Custom Image Tagger

A simple custom image annotator tool built with Python using the Tkinter and PIL libraries. This tool allows users to annotate images by providing input values, which are saved to a CSV file.

Features

• Load and display images from a specified directory.
• Annotate images by entering custom values.
• Save the annotations to a CSV file.
• Skip images without providing annotations.

Prerequisites

• Python 3.x
• Tkinter
• Pillow (PIL)

Installation

1. Clone the repository:

   git clone https://github.com/your-username/custom-image-annotator.git

2. Navigate to the project directory:

   cd custom-image-annotator

3. Install the required dependencies:

   pip install Pillow

Usage

1. Update the file paths in the script as needed:

   • FILE_PATH: Path to the CSV file where annotations will be saved.
   • IMAGE_PATH: Path to the directory containing the images to be annotated.

2. Run the script:

   python annotator.py

3. Use the GUI to annotate images:

   • The image will be displayed in the main window.
   • Enter the annotation value in the provided entry field.
   • Click "Save" to save the annotation and move to the next image.
   • Click "Skip" to move to the next image without saving an annotation.

Example

Here's a simple example of how to set up the file paths and run the annotator:

FILE_PATH = "../ImageFiles/num_lanes_test.csv"
IMAGE_PATH = "../ImageFiles/direct_site_images"

Then run the Python script

Contributing

Contributions are welcome! Please feel free to submit a pull request or open an issue.

License

This project is licensed under the Apache License 2.0 - see the LICENSE file for details.