Merge pull request #73 from lvlinsheng/website-lv

cuboid2

src/pages/guide.introduction/markdown_en-US.mdx

@@ -2,7 +2,7 @@
 
 ### Product Overview
 
-LabelU is an open-source data annotation tool that can help users quickly, accurately, and efficiently annotate data, thereby improving the performance and quality of machine learning models. LabelU supports various types of annotations, including label classification, text description, bounding boxes, polygons, points, lines, 3D cuboids, timestamps, segmentations, etc., meeting the annotation tasks of different scenarios and needs.
+LabelU is an open-source data annotation tool that can help users quickly, accurately, and efficiently annotate data, thereby improving the performance and quality of machine learning models. LabelU supports various types of annotations, including label classification, text description, bounding boxes, polygons, points, lines, cuboids, timestamps, segmentations, etc., meeting the annotation tasks of different scenarios and needs.
 You can experience the product in two ways:
 - Try online: [https://labelu.shlab.tech/](https://labelu.shlab.tech/)
 - Local deployment: [https://opendatalab.github.io/labelU/#/guide/install](https://opendatalab.github.io/labelU/#/guide/install)

src/pages/guide.introduction/markdown_zh-CN.mdx

@@ -2,7 +2,7 @@
 
 ### 产品介绍
 
-LabelU是一个开源的数据标注工具，它可以帮助用户快速、准确、高效地对数据进行标注，从而提高机器学习模型的性能和质量。LabelU支持多种标注类型，包括标签分类、文本描述、拉框、多边形、点、线、3D立体框、时间戳、片段分割等，满足不同场景和需求的标注任务。
+LabelU是一个开源的数据标注工具，它可以帮助用户快速、准确、高效地对数据进行标注，从而提高机器学习模型的性能和质量。LabelU支持多种标注类型，包括标签分类、文本描述、拉框、多边形、点、线、立体框、时间戳、片段分割等，满足不同场景和需求的标注任务。
 体验产品可通过以下两种方式：
 - 在线体验：[https://labelu.shlab.tech/](https://labelu.shlab.tech/)
 - 本地部署：[https://opendatalab.github.io/labelU/#/guide/install](https://opendatalab.github.io/labelU/#/guide/install)