3D Object Classification

3D Object Classification is a task in the field of computer vision aimed at predicting the category of 3D object point clouds. This task achieves precise recognition and classification of 3D objects by classifying each voxel. The ModelNet dataset is a commonly used benchmark for evaluating the performance of this task, with models typically assessed using classification accuracy as the evaluation metric. 3D Object Classification has significant application value in scenarios such as autonomous driving, robot navigation, and virtual reality.