HOTS Dataset
收藏arXiv2025-09-30 收录
下载链接：
https://gtziafas.github.io/neurosymbolic-manipulation
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资源简介：
该数据集是一个小规模的现实世界RGB-D数据集，它包含了桌面场景中的家用物品，用于评估模型的适应性能。此外，该数据集包含了新颖的属性，并且是合成数据集的一个子集。它包含了48个具有不同属性的对象实例，跨越了108个场景设置。该数据集的任务是视觉推理和机器人操作。
This is a small-scale real-world RGB-D dataset containing household objects in tabletop scenes, intended for evaluating model adaptation performance. Additionally, this dataset features novel attributes and is a subset of a synthetic dataset. It comprises 48 object instances with diverse attributes across 108 scene setups, and its targeted tasks are visual reasoning and robotic manipulation.
