FractalityLab
FractalityLab is a our Java tool developed specifically for creating fractal image datasets. These datasets are crucial for evaluating the performance and classification capabilities of machine learning models within the EDUX library.
The primary goal of FractalityLab is to provide intricate and diverse datasets of fractal images, essential for training and improving machine learning models, particularly in image recognition and classification tasks.
- Fractal Generators: Includes multiple fractal generators such as Mandelbrot, Julia, and Burning Ship and more.
- Customizable Outputs: Configurable image size and quantity.
- Data Output: Generates .png images with CSV file output containing fractal data.
FractalityLab produces high-quality fractal images such as:
You can download a dataset of 1000 images (256x256) for each class generated with FractalityLab here FractalityLab Dataset