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README.md

@@ -1,41 +1,53 @@
-# OpenThermalPose and OpenThermalPose2: Open-Source Annotated Thermal Human Pose Datasets
+# Dataset Card for OpenThermalPose and OpenThermalPose2
 
-**Repository:** [https://github.com/IS2AI/OpenThermalPose](https://github.com/IS2AI/OpenThermalPose) 
+## Summary
 
+This repository contains two open-source annotated thermal human pose datasets, OpenThermalPose and its extension OpenThermalPose2, along with pre-trained YOLOv8-pose and YOLOv11-pose models.  OpenThermalPose provides 6,090 images of 31 subjects and 14,315 annotated human instances, while OpenThermalPose2 significantly expands this with 11,391 images of 170 subjects and 21,125 annotated instances.  Annotations include bounding boxes and 17 keypoints, consistent with the MS COCO Keypoint dataset. The datasets depict various activities including fitness exercises, multiple-person interactions, outdoor walking, and indoor sitting, under diverse weather and lighting conditions.  Pre-trained models are provided for YOLOv8-pose and YOLOv11-pose (nano, small, medium, large, and x-large versions).
 
-This repository contains extension of open-source annotated thermal human pose datasets [OpenThermalPose](https://huggingface.co/datasets/issai/OpenThermalPose).  These datasets provide a valuable resource for research in thermal-based human pose estimation.  They are accompanied by baseline results using YOLOv8-pose and YOLOv11-pose models.
 
-OpenThermalPose2 significantly expands upon its predecessor. It includes 11,391 images depicting 170 subjects and 21,125 annotated human instances.  The expanded dataset encompasses a broader range of activities, including fitness exercises, multiple-person interactions, indoor sitting, and outdoor walking in various weather conditions.
+## Dataset Information
 
+| Dataset        | # Images | # Subjects | # Annotated Instances | Description                                                                                             |
+|----------------|----------|------------|-----------------------|---------------------------------------------------------------------------------------------------------|
+| OpenThermalPose | 6,090     | 31         | 14,315                  | Fitness exercises, multiple-person activities, outdoor walking under various weather conditions.     |
+| OpenThermalPose2| 11,391    | 170        | 21,125                  | Extends OpenThermalPose with more data, subjects, and poses; includes indoor sitting scenarios.       |
 
-## Dataset Statistics
 
-| Dataset          | Images | Subjects | Annotated Instances | Activities                                      | Environments                               |
-|-----------------|--------|----------|----------------------|-------------------------------------------------|-------------------------------------------|
-| OpenThermalPose  | 6,090  | 31       | 14,315                 | Fitness exercises, multiple-person activities, outdoor walking | Outdoor, various weather conditions          |
-| OpenThermalPose2 | 11,391 | 170      | 21,125                 | Fitness exercises, multiple-person activities, indoor sitting, outdoor walking | Indoor, outdoor, various weather conditions |
-
-
-## Model Baselines
-
-YOLOv8-pose and YOLOv11-pose models (nano, small, medium, large, and x-large) were trained and evaluated on both datasets.  Details on training, validation, and model usage can be found in the Ultralytics documentation [^1].
+## Citations
 
+**OpenThermalPose:**
 
-## Citations
+```bibtex
+@INPROCEEDINGS{10581992,
+  author={Kuzdeuov, Askat and Taratynova, Darya and Tleuliyev, Alim and Varol, Huseyin Atakan},
+  booktitle={2024 IEEE 18th International Conference on Automatic Face and Gesture Recognition (FG)}, 
+  title={OpenThermalPose: An Open-Source Annotated Thermal Human Pose Dataset and Initial YOLOv8-Pose Baselines}, 
+  year={2024},
+  volume={},
+  number={},
+  pages={1-8},
+  keywords={Privacy;Annotations;Source coding;Pose estimation;Lighting;Medical services;Motion capture},
+  doi={10.1109/FG59268.2024.10581992}}
+```
 
+**OpenThermalPose2:**
 
 ```bibtex
-@article{kuzdeuov2024openthermalpose2,
+@misc{kuzdeuov2024openthermalpose2,
   title={OpenThermalPose2: Extending the Open-Source Annotated Thermal Human Pose Dataset With More Data, Subjects, and Poses},
   author={Kuzdeuov, Askat and Zakaryanov, Miras and Tleuliyev, Alim and Varol, Huseyin Atakan},
-  journal={TechRxiv},
   year={2024},
-  volume={v1},
+  publisher={TechRxiv},
   doi={10.36227/techrxiv.172926774.47783447/v1}
 }
 ```
 
-[^1]: https://docs.ultralytics.com/tasks/pose/
+##  References
+
+1. [Ultralytics](https://github.com/ultralytics/ultralytics)
+2. [Ultralytics Pose Documentation](https://docs.ultralytics.com/tasks/pose/)
 
 
+## GitHub Repository
 
+[https://github.com/IS2AI/OpenThermalPose](https://github.com/IS2AI/OpenThermalPose)