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This Government Contract opportunity from Government of Canada was posted on July 23, 2026. The submission period has ended. Browse the details below for market research, or find similar active opportunities.

Automated Petrographic Image Segmentation Software Development

Closed
International

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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.

General Info

Develop AI software to segment geological thin section images using machine learning for precise material identification in Canada.

NAICS

541721

Place of Performance

Canada, CAN

Set-Aside

NONE

Documents

This scope was carved out of NRCan-5000096137.

The full solicitation package (2 documents), including the RFP, is on the prime solicitation, not on this scope.

View the prime solicitation

Segmentation of Petrographic Images Using Quantitative and Automated Tools

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Timeline

PhaseClosed
Posted

subcontract

Response Deadline

Deadline has passed

Submission Closed

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Organization & Contact Information

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AgencyGovernment of Canada → Department of Natural Resources (NRCan)
ContactsNo contacts available
OfficeN/A
Office AddressN/A
ContactsNo contact information available

Full Description

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Develop AI-driven software tools to segment geological thin section images using machine learning and numerical methods, including preprocessing, feature extraction, and pixel classification.

More opportunities from Government of Canada → Department of Natural Resources (NRCan)

Same awarding agency

New
International
Analytical Services
Solicitation # 5000094969
Natural Resources Canada is seeking offers under solicitation 5000094969 to provide as-and-when-required analytical support to CanmetMINING. The contract focuses on the chemical and elemental characterization of solid and liquid samples, specifically targeting major and trace elements, base metals, and precious metals to support the Mining Value from Waste Program. The scope includes services such as crushing, splitting, pulverization, and comprehensive geochemical multi-element analysis using instrumentation like ICP-MS and ICP-OES, as well as fire assay where appropriate. The initial term runs from the date of the contract to March 31, 2027, with an option for three additional one-year extensions. The selection process is based on a weighted evaluation of 70 percent technical merit and 30 percent price, with a minimum of 21 points required for technical compliance. Deliverables include analytical reports submitted in Microsoft Excel-compatible format, with strict turnaround times ranging from three to four weeks depending on sample volume. The contractor is required to maintain industry-recognized quality assurance and control procedures, including the use of blanks, standards, and replicates. Payment is processed monthly via direct deposit, and the contract includes standard federal requirements regarding ethics, employment equity, and a commitment to net-zero targets by 2050. There are no security requirements associated with this work.

POSTED

3 days ago

DEADLINE

in about 1 month
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