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README.md

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-# OpenThermalPose: Open-Source Annotated Thermal Human Pose Datasets
+# OpenThermalPose Datasets
 
-This repository contains open-source dataset for thermal human pose estimation: OpenThermalPose.  Dataset provide annotations of human poses in thermal imagery, suitable for training and evaluating pose estimation models. 
-The dataset has extension [OpenThermalPose2](https://huggingface.co/datasets/issai/OpenThermalPose2)
+This repository contains two open-source annotated thermal human pose datasets: OpenThermalPose and OpenThermalPose2, along with baseline YOLOv8-Pose and YOLO11-Pose models.  These datasets are valuable resources for research in human pose estimation using thermal imagery.
 
-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.
-as individuals sitting indoors.
+## OpenThermalPose
+
+This dataset comprises 6,090 images of 31 subjects, featuring 14,315 annotated human instances. Each instance is annotated with a bounding box and 17 anatomical keypoints, consistent with the MS COCO Keypoint dataset. The images depict various scenarios, including fitness exercises, multiple-person activities, and outdoor walking under diverse weather conditions.  Baseline YOLOv8-pose models (nano, small, medium, large, and x-large) were trained and evaluated on this dataset.
+
+## OpenThermalPose2
+
+OpenThermalPose2 extends the original dataset with increased data, subjects, and poses. It contains 11,391 images of 170 subjects, resulting in 21,125 annotated human instances.  The expanded dataset includes scenarios like fitness exercises, multiple-person activities, individuals sitting indoors, and outdoor walking under varying weather conditions. YOLOv8-pose and YOLO11-pose models (nano, small, medium, large, and x-large) were trained and evaluated on this dataset.
 
 
 ## Dataset Statistics
 
-| 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   |
+| Dataset          | Images | Subjects | Instances | Keypoints | Model(s) Used |
+|-----------------|--------|----------|-----------|------------|-----------------|
+| OpenThermalPose  | 6,090  | 31       | 14,315    | 17         | YOLOv8-pose     |
+| OpenThermalPose2 | 11,391 | 170      | 21,125    | 17         | YOLOv8-pose, YOLO11-pose |
+
 
+## Examples
 
-<!-- ## Baselines
+<img src="https://github.com/IS2AI/OpenThermalPose/blob/main/session_1_2.png" alt="Sports exercises and two-person activities in an indoor environment">
 
-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. -->
+<img src="https://github.com/IS2AI/OpenThermalPose/blob/main/3370.png" alt="Walking in outdoor environments">
+
+<img src="https://github.com/IS2AI/OpenThermalPose/blob/main/102_1_2_4_15_101_1.png" alt="Sitting in an indoor environment">
 
 
 ## Citations
 
-**OpenThermalPose:**
+#### OpenThermalPose
 
 ```bibtex
 @INPROCEEDINGS{10581992,
@@ -36,3 +44,24 @@ YOLOv8-pose and YOLOv11-pose models (nano, small, medium, large, and x-large) we
   keywords={Privacy;Annotations;Source coding;Pose estimation;Lighting;Medical services;Motion capture},
   doi={10.1109/FG59268.2024.10581992}}
 ```
+
+#### OpenThermalPose2
+
+```bibtex
+@ARTICLE{kuzdeuov2024openthermalpose2,
+  author = {Kuzdeuov, Askat and Zakaryanov, Miras and Tleuliyev, Alim and Varol, Huseyin Atakan},
+  title = {OpenThermalPose2: Extending the Open-Source Annotated Thermal Human Pose Dataset With More Data, Subjects, and Poses},
+  journal = {TechRxiv},
+  year = {2024},
+  doi = {10.36227/techrxiv.172926774.47783447/v1}
+}
+```
+
+##  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)