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issai
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TFW

Tasks:
Object Detection
Modalities:
Image
Size:
1K<n<10K
Tags:
thermal faces
thermal facial landmarks
License:
Dataset card Data Studio Files
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  **Summary:**
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- The TFW dataset is a collection of thermal face images captured in controlled indoor, semi-controlled indoor, and uncontrolled outdoor environments. It features manual annotations of face bounding boxes and five facial landmarks. This dataset aims to advance research in thermal face detection and recognition. The repository also provides pre-trained YOLOv5 and YOLO5Face models trained on this dataset, making it a valuable resource for researchers working in this field.
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- **Dataset Summary Table:**
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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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- **Example Images:**
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- [Image](https://github.com/IS2AI/TFW/blob/main/figures/example.png)
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- **Pre-trained Models Performance:**
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- | Model | Backbone | c-indoor AP<sub>50</sub> | u-outdoor AP<sub>50</sub> | Speed (ms) V100 b1 | Params (M) | Flops (G) @512x384 |
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- |-----------------|---------------|------------------------|-------------------------|---------------------|------------|--------------------|
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- | YOLOv5n | CSPNet | 100 | 97.29 | 6.16 | 1.76 | 0.99 |
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- | YOLOv5n6 | CSPNet | 100 | 95.79 | 8.18 | 3.09 | 1.02 |
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- | YOLOv5s | CSPNet | 100 | 96.82 | 7.20 | 7.05 | 3.91 |
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- | YOLOv5s6 | CSPNet | 100 | 96.83 | 9.05 | 12.31 | 3.88 |
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- | YOLOv5m | CSPNet | 100 | 97.16 | 9.59 | 21.04 | 12.07 |
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- | YOLOv5m6 | CSPNet | 100 | 97.10 | 12.11 | 35.25 | 11.76 |
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- | YOLOv5l | CSPNet | 100 | 96.68 | 12.39 | 46.60 | 27.38 |
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- | YOLOv5l6 | CSPNet | 100 | 96.29 | 15.73 | 76.16 | 110.2 |
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- | YOLOv5n-Face | ShuffleNetv2 | 100 | 95.93 | 10.12 | 1.72 | 1.36 |
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- | YOLOv5n6-Face | ShuffleNetv2 | 100 | 95.59 | 13.30 | 2.54 | 1.38 |
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- | YOLOv5s-Face | CSPNet | 100 | 96.73 | 8.29 | 7.06 | 3.67 |
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- | YOLOv5s6-Face | CSPNet | 100 | 96.36 | 10.86 | 12.37 | 3.75 |
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- | YOLOv5m-Face | CSPNet | 100 | 95.32 | 11.01 | 21.04 | 11.58 |
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- | YOLOv5m6-Face | CSPNet | 100 | 96.32 | 13.97 | 35.45 | 11.84 |
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- | YOLOv5l-Face | CSPNet | 100 | 96.18 | 13.57 | 46.59 | 25.59 |
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- | YOLOv5l6-Face | CSPNet | 100 | 95.76 | 17.29 | 76.67 | 113.2 |
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  **Citation:**
@@ -57,10 +57,13 @@ The TFW dataset is a collection of thermal face images captured in controlled in
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  **GitHub Repository:** [https://github.com/IS2AI/TFW](https://github.com/IS2AI/TFW)
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- **Additional Resources:**
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- * Paper (TechRxiv): [https://www.techrxiv.org/articles/preprint/TFW_Annotated_Thermal_Faces_in_the_Wild_Dataset/17004538](https://www.techrxiv.org/articles/preprint/TFW_Annotated_Thermal_Faces_in_the_Wild_Dataset/17004538) *(Note: Abstract access may be restricted)*
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- * Paper (IEEE Xplore): [https://ieeexplore.ieee.org/abstract/document/9781417](https://ieeexplore.ieee.org/abstract/document/9781417)
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- * YouTube Video: [https://www.youtube.com/watch?v=QgXi3rLv1jM](https://www.youtube.com/watch?v=QgXi3rLv1jM)
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- **(Note: Links to the dataset download locations have been omitted as requested.)**
 
 
 
 
 
 
 
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  **Summary:**
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+ The TFW dataset provides a collection of thermal face images captured in diverse environments: controlled indoor (c-indoor), semi-controlled indoor (s-indoor), and uncontrolled outdoor (u-outdoor). It's annotated with bounding boxes and 5-point facial landmarks. The dataset is accompanied by pre-trained YOLOv5 and YOLO5Face models for thermal face detection, trained and evaluated on the TFW data. The dataset builds upon the SpeakingFaces dataset for its c-indoor portion.
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+ **Dataset Statistics:**
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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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+ **Example Annotated Images:**
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+ [Insert image here from the provided link: https://github.com/IS2AI/TFW/blob/main/figures/example.png]
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+ **Pre-trained Models:**
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+ | Model | Backbone | c-indoor AP<sub>50</sub> | u-outdoor AP<sub>50</sub> | Speed (ms) V100 b1 | Params (M) | Flops (G) @512x384 |
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+ |-----------------|--------------|-------------------------|-------------------------|----------------------|-------------|--------------------|
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+ | YOLOv5n | CSPNet | 100 | 97.29 | 6.16 | 1.76 | 0.99 |
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+ | YOLOv5n6 | CSPNet | 100 | 95.79 | 8.18 | 3.09 | 1.02 |
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+ | YOLOv5s | CSPNet | 100 | 96.82 | 7.20 | 7.05 | 3.91 |
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+ | YOLOv5s6 | CSPNet | 100 | 96.83 | 9.05 | 12.31 | 3.88 |
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+ | YOLOv5m | CSPNet | 100 | 97.16 | 9.59 | 21.04 | 12.07 |
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+ | YOLOv5m6 | CSPNet | 100 | 97.10 | 12.11 | 35.25 | 11.76 |
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+ | YOLOv5l | CSPNet | 100 | 96.68 | 12.39 | 46.60 | 27.38 |
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+ | YOLOv5l6 | CSPNet | 100 | 96.29 | 15.73 | 76.16 | 110.2 |
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+ | YOLOv5n-Face | ShuffleNetv2 | 100 | 95.93 | 10.12 | 1.72 | 1.36 |
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+ | YOLOv5n6-Face | ShuffleNetv2 | 100 | 95.59 | 13.30 | 2.54 | 1.38 |
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+ | YOLOv5s-Face | CSPNet | 100 | 96.73 | 8.29 | 7.06 | 3.67 |
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+ | YOLOv5s6-Face | CSPNet | 100 | 96.36 | 10.86 | 12.37 | 3.75 |
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+ | YOLOv5m-Face | CSPNet | 100 | 95.32 | 11.01 | 21.04 | 11.58 |
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+ | YOLOv5m6-Face | CSPNet | 100 | 96.32 | 13.97 | 35.45 | 11.84 |
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+ | YOLOv5l-Face | CSPNet | 100 | 96.18 | 13.57 | 46.59 | 25.59 |
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+ | YOLOv5l6-Face | CSPNet | 100 | 95.76 | 17.29 | 76.67 | 113.2 |
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  **Citation:**
 
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  **GitHub Repository:** [https://github.com/IS2AI/TFW](https://github.com/IS2AI/TFW)
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+ **Paper:** [https://www.techrxiv.org/articles/preprint/TFW_Annotated_Thermal_Faces_in_the_Wild_Dataset/17004538](https://www.techrxiv.org/articles/preprint/TFW_Annotated_Thermal_Faces_in_the_Wild_Dataset/17004538) (Open Access) [https://ieeexplore.ieee.org/abstract/document/9781417](https://ieeexplore.ieee.org/abstract/document/9781417) (IEEE)
 
 
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+ **YouTube Video:** [https://www.youtube.com/watch?v=QgXi3rLv1jM](https://www.youtube.com/watch?v=QgXi3rLv1jM)
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+ [Insert demo GIF here from the provided link: https://github.com/IS2AI/TFW/blob/main/figures/demo.gif]
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+ [Insert YOLOv5 results image here from the provided link: https://github.com/IS2AI/TFW/blob/main/figures/yolov5.png]
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+ [Insert YOLOv5-Face results image here from the provided link: https://github.com/IS2AI/TFW/blob/main/figures/yolov5_face.png]