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Image Recognition Neural Networks, Open Sourced

Posted by timothy on from the don't-tell-hal-about-this dept.

sevarac writes "The latest release of Java Neural Network Framework Neuroph v2.3 comes with ready-to-use image recognition support. It provides GUI tool for training multi layer perceptrons for image recognition, and an easy-to-use API to deploy these neural networks in end-user applications. This image recognition approach has been successfully used by DotA AutoScript tool, and now it is released as open source. With this Java library basic image recognition can be performed in just few lines of code. The developers have published a howto article and an online demo which can be used to train image recognition neural networks online."

3 of 98 comments (clear)

  1. !Open Sourced by RiotingPacifist · · Score: 5, Informative

    Maybe im wrong but to me "open sourced" sounds like the project was closed then it was "open sourced" and now its open source. This project has AFAICT always been open:

    Neuroph started as a graduate thesis project, after that a part of master theses, and on September 2008. it became open source project on SourceForge.

    Also why not give the license in the summary (LGPL3).

    --
    IranAir Flight 655 never forget!
    1. Re:!Open Sourced by logfish · · Score: 4, Informative

      To open source thesis work, you will have to get approval from the university your are working at. So I think it probably got open-sourced later then it was developed at least. Often (at my faculty at least) implementations are protected aggressively, to keep other people from getting the same performance.

  2. They do support other things by OeLeWaPpErKe · · Score: 4, Informative

    So please don't take the (dumb) slashdot blurb as the exhaustive feature list of the library.

    Supported :
    -> Adaline
    -> Perceptron
    -> Multi layer perceptron
    -> Hopfield
    -> Kohonen
    -> Hebbian
    -> Maxnet
    -> Competitive network
    -> RBF network

    So it does support several quite modern approaches. It also has a training utility which supports image training. This should be very useful to students imho.