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README.md

@@ -1,45 +1,61 @@
-# TFW: Annotated Thermal Faces in the Wild Dataset
+# TFW: Annotated Thermal Faces in the Wild Dataset Card
 
-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).
+**Repository:** [https://github.com/IS2AI/TFW](https://github.com/IS2AI/TFW)
 
-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).
-
-**Dataset Statistics:**
-
-* **Total Images:** 9,982
-* **Total Labeled Faces:** 16,509
-
-**Data Splits:**
-
-* **c-indoor:** 142 subjects, 5,112 images, 5,112 labeled faces. Visual pairs are available.
-* **s-indoor:** 9 subjects, 780 images, 1,748 labeled faces. Visual pairs are available.
-* **u-outdoor:** 15 subjects, 4,090 images, 9,649 labeled faces. Visual pairs are not available.
-
-
-**Example Images:**
-
-[Image: https://github.com/IS2AI/TFW/blob/main/figures/example.png]
+**Summary Description:**
 
+The TFW dataset comprises thermal images captured in controlled indoor, semi-controlled indoor, and uncontrolled outdoor environments.  It's a multi-environment dataset, leveraging a previously published SpeakingFaces dataset for its controlled indoor component. The remaining images were acquired using a FLIR T540 thermal camera.  Each image is manually annotated with bounding boxes for faces and five facial landmarks. The dataset is valuable for thermal face recognition research and applications.
 
-**Dataset Download:**
 
-The dataset can be downloaded from Google Drive [link removed].
+**Summary of Abstract (Unavailable):**
 
+The abstract from the linked TechRxiv preprint was inaccessible.
 
-**Pre-trained Models:**
 
-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.
-
-
-**Demo:**
-
-[GIF: https://github.com/IS2AI/TFW/blob/main/figures/demo.gif]
-
-**Example YOLOv5 Detection Results:**
-
-[Image: https://github.com/IS2AI/TFW/blob/main/figures/yolov5.png]
-
-**Example YOLO5Face Detection Results:**
-
-[Image: https://github.com/IS2AI/TFW/blob/main/figures/yolov5_face.png]
+**Dataset Statistics:**
 
+| 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 |
+
+
+**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}}
+```
+
+**Pre-trained Models Table:**
+
+| Model  | Backbone | c-indoor AP<sub>50</sub> | u-outdoor AP<sub>50</sub> | Speed (ms) V100 b1 | Params (M) | Flops (G) @512x384 |
+|---|---|---|---|---|---|---|
+| YOLOv5n | CSPNet  | 100  | 97.29 | 6.16  | 1.76  | 0.99 |
+| YOLOv5n6 | CSPNet  | 100  | 95.79 | 8.18  | 3.09  | 1.02 |
+| YOLOv5s | CSPNet  | 100  | 96.82 | 7.20  | 7.05  | 3.91 |
+| YOLOv5s6 | CSPNet  | 100  | 96.83 | 9.05  | 12.31 | 3.88 |
+| YOLOv5m | CSPNet  | 100  | 97.16 | 9.59  | 21.04 | 12.07 |
+| YOLOv5m6 | CSPNet  | 100  | 97.10 | 12.11 | 35.25 | 11.76 |
+| YOLOv5l | CSPNet  | 100  | 96.68 | 12.39 | 46.60 | 27.38 |
+| YOLOv5l6 | CSPNet  | 100  | 96.29 | 15.73 | 76.16 | 110.2 |
+| YOLOv5n-Face | ShuffleNetv2 | 100  | 95.93 | 10.12 | 1.72 | 1.36 |
+| YOLOv5n6-Face | ShuffleNetv2 | 100  | 95.59 | 13.30 | 2.54 | 1.38 |
+| YOLOv5s-Face | CSPNet  | 100  | 96.73 | 8.29  | 7.06  | 3.67 |
+| YOLOv5s6-Face | CSPNet  | 100  | 96.36 | 10.86 | 12.37 | 3.75 |
+| YOLOv5m-Face | CSPNet  | 100  | 95.32 | 11.01 | 21.04 | 11.58 |
+| YOLOv5m6-Face | CSPNet  | 100  | 96.32 | 13.97 | 35.45 | 11.84 |
+| YOLOv5l-Face | CSPNet  | 100  | 96.18 | 13.57 | 46.59 | 25.59 |
+| YOLOv5l6-Face | CSPNet  | 100  | 95.76 | 17.29 | 76.67 | 113.2 |
+
+
+**(Note: Links to pre-trained models and example images are omitted as requested.)**