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The Cat-Dog-Classification project employs a deep learning model to categorize images as either cats or dogs. With a user-friendly interface, follow the provided steps to set up the environment and locally run the application. Gain insights into image classification and contribute to the project's development.

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Abhijit1102/Image-classification

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Cat-Dog-Classification

How to Run

Prerequisites

Installation Steps

  1. Create a virtual environment:

    conda create -n catdog python=3.7 -y
  2. Activate the virtual environment:

    conda activate catdog
  3. Install dependencies:

    pip install -r requirements.txt

Run the Application

  1. Run the application:

    python app.py
  2. Open in your browser:

    http://localhost:8080/

Overview

The Cat-Dog-Classification project utilizes a deep learning model to classify images into cat or dog categories. Follow the steps above to set up the environment and run the application locally. Visit http://localhost:8080/ in your browser to interact with the classification interface.

Contributing

If you'd like to contribute to the project, please follow the contribution guidelines.

License

This project is licensed under the MIT License.

About

The Cat-Dog-Classification project employs a deep learning model to categorize images as either cats or dogs. With a user-friendly interface, follow the provided steps to set up the environment and locally run the application. Gain insights into image classification and contribute to the project's development.

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