dlib is a C++ library for developing portable applications dealing with networking, threads, graphical interfaces, data structures, linear algebra, machine learning, XML and text parsing, numerical optimization, Bayesian nets, and numerous other tasks.
| Tags | Scientific/Engineering Artificial Intelligence Software Development Libraries Internet Web HTTP Servers |
|---|---|
| Licenses | Boost |
| Operating Systems | Windows Windows Windows OS Independent Windows Mac OS X POSIX |
| Implementation | C++ |
Recent releases


Release Notes: This release has focused mostly on minor usability and feature improvements. Some highlights are better support for learning to do sequence labeleing from unbalanced data, new image processing routines, and new tools tools for performing Kalman filtering and recursive least squares filtering.


Release Notes: This release contains a number of new features, bugfixes, and usability improvements. Highlights include a structural support vector machine method for learning to solve assignment problems and new feature extractors for detecting objects in images.


Release Notes: This release contains a number of new features and bugfixes. Some highlights are a structural support vector machine method for learning to do sequence labeling, as well as a graph-based image segmentation tool.


Release Notes: This release contains a number of new features and bugfixes. Some highlights are a structural support vector machine method for learning to detect objects in images, and two new general purpose tools for solving the MAP problem in graphical models.


Release Notes: This release has been focused on minor bug fixing and usability improvements.