An Open Source Framework for Video and Image Processing


In cooperation with NOAA’s Automated Image Analysis Strategic Initiative (AIASI), Kitware and it’s partners have developed VIAME (Video and Image Analytics for Marine Environments), an open-source system for analysis of video and imagery for fisheries stock assessment and a variety of other applications. VIAME contains a number of different workflows for the generation of different object detectors, full frame classifiers, image mosaics, and methods for stereo measurement. Both a desktop and web version exists for deployments in different types of environments.

GitHub Mark View Project on GitHub


Installers and Documentation


  • Open Source basis fosters easy collaboration and transparent development for the widest possible community involvement.
  • Multiple Baseline Algorithms allows users to train detector, classification, and size estimation models based on varying amounts of training data.
  • Modular Dataflow Architecture enables straightforward integration of a wide variety of third party analytics, libraries and tools. The Kitware Video and Image Exploitation and Retrieval toolkit, which includes a pipelined image processing framework, baseline algorithms, and wrappers around algorithms from the broader computer vision community, allows user to connect C++, Python, and Matlab processing nodes into distributed pipelines.




Ocean Sciences Meeting

VIAME was featured in three presentations at the bi-annual Ocean Sciences Meeting in San Diego, February 16 to February 21, 2020. For additional information visit

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Challenge Submission Deadline Extended

Due to the delays in rolling out the challenge data, we have extended the submission deadline from May 16 until May 23. The competition results will now be announced on May 30. For information about submissions, please see the previous blog post.

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