An Open Source Framework for Underwater Image Processing


Video and Image Analytics for Marine Environments

In cooperation with NOAA’s Automated Image Analysis Strategic Initiative (AIASI), Kitware and it’s partners have developed VIAME, an open-source system for analysis of video and imagery for fisheries stock assessment. VIAME contains a number of different workflows for the generation of different object detectors, full frame classifiers, image mosaics, and methods for stereo measurement.

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.




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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Submission Server Now Open

The submission server is now open and accepting submissions. Please see our Submission Guidelines page for information about properly formatting your submission and a step-by-step process of completing a submission.

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Challenge Data Now Available

We're excited to announce that the challenge data is now available for download. The challenge data is structured similarly to the imagery released in the previous training data phase, with folders consisting of imagery for a particular data set. You should submit one...

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