Simple Synthetic Fruits Image Dataset (Apples, Bananas, Oranges)
Description
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 ... License: CC BY 4.0 Keywords: Fruits, Image Classification, Computer Vision, Synthetic Dataset, Machine Learning