Simple Synthetic Fruits Image Dataset (Apples, Bananas, Oranges)

This dataset contains 36 synthetic fruit images generated using the Python PIL library.
It includes three categories of fruits: Apple, Banana, and Orange, with 12 images per class.
Each image has a resolution of 224×224 pixels in RGB PNG format and is properly labeled.

The dataset is primarily designed for educational and research purposes, including:
- Multi-class image classification tasks
- Introductory computer vision practice
- Demonstration of dataset creation and publishing on Mendeley Data

File Structure:
├── apple/ → 12 images
├── banana/ → 12 images
└── orange/ → 12 images

Key Features:
- 3 fruit categories (apple, banana, orange)
- 36 images in total
- 224×224 pixels, RGB, PNG format
- Synthetic illustrations (not real photographs)
- Suitable for classification tasks, teaching, and dataset publishing demonstrations

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License: CC BY 4.0

Keywords: Fruits, Image Classification, Computer Vision, Synthetic Dataset, Machine Learning