The C++ language is a popular choice for computer programming. It’s an object-oriented language, but still has low-level memory access like C does. One of the things that makes it so popular is the sheer number of libraries that are available to add functionality to C++ programs. One category of libraries you should look at is data labelling tools. C++ Data Labelling libraries are a great way to accelerate the annotation process for your machine learning project. There are several popular open-source libraries available for developers: ProGraML - Graphbased Program Representation & Models for Deep Learning; video-content-description-VCD - a metadata format designed to enable the description of scene information, particularly efficient for discrete data series, such as image or point-cloud sequences from sensor data; Camera-capture - GUI tool for collecting & labeling data from live camera feed. Full list of the best open source libraries below.
C++ 20 Version:v4.3.1 License: Permissive (MIT)
C++ 2 Version:0.1.0 License: Strong Copyleft (GPL-3.0)
C++ 2 Version:Current License: Permissive (MIT)
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