Synthetic Rock Paper Scissors Dataset

The Synthetic Rock Paper Scissors Dataset offers a rich and diverse collection of images tailored for training and testing machine learning models on the classic game of Rock Paper Scissors. This dataset includes synthetic images generated through advanced data augmentation techniques, ensuring a wide variety of samples to enhance model training. Each of the three classes—Rock, Paper, and Scissors—is well-represented, providing balanced and comprehensive examples. The augmentation processes involve transformations such as rotation, scaling, and color adjustments, simulating real-world conditions to improve model robustness and generalization.