Lung_Disease_Detection

Deep Learning Lung Disease Detection Project

Overview

This project involves building a deep learning model for image classification using the ResNet50 architecture. The dataset used for training and testing the model consists of images categorized into different classes. The main goal is to predict the class labels of images accurately.

Project Structure

• model_resnet50.h5: The trained ResNet50 model saved in HDF5 format.
• README.txt: Documentation providing an overview of the project, instructions, and details about the code and model.

Requirements

• Python 3.x
• TensorFlow
• NumPy
• OpenCV
• Matplotlib
• Seaborn
• Pandas
• Scikit-learn

Dowload reqired libraries just by running following command:

pip install tensorflow numpy opencv-contrib-python opencv-python matplotlib seaborn pandas scikit-learn

Dataset

You can download data from following link

https://drive.google.com/drive/folders/1l3z9d9w0ZxFlaLddULuAmVt6U2UMcMQr?usp=sharing

Running Locally

Navigate to the project directory containing Projectrun.py and run the following command in the terminal:

python Projectrun.py

Feel free to customize and expand upon this README to suit your project's specific details and requirements.