Automated Petrographic Image Segmentation Software Development

The contract entails the development of AI-driven software tools designed to automatically segment geological thin section images through machine learning and numerical methods, with a focus on preprocessing, feature extraction, and pixel-level classification to enable precise material identification in petrographic samples. The work requires robust algorithmic design capable of handling complex, high-resolution imagery common in geological analysis, ensuring accurate and repeatable segmentation outcomes that support scientific interpretation and digital rock analysis workflows. The project is issued as a subcontract under the NAICS code 541721 by the Government of Canada’s Department of Natural Resources, with performance anticipated to occur in Canada. Proposals must be submitted by August 7, 2026, following a posting date of July 23, 2026, and interested parties should reference the official tender opportunity linked through the CanadaBuys portal. While no set-aside provisions or point of contact details are specified, the focus remains on delivering a scalable, reliable software solution tailored to the unique demands of geological imaging and automated petrography.