This dataset contains pairs of thermal and RGB images captured using a FLIR Lepton3.5 thermal sensor and a Raspberry Pi camera v2, respectively. The dataset includes a total of 33,228 image pairs captured under different environmental conditions, with one human occupant in a standing position and an upper-body pose. The clothing of the occupant is in one of three colors. The images have a heatmap resolution of 16 × 12 and an RGB resolution of 128 × 96, and the field of view for each image is 71◦ × 57◦. The dataset includes two persons.
This dataset.zip can be used to generate corresponding color RGB images through thermal imaging. We used this dataset in our paper "Privacy-Preserving Video Conferencing via Thermal-Generative Images", and a result demo video can be found at YouTube1.
conda run -n spadeSRpytorch python inference.py --cfg_path cfgs/SPADE_SR_64_G400_I200.yaml
If you use this dataset in your research, please cite our paper:
[Privacy-Preserving Video Conferencing via Thermal-Generative Images] by [Authors], published in ICRA, 2023.
Footnotes
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https://youtu.be/angJdjjt3Fs (We create a PAIR-LRT-Human dataset to validate our claims.) ↩