  This dataset includes 6823 thermal images captured using a UNI-T UTi165A
camera for face detection, recognition, and emotion analysis. It consists of
2485 facial recognition images depicting emotions (happy, sad, angry, natural,
surprised), 2054 images for face recognition, and 2284 images for face
detection. The dataset covers various conditions, color palettes, shooting
angles, and zoom levels, with a temperature range of -10{\deg}C to 400{\deg}C
and a resolution of 19,200 pixels. It serves as a valuable resource for
advancing thermal imaging technology, aiding in algorithm development, and
benchmarking for facial recognition across different palettes. Additionally, it
contributes to facial motion recognition, fostering interdisciplinary
collaboration in computer vision, psychology, and neuroscience. The dataset
promotes transparency in thermal face detection and recognition research, with
applications in security, healthcare, and human-computer interaction.
