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Figaro-tresses: A dataset for evaluating hair assembly features before and after cosmetic treatment

The published database is composed of 1,080 images taken from 120 hair tresses made of medium blond, fine Caucasian hair with the aim to facilitate quantitative and qualitative studies about shampoo and conditioner efficacies. Two types of hair tresses were used: Caucasian hair which had not been su...

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Autores principales: Savardi, Mattia, Daniels, Gabriela, Tamburic, Slobodanka, Muhammad, Umar Riaz, Benini, Sergio
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7341347/
https://www.ncbi.nlm.nih.gov/pubmed/32671161
http://dx.doi.org/10.1016/j.dib.2020.105964
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author Savardi, Mattia
Daniels, Gabriela
Tamburic, Slobodanka
Muhammad, Umar Riaz
Benini, Sergio
author_facet Savardi, Mattia
Daniels, Gabriela
Tamburic, Slobodanka
Muhammad, Umar Riaz
Benini, Sergio
author_sort Savardi, Mattia
collection PubMed
description The published database is composed of 1,080 images taken from 120 hair tresses made of medium blond, fine Caucasian hair with the aim to facilitate quantitative and qualitative studies about shampoo and conditioner efficacies. Two types of hair tresses were used: Caucasian hair which had not been subjected to oxidation with bleaching agents – virgin (60 tresses); and Caucasian hair, previously subjected to light oxidative bleaching – lightly bleached (remaining 60 tresses). Since cosmetic products such as shampoos and conditioners are often designed to subtly augment hair assembly features via the carefully balanced cumulative effects of deposited actives, each tress was subjected to consecutive washing+conditioning+drying cycles referred to as cosmetic treatment. The shampoo and conditioner used for this project were specifically selected for their suitability for fine hair. Each tress was photographed at three different time-points: before the cosmetic treatment; after two cosmetic treatments, and after an additional third cosmetic treatment. At each time-point, each tress was photographed from three different angles (−45, 0, and +45°), resulting in a total number of nine images for each tress. For each image in the database, we also provide a corresponding hair segmentation mask, which identifies the hair location area in the original image.
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spelling pubmed-73413472020-07-14 Figaro-tresses: A dataset for evaluating hair assembly features before and after cosmetic treatment Savardi, Mattia Daniels, Gabriela Tamburic, Slobodanka Muhammad, Umar Riaz Benini, Sergio Data Brief Computer Science The published database is composed of 1,080 images taken from 120 hair tresses made of medium blond, fine Caucasian hair with the aim to facilitate quantitative and qualitative studies about shampoo and conditioner efficacies. Two types of hair tresses were used: Caucasian hair which had not been subjected to oxidation with bleaching agents – virgin (60 tresses); and Caucasian hair, previously subjected to light oxidative bleaching – lightly bleached (remaining 60 tresses). Since cosmetic products such as shampoos and conditioners are often designed to subtly augment hair assembly features via the carefully balanced cumulative effects of deposited actives, each tress was subjected to consecutive washing+conditioning+drying cycles referred to as cosmetic treatment. The shampoo and conditioner used for this project were specifically selected for their suitability for fine hair. Each tress was photographed at three different time-points: before the cosmetic treatment; after two cosmetic treatments, and after an additional third cosmetic treatment. At each time-point, each tress was photographed from three different angles (−45, 0, and +45°), resulting in a total number of nine images for each tress. For each image in the database, we also provide a corresponding hair segmentation mask, which identifies the hair location area in the original image. Elsevier 2020-07-03 /pmc/articles/PMC7341347/ /pubmed/32671161 http://dx.doi.org/10.1016/j.dib.2020.105964 Text en © 2020 Published by Elsevier Inc. http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Computer Science
Savardi, Mattia
Daniels, Gabriela
Tamburic, Slobodanka
Muhammad, Umar Riaz
Benini, Sergio
Figaro-tresses: A dataset for evaluating hair assembly features before and after cosmetic treatment
title Figaro-tresses: A dataset for evaluating hair assembly features before and after cosmetic treatment
title_full Figaro-tresses: A dataset for evaluating hair assembly features before and after cosmetic treatment
title_fullStr Figaro-tresses: A dataset for evaluating hair assembly features before and after cosmetic treatment
title_full_unstemmed Figaro-tresses: A dataset for evaluating hair assembly features before and after cosmetic treatment
title_short Figaro-tresses: A dataset for evaluating hair assembly features before and after cosmetic treatment
title_sort figaro-tresses: a dataset for evaluating hair assembly features before and after cosmetic treatment
topic Computer Science
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7341347/
https://www.ncbi.nlm.nih.gov/pubmed/32671161
http://dx.doi.org/10.1016/j.dib.2020.105964
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