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  # TFW: Annotated Thermal Faces in the Wild Dataset
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- ## Dataset Summary
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- The TFW dataset comprises thermal images captured in three distinct environments: controlled indoor (c-indoor), semi-controlled indoor (s-indoor), and uncontrolled outdoor (u-outdoor). The c-indoor subset utilizes images from the SpeakingFaces dataset. The s-indoor and u-outdoor subsets were collected using a FLIR T540 thermal camera (464x348 pixels, 7.5–14 μm wave-band, 24° field of view, iron color palette). Each image is annotated with face bounding boxes and five facial landmarks (centers of both eyes, tip of nose, outer corners of mouth).
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- ## Dataset Structure
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- The dataset is organized into three environment subsets:
 
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- * **c-indoor:** 142 subjects, 5,112 images, 5,112 labeled faces, visual pairs available.
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- * **s-indoor:** 9 subjects, 780 images, 1,748 labeled faces, visual pairs available.
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- * **u-outdoor:** 15 subjects, 4,090 images, 9,649 labeled faces, visual pairs not available.
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- A combined subset includes all environments.
 
 
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- ## Data Examples
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- [Example image showing annotations](https://github.com/IS2AI/TFW/blob/main/figures/example.png)
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- ## Dataset Download
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- The dataset can be downloaded from [Google Drive](https://drive.google.com/file/d/1q8jfnDdCe3e-YOnoL5PIpSlkt0vamPMV/view?usp=sharing) or via a request to [this link](https://issai.nu.edu.kz/tfw-annotated-thermal-faces-in-the-wild-dataset/).
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- ## Pre-trained Models
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- Pre-trained YOLOv5 and YOLO5Face thermal face detection models are available for download. Details on the models can be found on [Google Drive](https://drive.google.com/drive/folders/10ToqjavIlk5bj63zV4xgibE1L-jTEzxN?usp=sharing) (YOLOv5) and [Google Drive](https://drive.google.com/drive/folders/12ub57wP1hZ4tL2WH7TrUpmbvXXIdi3NU?usp=sharing) (YOLO5Face). Example results are shown below.
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- [Example image showing YOLOv5 detection results](https://github.com/IS2AI/TFW/blob/main/figures/yolov5.png)
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- [Example image showing YOLO5Face detection results](https://github.com/IS2AI/TFW/blob/main/figures/yolov5_face.png)
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- [Demo GIF](https://github.com/IS2AI/TFW/blob/main/figures/demo.gif)
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- ## Contact
 
 
 
 
 
 
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- For any questions or issues, please contact the dataset creators. Further information can be found in the associated paper.
 
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  # TFW: Annotated Thermal Faces in the Wild Dataset
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+ This dataset contains thermal images of faces acquired in various environments: controlled indoor (`c-indoor`), semi-controlled indoor (`s-indoor`), and uncontrolled outdoor (`u-outdoor`). The `c-indoor` subset utilizes images from the SpeakingFaces dataset. The `s-indoor` and `u-outdoor` subsets were captured using a FLIR T540 thermal camera (464x348 pixels, 7.5–14 μm wave-band, 24° field of view, iron color palette).
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+ Each image is annotated with a face bounding box and five facial landmarks (centers of the eyes, tip of the nose, and outer corners of the mouth).
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+ **Dataset Statistics:**
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+ * **Total Images:** 9,982
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+ * **Total Labeled Faces:** 16,509
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+ **Data Splits:**
 
 
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+ * **c-indoor:** 142 subjects, 5,112 images, 5,112 labeled faces. Visual pairs are available.
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+ * **s-indoor:** 9 subjects, 780 images, 1,748 labeled faces. Visual pairs are available.
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+ * **u-outdoor:** 15 subjects, 4,090 images, 9,649 labeled faces. Visual pairs are not available.
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+ **Example Images:**
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+ [Image: https://github.com/IS2AI/TFW/blob/main/figures/example.png]
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+ **Dataset Download:**
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+ The dataset can be downloaded from Google Drive [link removed].
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+ **Pre-trained Models:**
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+ Pre-trained YOLOv5 and YOLO5Face models for thermal face detection are available [links removed]. These models were trained on the TFW dataset and performance metrics are available in a removed table.
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+ **Demo:**
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+ [GIF: https://github.com/IS2AI/TFW/blob/main/figures/demo.gif]
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+ **Example YOLOv5 Detection Results:**
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+ [Image: https://github.com/IS2AI/TFW/blob/main/figures/yolov5.png]
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+ **Example YOLO5Face Detection Results:**
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+ [Image: https://github.com/IS2AI/TFW/blob/main/figures/yolov5_face.png]
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