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9 best C# Data Labelling libraries in 2022

by naveen.kumar@openweaver.com

Data labelling can be used to add tags to images, labels to audio files or even annotations for video content. It's particularly useful for computer vision applications, such as facial recognition or object detection. It's also a necessary step when training AI models which will later be used in critical applications, like medical imaging systems and self-driving cars. There is a wealth of data labelling tools out there, some of which offer more features than others, while others are built with a specific need in mind. Developers tend to use some of the following open source libraries: BMW-Labeltool-Lite - This repository provides you with an easy to use labeling tool for State-of-the-art Deep Learning training purposes, SynthDet - An endtoend object detection pipeline using synthetic data, Alturos.ImageAnnotation - A collaborative tool for labeling image data for yolo. Find the following best 9 C# Data Labelling libraries:
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