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Top 12 open-source products relevant to Image Analysis and OCR

  1. scikit-image is a collection of algorithms for image processing.

    Open Source

    /scikit-image-alternatives
  2. SimpleCV is an open source framework for building computer vision applications.

    Open Source

    /simplecv-alternatives
  3. TFlearn is a modular and transparent deep learning library built on top of Tensorflow.

    Open Source

    /tflearn-alternatives
  4. Darknet is an open source neural network framework written in C and CUDA.

    Open Source

    /darknet-alternatives
  5. Caffe is an open source, deep learning framework.

    Open Source

    /caffe-alternatives
  6. CCV is a open source/cross-platform solution for blob tracking with computer vision.

    Open Source

    /ccv-alternatives
  7. ConvNetJS is a Javascript library for training Deep Learning models (Neural Networks) entirely in a browser.

    Open Source

    /convnetjs-alternatives
  8. Chainer is a flexible and intuitive framework for Neural Networks.

    Open Source

    /chainer-alternatives
  9. BrainCore is a simple but fast neural network framework written in Swift.

    Open Source

    /braincore-alternatives
  10. VIGRA is a computer vision library that puts its main emphasis on flexible algorithms.

    Open Source

    /vigra-alternatives
  11. Data Science and its implementation helps various enterprises automatically extract knowledge & insights from various big data sources.

    Open Source

    /addepto-alternatives
  12. AIToolbox is a toolbox of AI modules written in Swift.

    Open Source

    /aitoolbox-alternatives

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