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README.md

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-# OpenThermalPose and OpenThermalPose2: Open-Source Annotated Thermal Human Pose Datasets
+# OpenThermalPose and OpenThermalPose2 Datasets Card
 
-This dataset card describes OpenThermalPose and its extension, OpenThermalPose2, two open-source datasets for thermal human pose estimation.
+## Dataset Summary
 
-## OpenThermalPose
-
-OpenThermalPose provides 6,090 images of 31 subjects, encompassing 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 various fitness exercises, multiple-person activities, and outdoor walking under varying weather conditions.
+This dataset card describes OpenThermalPose and its extension, OpenThermalPose2, two open-source datasets for thermal human pose estimation.  These datasets contain annotated thermal images of humans performing various activities, including fitness exercises, multiple-person interactions, and walking in diverse outdoor and indoor environments.  Annotations include bounding boxes and 17 keypoints per human instance, consistent with the MS COCO Keypoint dataset.  Pre-trained YOLOv8-pose and YOLO11-pose models are also provided as baselines.
 
+## OpenThermalPose
 
-**Dataset Content:**
-
-* **Images:** 6,090 thermal images
+* **Images:** 6,090
 * **Subjects:** 31
-* **Instances:** 14,315 annotated human instances
-* **Annotations:** Bounding boxes and 17 keypoints per instance
+* **Annotated Instances:** 14,315
+* **Annotations:** Bounding boxes, 17 keypoints
+* **Activities:** Fitness exercises, multiple-person activities, outdoor walking
+* **Conditions:** Varied weather conditions and locations
+* **Download:** [Link to Dataset](https://drive.google.com/file/d/1C5ThcFZm1twYtEta8GWUe1SENc9ER_0t/view?usp=sharing)
+* **Pre-trained Models:** [Link to Pre-trained Models](https://drive.google.com/file/d/1BS2AB6wGRjZ8Tvz44_jkURR6moRpVS1j/view?usp=sharing)
 
-**Dataset Download:** [https://drive.google.com/file/d/1C5ThcFZm1twYtEta8GWUe1SENc9ER_0t/view?usp=sharing](https://drive.google.com/file/d/1C5ThcFZm1twYtEta8GWUe1SENc9ER_0t/view?usp=sharing)
 
-**Pre-trained YOLOv8-pose Models Download:** [https://drive.google.com/file/d/1BS2AB6wGRjZ8Tvz44_jkURR6moRpVS1j/view?usp=sharing](https://drive.google.com/file/d/1BS2AB6wGRjZ8Tvz44_jkURR6moRpVS1j/view?usp=sharing)
+## OpenThermalPose2
 
+* **Images:** 11,391
+* **Subjects:** 170
+* **Annotated Instances:** 21,125
+* **Annotations:** Bounding boxes, 17 keypoints
+* **Activities:** Fitness exercises, multiple-person activities, indoor sitting, outdoor walking
+* **Conditions:** Varied weather conditions and locations, indoor and outdoor settings
+* **Download:** [Link to Dataset](https://drive.google.com/file/d/1BDVprz9NtenCp3wDovA2lfKVBzJDCTt2/view?usp=sharing)
+* **Pre-trained Models:** [Link to Pre-trained Models](https://drive.google.com/file/d/19bvKSNKs3Z-8EFSJcTMaI-MdkNwVKh1f/view?usp=sharing)
 
-## OpenThermalPose2
 
-OpenThermalPose2 expands upon OpenThermalPose, offering a significantly larger dataset. It contains 11,391 images of 170 subjects and 21,125 annotated human instances.  The expanded dataset includes additional scenarios such as persons sitting indoors, broadening the range of poses and environments represented.
+## Dataset Examples
 
-**Dataset Content:**
+**(Images showcasing various activities and settings are included here.  Refer to the original text for image links.)**
 
-* **Images:** 11,391 thermal images
-* **Subjects:** 170
-* **Instances:** 21,125 annotated human instances
-* **Annotations:** Bounding boxes and 17 keypoints per instance
 
-**Dataset Download:** [https://drive.google.com/file/d/1BDVprz9NtenCp3wDovA2lfKVBzJDCTt2/view?usp=sharing](https://drive.google.com/file/d/1BDVprz9NtenCp3wDovA2lfKVBzJDCTt2/view?usp=sharing)
+##  Model Baselines
 
-**Pre-trained YOLOv8-pose and YOLO11-pose Models Download:** [https://drive.google.com/file/d/19bvKSNKs3Z-8EFSJcTMaI-MdkNwVKh1f/view?usp=sharing](https://drive.google.com/file/d/19bvKSNKs3Z-8EFSJcTMaI-MdkNwVKh1f/view?usp=sharing)
+YOLOv8-pose and YOLO11-pose (nano, small, medium, large, and x-large) models were trained and evaluated on both datasets.  Further details on training and evaluation can be found in the provided preprints.  The models utilize the Ultralytics library.
 
-**Sample Images:**
 
-[Image 1: Sports exercises and two-person activities in an indoor environment](https://github.com/IS2AI/OpenThermalPose/blob/main/session_1_2.png)
-[Image 2: Walking in outdoor environments](https://github.com/IS2AI/OpenThermalPose/blob/main/3370.png)
-[Image 3: Sitting in an indoor environment](https://github.com/IS2AI/OpenThermalPose/blob/main/102_1_2_4_15_101_1.png)
+## Additional Information
 
+* **Preprint (OpenThermalPose):** [TechRxiv Link](https://www.techrxiv.org/users/682600/articles/741508-openthermalpose-an-open-source-annotated-thermal-human-pose-dataset-and-initial-yolov8-pose-baselines)
+* **Preprint (OpenThermalPose2):** [TechRxiv Link](https://www.techrxiv.org/users/682600/articles/1231799-openthermalpose2-extending-the-open-source-annotated-thermal-human-pose-dataset-with-more-data-subjects-and-poses)
+* **Ultralytics Documentation:** [Link to Ultralytics Docs](https://docs.ultralytics.com/tasks/pose/)
 
-##  Model Training and Evaluation
 
-YOLOv8-pose and YOLO11-pose models (nano, small, medium, large, and x-large) were trained and evaluated on both datasets.  Further details on model training, validation, and prediction can be found in the Ultralytics documentation: [https://docs.ultralytics.com/tasks/pose/](https://docs.ultralytics.com/tasks/pose/).