The Gravity Falls Jigsaw Puzzle Dataset is a collection of images from the popular animated television show, Gravity Falls, that have been divided into 2x2, 4x4, and 8x8 jigsaw puzzles. The dataset is designed for use in image reconstruction tasks, where the goal is to reassemble the original image from its puzzle pieces.

This dataset is ideal for researchers and developers working on computer vision and machine learning projects that involve image segmentation, object recognition, and image reconstruction. The different puzzle sizes provide a range of difficulty levels, making the dataset suitable for both beginners and advanced practitioners.

The dataset includes a total of 110 unique images from the show, each with multiple puzzle configurations. The puzzles have been generated using a custom algorithm to ensure that the pieces are randomly arranged, making each puzzle unique.

This dataset can be used for a wide range of applications, including image reconstruction, machine learning, computer vision, and artificial intelligence. It is an excellent resource for anyone interested in working with image data and developing innovative solutions to image reconstruction problems.