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README.md

@@ -1,23 +1,35 @@
 # OpenThermalPose and OpenThermalPose2: Open-Source Annotated Thermal Human Pose Datasets
 
-This Hugging Face dataset card describes the OpenThermalPose and OpenThermalPose2 datasets, two open-source annotated thermal human pose datasets created by Kuzdeuov et al.  These datasets are useful for research in human pose estimation using thermal imagery.
+This repository contains two open-source datasets for thermal human pose estimation: OpenThermalPose and its extension, OpenThermalPose2.  Both datasets provide annotations of human poses in thermal imagery, suitable for training and evaluating pose estimation models.  Pre-trained YOLOv8-pose and YOLOv11-pose models are also provided as baselines.
+
+**Repository:** [Link to the Hugging Face repository will go here]
+
 
 ## OpenThermalPose
 
-**Summary:** OpenThermalPose provides 6,090 images of 31 subjects, totaling 14,315 annotated human instances. Each instance includes bounding boxes and 17 anatomical keypoints, consistent with the MS COCO Keypoint dataset.  The dataset features diverse scenarios including fitness exercises, multiple-person activities, and outdoor walking under varying weather conditions.  Baseline results using YOLOv8-pose models (nano, small, medium, large, and x-large) are also provided.
+OpenThermalPose consists of 6,090 images depicting 31 subjects and 14,315 annotated human instances.  Each instance includes a bounding box and 17 annotated keypoints, following the MS COCO Keypoint dataset convention.  The dataset captures various scenarios, including fitness exercises, multi-person activities, and outdoor walking under diverse weather conditions.
 
 
 ## OpenThermalPose2
 
-**Summary:** OpenThermalPose2 extends the original dataset with significantly more data, subjects, and poses.  It contains 11,391 images of 170 subjects and 21,125 annotated human instances.  The expanded dataset includes additional scenarios like persons sitting indoors, maintaining the diversity of fitness exercises, multiple-person activities, and outdoor walking under various weather conditions.  YOLOv8-pose and YOLO11-pose models (nano, small, medium, large, and x-large) were trained and evaluated on this expanded dataset.
+OpenThermalPose2 expands upon the original dataset, containing 11,391 images of 170 subjects and 21,125 annotated human instances.  It encompasses a broader range of activities, including those in OpenThermalPose, as well as individuals sitting indoors.
 
 
 ## Dataset Statistics
 
-| Dataset       | # Images | # Subjects | # Instances | Keypoints | Scenarios                               |
-|---------------|----------|------------|-------------|------------|-------------------------------------------|
-| OpenThermalPose | 6,090     | 31         | 14,315       | 17         | Fitness exercises, multiple-person activities, outdoor walking |
-| OpenThermalPose2| 11,391    | 170        | 21,125      | 17         | Fitness exercises, multiple-person activities, indoor sitting, outdoor walking |
+| Dataset        | Images | Subjects | Instances | Keypoints | Activities                                      | Environments      |
+|----------------|--------|----------|-----------|------------|-------------------------------------------------|--------------------|
+| OpenThermalPose | 6,090  | 31       | 14,315     | 17         | Fitness exercises, multi-person activities, walking | Indoor, Outdoor   |
+| OpenThermalPose2| 11,391 | 170      | 21,125     | 17         | Fitness exercises, multi-person activities, walking, sitting | Indoor, Outdoor   |
+
+
+## Example Images
+
+[Example images would go here if included.  The example image links in the original content are relative and may not work when uploaded to Hugging Face.  If the images can be readily accessed and hosted, they should be included directly]
+
+## Baselines
+
+YOLOv8-pose and YOLOv11-pose models (nano, small, medium, large, and x-large) were trained and evaluated on both datasets.  Pre-trained models are available for download.
 
 
 ## Citations
@@ -40,14 +52,11 @@ This Hugging Face dataset card describes the OpenThermalPose and OpenThermalPose
 **OpenThermalPose2:**
 
 ```bibtex
-Askat Kuzdeuov, Miras Zakaryanov, Alim Tleuliyev, and Huseyin Atakan Varol. OpenThermalPose2: Extending the Open-Source Annotated Thermal Human Pose Dataset With More Data, Subjects, and Poses. TechRxiv. October 18, 2024, DOI: 10.36227/techrxiv.172926774.47783447/v1.
+@article{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},
+  doi={10.36227/techrxiv.172926774.47783447/v1}
+}
 ```
-
-## Repository
-
-[https://github.com/IS2AI/OpenThermalPose](https://github.com/IS2AI/OpenThermalPose)
-
-
-##  Images
-
-**(Images from the GitHub repository showing example scenarios are included in the original content, but are not reproduced here due to the limitations of this response format.)**