Fix mistakes

README.md

@@ -1,18 +1,12 @@
-# OpenThermalPose and OpenThermalPose2: Open-Source Annotated Thermal Human Pose Datasets
-
-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: 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
 
 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
-
-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.
+as individuals sitting indoors.
 
 
 ## Dataset Statistics
@@ -23,13 +17,9 @@ OpenThermalPose2 expands upon the original dataset, containing 11,391 images of
 | 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
 
-## 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.
+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
@@ -48,15 +38,3 @@ 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,
-  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}
-}
-```