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

GitHub: https://github.com/IS2AI/OpenThermalPose

Description: We extended our 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:

@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}
}