Plankton Classification and Image Processing Software Development

The contract involves the development of specialized operating software and machine learning-driven algorithms designed to classify plankton using imagery captured by a 4K line-scan camera. This work includes training and deploying artificial intelligence models to accurately identify and categorize plankton species from high-resolution underwater images, ensuring efficient and scalable analysis in marine research settings. The project also requires the configuration of a dedicated desktop processing station optimized to handle the computational demands of image acquisition, storage, and real-time algorithm execution, creating an end-to-end system tailored for scientific use. The software must be robust, precise, and capable of integration with existing marine monitoring infrastructure, with a focus on minimizing human intervention while maximizing classification accuracy. The effort is structured as a subcontract under the Department of the Interior’s Office of Acquisition and Grants in Denver, with the North American Industry Classification System code 511210 indicating it falls under software publishing. No set-aside provisions are specified, and the work is expected to be performed remotely or at the contractor’s facility, with the point of performance not defined further. The contract was posted in April 2026 and is accessible through the SAM.gov platform for eligible contractors.