Simulated Depth Images Dataset
收藏arXiv2025-09-30 收录
下载链接：
https://github.com/BerkeleyAutomation/Kit-Net
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资源简介：
该数据集包含了大量用于训练卷积神经网络的模拟深度图像对，这些图像对专门用于将三维物体装配到腔体中的任务。此外，该数据集还提供了用于评估装配性能的真实物体和腔体几何信息。
This dataset contains a large number of simulated depth image pairs for training convolutional neural networks (CNNs), which are specifically designed for the task of assembling 3D objects into cavities. Additionally, the dataset provides geometric information of real objects and cavities for the evaluation of assembly performance.
提供机构：
Berkeley Automation
