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1. What is NLP annotation NLP (Natural Language Processing, Natural Language Processing) is equivalent to the translation between machine language and human language, and realizes the purpose of human-computer communication by building a communication bridge. From the perspective of natural language, NLP can be divided into two parts: natural language processing and natural language generation, namely understanding and generating text. What is NLP annotation? Natural language processing is the study of language, context and its form, including phonology, morphology, syntax, semantics, and pragmatics. In the actual operation of the natural language understanding process, it is often necessary to overcome difficulties such as language diversity, ambiguity, robustness, knowledge dependence, and the need to link context. Natural language generation is to automatically generate text from the acquired structured data by reading it through the idea of ​​text planning→sentenc...

Point cloud data is generally obtained by application 3D scanning equipment such as lidar to obtain information of several points in space, including XYZ position information, RGB color information and intensity information, etc., which is a multi-dimensional complex data collection. Compared with 2D images, 3D point cloud data has great advantages. It can provide rich geometric, shape and scale information; and it is not easily affected by changes in illumination intensity and occlusion of other objects. Thus, the 3D point cloud provides a good understanding of the machine's surroundings. The annotation of 3D point cloud data can be accomplished by using various image processing techniques, including automatic segmentation, automatic classification, automatic image annotation, etc. First, the point cloud data can be divided into different categories using deep learning-based 3D image segmentation application technology for further labeling. Secondly, machine learning meth...