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--- |
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license: mit |
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task_categories: |
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- object-detection |
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tags: |
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- thermal faces |
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- thermal facial landmarks |
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pretty_name: tfw |
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size_categories: |
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- 1K<n<10K |
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--- |
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# TFW: Annotated Thermal Faces in the Wild Dataset Card |
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**Paper:** [TFW: Annotated Thermal Faces in the Wild Dataset (IEEE)](https://ieeexplore.ieee.org/abstract/document/9781417) |
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**GitHub:** [https://github.com/IS2AI/TFW](https://github.com/IS2AI/TFW) |
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**Description:** |
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The TFW dataset provides thermal images collected in a controlled indoor (`c-indoor`), semi-controlled indoor (`s-indoor`), and |
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uncontrolled outdoor (`u-outdoor`) environments. The dataset was manually annotated with facial bounding boxes and 5-point facial landmarks. |
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| Environment | Subjects | Images | Labeled faces | Visual pair| |
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| ---:| :---: | :---: | :---: | :---: | |
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| c-indoor | 142 | 5,112 | 5,112 | yes | |
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| s-indoor | 9 | 780 | 1,748 | yes | |
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| u-outdoor | 15 | 4,090 | 9,649 | no | |
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| combined | 147 | 9,982 | 16,509 | yes & no | |
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**Citation:** |
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```bibtex |
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@ARTICLE{9781417, |
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author={Kuzdeuov, Askat and Aubakirova, Dana and Koishigarina, Darina and Varol, Huseyin Atakan}, |
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journal={IEEE Transactions on Information Forensics and Security}, |
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title={TFW: Annotated Thermal Faces in the Wild Dataset}, |
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year={2022}, |
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volume={17}, |
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number={}, |
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pages={2084-2094}, |
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doi={10.1109/TIFS.2022.3177949}} |
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``` |