Digital Twin Catalog (DTC)

该数据集名为DTC，包含了2000个扫描的数字孪生级别质量的3D物体，以及使用数码单反相机和第一人称视角增强现实眼镜在不同光照条件下捕获的图像序列。该数据集可作为评估3D数字孪生创建任务的基准。此外，数据集还包括毫米级的几何精度、多种光照条件以供评估，并且拥有专有的后期处理流程，用于确保材质和几何精度的准确性。规模上，该数据集涵盖了2000个物体，100张由数码单反相机捕获的图像，以及200个第一人称视角的捕捉。其任务是对3D物体进行重建和评估。

The dataset is named DTC. It contains 2000 scanned 3D objects with digital twin-level quality, alongside image sequences captured under different lighting conditions using a DSLR camera and first-person view augmented reality glasses. This dataset can serve as a benchmark for evaluating 3D digital twin creation tasks. Additionally, the dataset includes millimeter-level geometric accuracy, various lighting conditions for evaluation, and a proprietary post-processing pipeline to ensure the accuracy of material properties and geometric precision. In terms of scale, the dataset covers 2000 objects, 100 images captured by the DSLR camera, and 200 first-person view captures. The task is to reconstruct and evaluate 3D objects.