Multipolar

Its primary purpose is to bridge the gap between traditional Digital Photoelasticity and modern data-driven frameworks by providing a standardized set of multi-polarizer imagery and their corresponding quantitative stress interpretations.

This dataset includes multi-polarizer array images consisting of raw data captured from optical setups, featuring both standard benchmark geometries and intricate bioinspired specimens. These samples cover a wide range of stress concentration scenarios, represented through diverse fringe pattern images to ensure model robustness across different structural complexities. While Digital Photoelasticity has transitioned toward using multipolarizer array cameras, the lack of open-access training data has slowed the integration of Artificial Intelligence in stress analysis.