README.md

---
license: mit
task_categories:
- object-detection
tags:
- thermal faces
- thermal facial landmarks
pretty_name: tfw
size_categories:
- 1K<n<10K
---
# TFW: Annotated Thermal Faces in the Wild Dataset Card
**Paper:** [TFW: Annotated Thermal Faces in the Wild Dataset (IEEE)](https://ieeexplore.ieee.org/abstract/document/9781417)

**GitHub:** [https://github.com/IS2AI/TFW](https://github.com/IS2AI/TFW)

**Description:**
The TFW dataset provides thermal images collected in a controlled indoor (`c-indoor`), semi-controlled indoor (`s-indoor`), and 
uncontrolled outdoor (`u-outdoor`) environments. The dataset was manually annotated with facial bounding boxes and 5-point facial landmarks.
| Environment  | Subjects | Images | Labeled faces | Visual pair|
|  ---:| :---: | :---: | :---: | :---: | 
| c-indoor  | 142  | 5,112  | 5,112  | yes |
| s-indoor  | 9  | 780  | 1,748  | yes |
| u-outdoor  | 15  | 4,090  | 9,649  | no |
| combined  | 147  | 9,982  | 16,509  | yes & no |

![image/png](https://cdn-uploads.huggingface.co/production/uploads/67056b2e6409e548690b1b6f/uWWvF2xxBfy8jNxaP2Kwk.png)


**Citation:**
```bibtex
@ARTICLE{9781417,
  author={Kuzdeuov, Askat and Aubakirova, Dana and Koishigarina, Darina and Varol, Huseyin Atakan},
  journal={IEEE Transactions on Information Forensics and Security}, 
  title={TFW: Annotated Thermal Faces in the Wild Dataset}, 
  year={2022},
  volume={17},
  number={},
  pages={2084-2094},
  doi={10.1109/TIFS.2022.3177949}}
```