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Dataset sample display:


Sample display for each category. The bottom row shows a zoomed-in view of the object.




Sample display for diversification.



Dataset structure:

THZ_dataset_seg_IMG
  ├── train
  ├── val
  └── test

THZ_dataset_det_VOC
  ├── Annotations
  │    ├── D_N_F1_CK_F_LA_WB_F_S_back_0907140917.xml
  │    ├── D_N_F1_CK_F_LA_WB_F_S_front_0907140917.xml
  │    ├── D_N_F1_CL_V_LA_LW_V_RA_back_0907141138.xml
  │    ├── ...
  │    └── T_P_M6_MD_F_LL_CK_F_C_WB_F_RT_front_0906154134.xml
  └── JPEGImages
      ├── D_N_F1_CK_F_LA_WB_F_S_back_0907140917.jpg
      ├── D_N_F1_CK_F_LA_WB_F_S_front_0907140917.jpg
      ├── D_N_F1_CL_V_LA_LW_V_RA_back_0907141138.jpg
      ├── ...
      └── T_P_M6_MD_F_LL_CK_F_C_WB_F_RT_front_0906154134.jpg


Download links:


Baidu drive
(Extraction code: x3od)

Paper

Concealed Object Segmentation in Terahertz Imagingvia Adversarial Learning- link

If you find this dataset useful in your research, please consider citing:
@article{LIANG20191104,
title = {Concealed object segmentation in terahertz imaging via adversarial learning},
journal = {Optik},
volume = {185},
pages = {1104-1114},
year = {2019},
author = {Dong Liang and Jiaxing Pan and Yang Yu and Huiyu Zhou}
}

Active Terahertz Imaging Dataset for Concealed Object Detection- link

If you find this dataset useful in your research, please consider citing:
@article{LIANG20191104,
@misc{liang2021active,
title={Active Terahertz Imaging Dataset for Concealed Object Detection},
author={Dong Liang and Fei Xue and Ling Li},
year={2021},
eprint={2105.03677},
archivePrefix={arXiv},
primaryClass={cs.CV}
}