Upload README.md with huggingface_hub

README.md

@@ -0,0 +1,46 @@
+# OpenThermalPose and OpenThermalPose2: Open-Source Annotated Thermal Human Pose Datasets
+
+This dataset card describes OpenThermalPose and its extension, OpenThermalPose2, two open-source datasets for thermal human pose estimation.
+
+## 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.
+
+
+**Dataset Content:**
+
+* **Images:** 6,090 thermal images
+* **Subjects:** 31
+* **Instances:** 14,315 annotated human instances
+* **Annotations:** Bounding boxes and 17 keypoints per instance
+
+**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
+
+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 Content:**
+
+* **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)
+
+**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)
+
+**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)
+
+
+##  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/).