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How to teach vision to computers: 3d Point Cloud Annotation?

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The goal of this work is to design an interface that streamlines the process of labeling objects in large 3D point clouds annotation. Since automatic methods are inaccurate and manual annotation is tedious, this work assumes the necessity of every object’s label being verified by the annotator, yet puts the effort required from the user to accomplish the task without loss of accuracy at the center stage. Webtunix AI delivers high-quality 3D point clouds annotation, 2D Bounding Box Annotation Tools for Object Detection and localization in images and videos. We have complete Data science user cases for e-commerce, Insurance, Humanoid Robots training data, drones, Self-driving cars. For more detail visit: https://www.webtunix.com/3d-point-cloud-annotation.

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