You can download TTU dataset from the URL below:
https://drive.google.com/drive/folders/1IfoVZwOTbjoapbo2uRAHHm0loH1GONUZ
The driver contains the files below:
train_B.tar.gz, train_C.tar.gz, train_D.tar.gz, train_O.tar.gz, test_SU.tar.gz, test_US.tar.gz, test_UU.tar.gz
After downloading all the compressed files, uncompress the datasets using the command below:
$ source untar.sh
TTU_dataset/
├── train/
│ └── {scene_id}/ # scene_id: (B1, B2, …, C1, C2, …, D1, D2, …, O1, O2, …)
│ └── template_{template_num}/ # template_num: (00001 ~ 00016)
│ └── traj_{trajectory_num}/ # trajectory_num: (00000 ~ 00099)
│ └── {frame_num}/ # frame_num: (000 ~ 004)
│ ├── rgb_top.png
│ ├── rgb_front_top.png
│ ├── depth_top.npy
│ ├── deoth_front_top.npy
│ ├── seg_top.npy
│ ├── seg_front_top.npy
│ └── obj_info.json
├── test-seen_obj-unseen_template/
│ └── ...
├── test-unseen_obj-seen_template/
│ └── ...
└── test-unseen_obj-unseen_template/
└── ...
Hogun Kee - hogun.kee@rllab.snu.ac.kr
Wooseok Oh - wooseok.oh@rllab.snu.ac.kr
If you find our dataset useful in your research, plase cite:
@misc{Kee_TTU_Dataset_Dataset_2024,
author = {Kee, Hogun and Oh, Wooseok and Oh, Songhwai},
month = sep,
title = {{TTU Dataset: Dataset for Tabletop Tidying Up Problem}},
url = {https://github.com/rllab-snu/TTU-Dataset/},
year = {2024}
}
Distributed under the MIT License. See LICENSE
for more information.