Training and testing labelled image and video datasets of human faces for different indoor visual comfort and glare visual discomfort situations

Hicham Johra; Martin Veit; Mathias Østergaard Poulsen; Albert Daugbjerg Christensen; Rikke Gade; Thomas B. Moeslund; Rasmus Lund Jensen

doi:10.54337/aau542153983

Training and testing labelled image and video datasets of human faces for different indoor visual comfort and glare visual discomfort situations

Hicham Johra^*, Martin Veit, Mathias Østergaard Poulsen, Albert Daugbjerg Christensen, Rikke Gade, Thomas B. Moeslund, Rasmus Lund Jensen

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Abstract

The aim of this technical report is to provide a description and access to labelled image and video datasets of human faces that have been generated for different indoor visual comfort and glare visual discomfort situations. These datasets have been used to train and test a computer-vision artificial neural network detecting glare discomfort from images of human faces.

Originalsprog	Engelsk

Udgivelsessted	Aalborg
Forlag	Department of the Built Environment, Aalborg University
Antal sider	20
DOI	https://doi.org/10.54337/aau542153983
Status	Udgivet - jul. 2023

Navn	DCE Technical Reports
Nummer	316
ISSN	1901-726X

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Aalborg University
building study case

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10.54337/aau542153983

Tech Report 316 - SCODYF training datasetForlagets udgivne version, 493 KBLicens: CC BY-NC 4.0

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1 Afsluttet

AI for optimizing indoor visual comfort from facial analysis
Johra, H. (PI (principal investigator)), Moeslund, T. B. (Projektdeltager), Gade, R. (Projektdeltager), Jensen, R. L. (Projektdeltager), Petrova, E. A. (Projektdeltager) & Rohde, L. (Projektdeltager)
01/01/2021 → 30/06/2021
Projekter: Projekt › Forskning

1 Konferenceartikel i tidsskrift

Artificial Intelligence for Detecting Indoor Visual Discomfort from Facial Analysis of Building Occupants
Johra, H., Gade, R., Poulsen, M. Ø., Christensen, A. D., Sarey Khanie, M., Moeslund, T. B. & Jensen, R. L., 2021, I: Journal of Physics: Conference Series (Online). 2042, 1, 012008.
Publikation: Bidrag til tidsskrift › Konferenceartikel i tidsskrift › Forskning › peer review

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4 Citationer (Scopus)

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Training and testing labelled dataset of human faces for different indoor visual comfort and glare visual discomfort situations - images
Johra, H. (Ophavsperson) & Veit, M. (Ophavsperson), Zenodo, 1 jun. 2022
DOI: 10.5281/zenodo.6895080, https://zenodo.org/record/6895080
Datasæt
Training and testing labelled dataset of human faces for different indoor visual comfort and glare visual discomfort situations - videos
Johra, H. (Ophavsperson) & Veit, M. (Ophavsperson), Zenodo, 1 jun. 2022
DOI: 10.5281/zenodo.6895054, https://zenodo.org/record/6895054
Datasæt

Citationsformater

Johra, H., Veit, M., Poulsen, M. Ø., Christensen, A. D., Gade, R., Moeslund, T. B., & Jensen, R. L. (2023). Training and testing labelled image and video datasets of human faces for different indoor visual comfort and glare visual discomfort situations. Department of the Built Environment, Aalborg University. DCE Technical Reports Nr. 316 https://doi.org/10.54337/aau542153983

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abstract = "The aim of this technical report is to provide a description and access to labelled image and video datasets of human faces that have been generated for different indoor visual comfort and glare visual discomfort situations. These datasets have been used to train and test a computer-vision artificial neural network detecting glare discomfort from images of human faces.",

keywords = "glare, glare discomfort, visual discomfort, empirical data, human face analysis, AI, CNN, Computer Vision, training dataset, Aalborg University, building study case",

author = "Hicham Johra and Martin Veit and Poulsen, {Mathias {\O}stergaard} and Christensen, {Albert Daugbjerg} and Rikke Gade and Moeslund, {Thomas B.} and Jensen, {Rasmus Lund}",

year = "2023",

month = jul,

doi = "10.54337/aau542153983",

language = "English",

series = "DCE Technical Reports",

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Johra, H , Veit, M, Poulsen, MØ, Christensen, AD, Gade, R , Moeslund, TB & Jensen, RL 2023, Training and testing labelled image and video datasets of human faces for different indoor visual comfort and glare visual discomfort situations. DCE Technical Reports, nr. 316, Department of the Built Environment, Aalborg University, Aalborg. https://doi.org/10.54337/aau542153983

Training and testing labelled image and video datasets of human faces for different indoor visual comfort and glare visual discomfort situations. / Johra, Hicham ; Veit, Martin; Poulsen, Mathias Østergaard et al.
Aalborg: Department of the Built Environment, Aalborg University, 2023. 20 s. (DCE Technical Reports; Nr. 316).

Publikation: Bog/antologi/afhandling/rapport › Rapport › Forskning

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Training and testing labelled image and video datasets of human faces for different indoor visual comfort and glare visual discomfort situations

Abstract

Emneord

FN’s Verdensmål

Adgang til dokumentet

AUB Link

Fingeraftryk

Projekter

AI for optimizing indoor visual comfort from facial analysis

Publikation

Artificial Intelligence for Detecting Indoor Visual Discomfort from Facial Analysis of Building Occupants

Forskningsdatasæt

Training and testing labelled dataset of human faces for different indoor visual comfort and glare visual discomfort situations - images

Training and testing labelled dataset of human faces for different indoor visual comfort and glare visual discomfort situations - videos

Citationsformater