Amodal Completion Dataset

该数据集旨在研究使用遮挡和不完整形状的模态完成过程。它为探索深度神经网络和人类如何感知被遮挡物体提供了手段。该数据集的任务是测试在物体识别方面，深度神经网络与人类感知的相似性。

This dataset aims to investigate modal completion processes involving occlusion and incomplete shapes. It provides a means to explore how deep neural networks and humans perceive occluded objects. The task of this dataset is to test the similarity between deep neural networks and human perception in the context of object recognition.