AI TOOL PROFILE
DLib C++ Library
- Software Development
- Machine Learning Framework
- Software Companies
- Development Teams
- C++ Developers
- Embedded Systems Engineers
Pricing
DLib is free and open source software.
At a glance
- Best for
- Software Companies, Development Teams, C++ Developers, Embedded Systems Engineers
- Key use cases
- Robotics Development, Embedded Device Software, Mobile Application Backend, High-Performance Computing
- Integrations
- BLAS, LAPACK, OpenCV, SQLite, Google Protocol Buffers
- Official website
- Visit DLib official website
How AI is used
DLib is a C++ toolkit containing machine learning and numeric algorithms. It provides tools ranging from deep learning and Support Vector Machines to linear algebra and image processing within a portable C++ framework.
The library is intended for use in both industry and academia, particularly for development on Windows, Linux, and macOS. As it does not require external packages and relies on standard C++ and OS APIs, it may be used in environments such as mobile phones and embedded systems.
In addition to machine learning, DLib includes utilities for networking, threading, and GUI development. This allows developers to build C++ applications that require data processing or intelligence features.
Buyers should confirm that their team has the necessary C++ expertise, as the library requires compilation to implement.
Key Features
Deep Learning Tools
Supports the creation and training of deep neural networks.
Machine Learning Algorithms
Includes Support Vector Machines (SVM), Relevance Vector Machines, and multiclass classification tools.
Image Processing
Includes routines for reading and writing image formats, color space conversion, and face recognition.
Numerical Algorithms
Provides a matrix object for linear algebra and various non-linear optimization algorithms.
Networking and Threading
Offers a TCP sockets API and a threading API for POSIX and Windows systems.
GUI Toolkit
Provides a core GUI API and a collection of windowing widgets.
Use Cases
Robotics Development
Implementing machine learning and sensor data processing.
Embedded Device Software
Integrating machine learning algorithms into hardware with limited resources.
Mobile Application Backend
Building C++ components for mobile phone software.
High-Performance Computing
Performing numerical analysis and large-scale classification tasks.
Integrations
- BLAS
- LAPACK
- OpenCV
- SQLite
- Google Protocol Buffers
FAQ
Is DLib free to use for commercial projects?
- Yes, DLib is open source and can be used free of charge in any application.
Which operating systems does DLib support?
- It is tested on MS Windows, Linux, and Mac OS X, and is designed to work on POSIX systems.
Does DLib support GPU acceleration?
- DLib may be compiled with CUDA enabled to use GPU acceleration for certain tasks, such as deep learning.
Source category: Software Development
Source subcategory: Machine Learning Framework
More tools in Software Development
Other published listings in the Software Development category.
More tools in the Machine Learning Framework software type
Related listings that share the same software type for comparison and shortlisting.
