The model is built using TensorFlow and Keras and trained on a dataset of skin disease images.

Dataset

The dataset should be organized in the following directory structure: train/ blackhead/ eksim/ flek hitam/ herpes/ jerawat/ milia/ panu/ rosacea/ tineafasialis/

Each subdirectory should contain images corresponding to the respective class.

Requirements

• Python 3.6+
• TensorFlow 2.0+
• NumPy
• Pillow
• Matplotlib

You can install the required packages using the following command:

pip install tensorflow numpy pillow matplotlib
## To train the model
## To make predictions on a new image
sample output