Update README.md

README.md

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-# OpenThermalPose: Open-Source Annotated Thermal Human Pose 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)
-
-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.
-
-
-
-
-
-
-
-## 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   |
-
-
-
-
-<!-- ## 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
-
-**OpenThermalPose:**
-
-```bibtex
-@INPROCEEDINGS{10581992,
-  keywords={Privacy;Annotations;Source coding;Pose estimation;Lighting;Medical services;Motion capture},
-  doi={10.1109/FG59268.2024.10581992}}
-```
+---
+license: mit
+task_categories:
+- object-detection
+tags:
+- thermal human pose estimation
+pretty_name: otp
+size_categories:
+- 1K<n<10K
+---
+# OpenThermalPose: An Open-Source Annotated Thermal Human Pose Dataset
+**Paper:** [OpenThermalPose: An Open-Source Annotated Thermal Human Pose Dataset and Initial YOLOv8-Pose Baselines](https://ieeexplore.ieee.org/document/10581992)
+
+**GitHub:** [https://github.com/IS2AI/OpenThermalPose](https://github.com/IS2AI/OpenThermalPose)
+
+**Description:** The OpenThermalPose dataset provides 6,090 images of 31 subjects and 14,315 annotated human instances. Annotations include bounding boxes and 17 anatomical keypoints, following the conventions used in the benchmark MS COCO Keypoint dataset. The dataset covers various fitness exercises, multiple-person activities, and outdoor walking in different locations under different weather conditions. 
+As a baseline, we trained and evaluated the YOLOv8-pose models (nano, small, medium, large, and x-large) on this dataset. The pre-trained models are available at our GitHub repository.