An unique dataset for Christian sacral objects identification

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60076658%3A12210%2F23%3A43906426" target="_blank" >RIV/60076658:12210/23:43906426 - isvavai.cz</a>

Nalezeny alternativní kódy

RIV/60076658:12310/23:43906426

Výsledek na webu

<a href="https://www.sciencedirect.com/science/article/pii/S2352340923002561?via%3Dihub" target="_blank" >https://www.sciencedirect.com/science/article/pii/S2352340923002561?via%3Dihub</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1016/j.dib.2023.109137" target="_blank" >10.1016/j.dib.2023.109137</a>

Jazyk výsledku

angličtina

Název v původním jazyce

An unique dataset for Christian sacral objects identification

Popis výsledku v původním jazyce

Christian religious monuments as cathedrals, chapels, and temples, are found in many places on our planet. Worldfamous buildings such as the Notre Dame Cathedral in Paris, Gaudi&apos;s Cathedral in Barcelona, and St. Vitus Cathedral in Prague are commonly known. Many online photographs can be used to build machine-learning models to identify them. The number of photographs is already significantly lower for little-known buildings, such as small churches in the Czech-German border region, and similar approaches cannot be used for identification. Based on these facts, our team has compiled a unique dataset for identifying the most important elements of Christian sacral buildings as altars, frescoes, pulpits, etc., which are almost always found in them. Our data set was manually created from several thousand real photographs. This dataset seems to be very usable, e.g., for creating new machine learning models and identifying objects in sacred objects or the objects themselves. (c) 2023 The Authors. Published by Elsevier Inc. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/)

Název v anglickém jazyce

An unique dataset for Christian sacral objects identification

Popis výsledku anglicky

Christian religious monuments as cathedrals, chapels, and temples, are found in many places on our planet. Worldfamous buildings such as the Notre Dame Cathedral in Paris, Gaudi&apos;s Cathedral in Barcelona, and St. Vitus Cathedral in Prague are commonly known. Many online photographs can be used to build machine-learning models to identify them. The number of photographs is already significantly lower for little-known buildings, such as small churches in the Czech-German border region, and similar approaches cannot be used for identification. Based on these facts, our team has compiled a unique dataset for identifying the most important elements of Christian sacral buildings as altars, frescoes, pulpits, etc., which are almost always found in them. Our data set was manually created from several thousand real photographs. This dataset seems to be very usable, e.g., for creating new machine learning models and identifying objects in sacred objects or the objects themselves. (c) 2023 The Authors. Published by Elsevier Inc. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/)

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Projekt

—

Návaznosti

R - Projekt Ramcoveho programu EK

Rok uplatnění

2023

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název periodika

Data in Brief

ISSN

2352-3409

e-ISSN

—

Svazek periodika

48

Číslo periodika v rámci svazku

JUN 2023

Stát vydavatele periodika

NL - Nizozemsko

Počet stran výsledku

14

Strana od-do

—

Kód UT WoS článku

000985557500001

EID výsledku v databázi Scopus

2-s2.0-85152916387