Abstract

This study used boots, aircraft, cells, pliers, and guitars from 2D shapes included in the literature as data sets to test modeling success. These 2D shapes, which are mostly not publicly available data sets, form the target curves of IP. In this study, hand drawings with a curved structure were used in modeling, where the success of fitting precision could be better determined. Other reasons for preferring hand drawings as a data set are that these images provide data diversity by covering noisy examples in the real world, can improve the model’s generalization ability, and can reduce the overfitting problem. Draft drawings are provided in Supplementary files.

Instructions:

Different images in the dataset may require different polynomial degrees for optimal representation due to their unique characteristics. Complex images may require higher-degree polynomials for accurate modeling, while lower-degree polynomials may be sufficient for images with more superficial structures.

Data Descriptor Article DOI:

https://doi.org/10.1109/ACCESS.2024.3402112