CanadaBuys #NRCan-5000096137

Development of Automated Petrographic Image Segmentation Tools for NRCan

Natural Resources Canada (NRCan) is seeking advanced services for the development of automated petrographic image segmentation tools to support geological research. - Government Buyer: - Department of Natural Resources Canada (NRCan) - Buyer contact: Anik Samson - Location: 580 Booth Street, Ottawa, Ontario - OEMs and Vendors: - No specific OEMs or commercial vendors are named - Pre-identified supplier: Institut national de la recherche scientifique (INRS) - References to open-source tools such as Segment Anything Model (SAM), K-means, and DBSCAN - Products/Services Requested: - Development of guidelines for image formatting and cleaning - Production of image segmentations using open-source and AI-based tools - Creation of automated mineral-class grouping and labeling tools - Integration of these tools into laboratory image acquisition workflows - Development of deep-learning-based tools for geological feature recognition - Final reporting and documentation - Unique or Notable Requirements: - Supplier must have at least 15 years of academic research experience in data assimilation and AI applied to Canadian geological environments - Recent experience (since 2021) in developing or adapting machine-learning-based image processing algorithms for geology - Emphasis on quantitative, automated, and AI-driven approaches - Estimated Contract Value: - $130,000 CAD (GST/HST extra) - Period of Performance: - 11 months from contract award, ending August 13, 2027

Description

The Department of Natural Resources Canada (NRCan) requires the development of petrographic image segmentation tools using quantitative and automated methods. The work involves developing guidelines for image formatting and cleaning, producing image segmentations using open-source tools, and creating automated mineral-class grouping tools. The project includes integrating these tools into the image acquisition workflow and developing deep-learning-based tools for recognizing geological features. The contract duration is 11 months starting August 17, 2026.

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