UPPET (Unified Pedestrian Pose Estimation in Thermal Imaging) is a benchmark for pedestrian pose estimation in thermal imagery. It unifies four thermal datasets under a common annotation format and evaluation protocol, enabling both within-dataset and cross-dataset evaluation of human pose estimation methods.
The benchmark combines the newly introduced CAMEL-P and TPE datasets with LLVIP-Pose and an extended version of OpenThermalPose, providing 33,654 thermal… See the full description on the dataset page:
https://huggingface.co/datasets/MCormier-KA/uppet_dataset.