Image Classification Project

This project is currently under development. It is a Flask-based web application for uploading and classifying images. Below is a brief overview of the project's setup and functionality.

Table of Contents

• Installation
• Configuration
• Usage
• Routes
• File Upload
• Image Classification
• Contributing
• License

Installation

To get started with the project, follow these steps:

1. Clone the repository:

   git clone https://github.com/yourusername/image-classification.git
   cd image-classification

2. Create a virtual environment and activate it:

   python -m venv venv
   source venv/bin/activate  # On Windows, use `venv\Scripts\activate`

3. Install the dependencies:

   pip install -r requirements.txt

Configuration

Set up the necessary configurations in the main.py file.

• UPLOAD_FOLDER: The folder where uploaded files will be stored.
• ALLOWED_EXTENSIONS: Allowed file extensions for uploads.
• SECRET_KEY: A secret key for session management.

Usage

To run the application, use the following command:

python main.py

The application will be available at http://127.0.0.1:5000/.

Routes

• /: Home page displaying a welcome message.
• /upload_form: Page to upload images for classification.
• /upload: Endpoint to handle file uploads and classification.

File Upload

Files can be uploaded through the /upload_form route. The uploaded file must be of type .jpg or .jpeg.

Example

<form action="/upload" method="post" enctype="multipart/form-data">
    <input type="file" name="file">
    <input type="submit" value="Upload">
</form>

Image Classification

The uploaded image is processed and classified using a predefined model. The results, including the label and confidence percentage, are displayed on the result page.

Contributing

Contributions are welcome! Please fork the repository and create a pull request with your changes.

License

This project is licensed under the MIT License. See the LICENSE file for details.