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LiFLabUC/NoseNet-training-data

Thermal face visibility and nose detection datasets This repository contains the YOLO-format annotated thermal frames used to fine-tune the two YOLOv5m models described in the manuscript Open-standard infrared thermography implementation based on machine learning object identification for studying facial thermal variations at less restrictive settings. Direct participant identifiers have been removed from the uploaded filenames. The private correspondence between original and… See the full description on the dataset page: https://huggingface.co/datasets/LiFLabUC/NoseNet-training-data.

Author / organizationLiFLabUC
License (as declared)other
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Created15 October 2026
Last updated at source16 October 2026
yoloyolov5transfer-learningthermal-imaginginfrared-thermography
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