ShapeNetCore V1+V2 三维模型数据集

ShapeNetCore 是 ShapeNet 数据集的一个子集，包括独立干净的 3D 模型，以及人工验证的类别和对齐标注。该数据集涵盖了 55 个常见的物体类别，约 51,300 个独特的 3D 模型。

ShapeNetCore is a subset of the ShapeNet dataset, which consists of independently cleaned 3D models along with human-validated category and alignment annotations. This dataset covers 55 common object categories and contains approximately 51,300 unique 3D models.

搜集汇总

背景与挑战

背景概述

ShapeNetCore V1+V2是一个包含55个常见物体类别、约51,300个独特3D模型的数据集，提供独立干净的3D模型及人工验证的类别和对齐标注。数据集大小为54.8GB，与PASCAL 3D+数据集有12个类别重叠。