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---
license: mit
task_categories:
- object-detection
tags:
- thermal human pose estimation
pretty_name: otp2
size_categories:
- 10K<n<100K
---
# OpenThermalPose2: Extending the Open-Source Annotated Thermal Human Pose Dataset With More Data, Subjects, and Poses
**Paper:** [OpenThermalPose2: Extending the Open-Source Annotated Thermal Human Pose Dataset With More Data, Subjects, and Poses](https://www.techrxiv.org/users/682600/articles/1231799-openthermalpose2-extending-the-open-source-annotated-thermal-human-pose-dataset-with-more-data-subjects-and-poses)
**GitHub:** [https://github.com/IS2AI/OpenThermalPose](https://github.com/IS2AI/OpenThermalPose)
**Description:** We extended our [OpenThermalPose](https://huggingface.co/datasets/issai/OpenThermalPose) dataset with more data, subjects, and poses. The new OpenThermalPose2 dataset contains 11,391 images of 170 subjects and 21,125 annotated human instances.
The dataset covers various fitness exercises, multiple-person activities, persons sitting in an indoor environment, and persons walking in outdoor locations under different weather conditions.
We trained and evaluated the YOLOv8-pose and YOLO11-pose models (nano, small, medium, large, and x-large) on this dataset. The pre-trained models are available at our GitHub repository.
**Citation:**
```bibtex
@misc{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},
year={2024},
publisher={TechRxiv},
doi={10.36227/techrxiv.172926774.47783447/v1}
}
``` |