{"id":8620,"date":"2023-12-24T11:49:11","date_gmt":"2023-12-24T11:49:11","guid":{"rendered":"https:\/\/dailyai.com\/?p=8620"},"modified":"2023-12-24T11:52:04","modified_gmt":"2023-12-24T11:52:04","slug":"ai-finally-solves-the-mystery-behind-a-renaissance-painting","status":"publish","type":"post","link":"https:\/\/dailyai.com\/da\/2023\/12\/ai-finally-solves-the-mystery-behind-a-renaissance-painting\/","title":{"rendered":"AI l\u00f8ser endelig mysteriet bag et ren\u00e6ssancemaleri"},"content":{"rendered":"

I \u00e5rhundreder har det v\u00e6ret diskuteret, om Raphael virkelig var kunstneren bag ren\u00e6ssancemaleriet Madonna della Rosa. Forskere brugte maskinl\u00e6ring til at l\u00f8se mysteriet.<\/strong><\/p>\n

N\u00e5r kunsthistorikere fors\u00f8ger at tilskrive et maleri til en kunstner, involverer deres beslutning et v\u00e6ld af tests. De tjekker materialernes kemiske sammens\u00e6tning, tager r\u00f8ntgenscanninger, sporer proveniensen og f\u00e5r eksperter til at granske de mindste detaljer i de malede scener.<\/p>\n

Selv efter alt det har nogle malerier som Madonna della Rosa stadig f\u00e5et eksperter til at sk\u00e6ndes om, hvem der har malet det.<\/p>\n

Den st\u00e6rke mistanke var, at maleriet var udf\u00f8rt af ren\u00e6ssancemesteren Rafael, men der var elementer i maleriet, som gav anledning til tvivl.<\/p>\n

Madonna della Rosa er et maleri af Maria, Josef, Jesus og en baby, Johannes D\u00f8beren. De omr\u00e5der, som nogle eksperter mist\u00e6nkte for at v\u00e6re malet af en anden kunstner, var Josefs hoved og rosen i bunden af maleriet.<\/p>\n

Lad AI tage et kig<\/h2>\n

Professor Hassan Ugail fra University of Bradford udviklede en maskinl\u00e6ringsmodel til at analysere maleriet for at bekr\u00e6fte, om Raphael virkelig var kunstneren eller ej.<\/p>\n

Ugails model brugte deep transfer learning anvendt p\u00e5 det dybe neurale netv\u00e6rk ResNet50. ResNet50 bruges i vid udstr\u00e6kning til billedgenkendelsesopgaver, fordi det er rigtig godt til at l\u00e6re komplekse m\u00f8nstre i billeder.<\/p>\n

ResNet50 er allerede pr\u00e6tr\u00e6net p\u00e5 et stort datas\u00e6t med billeder. Transfer learning er en maskinl\u00e6ringsteknik, hvor en model, der er udviklet til \u00e9n opgave, genbruges som udgangspunkt for en model til en anden opgave. Denne teknik er is\u00e6r nyttig, n\u00e5r du har begr\u00e6nsede data til den nye opgave.<\/p>\n

Ugail brugte den pr\u00e6tr\u00e6nede ResNet50 som udgangspunkt og tr\u00e6nede den yderligere p\u00e5 49 malerier, som blev bekr\u00e6ftet at v\u00e6re af Raphael. Som resultat blev modellen ekspert i Rafaels arbejde, fra hans s\u00e6rlige penselstr\u00f8g, valg af farver og kompositioner.<\/p>\n

Ugail siger, at modellen kan genkende autentiske stykker med en n\u00f8jagtighed p\u00e5 98 procent.<\/p>\n

Hvem har malet det?<\/h2>\n

Da forskerne anvendte modellen p\u00e5 Madonna della Rosa, viste det sig, at der kun var en sandsynlighed p\u00e5 60% for, at det var Rafaels v\u00e6rk.<\/p>\n

Det er ikke godt nyt for Madrids Prado-galleri, som insisterer p\u00e5, at deres maleri er et autentisk Raphael-v\u00e6rk.<\/p>\n

Da modellen blev brugt til at analysere specifikke omr\u00e5der af maleriet, kom sandheden bag dets skaber frem.<\/p>\n

\"\"
Dele af Madonna della Rosa-maleriet identificeret til individuel analyse. (Billedet er gengivet under Wikimedia Commons public domain-licens - Raphael artist QS:P170,Q5597 (https:\/\/commons.wikimedia.org\/wiki\/File:Raffaello_Santi_-_Madonna_della_Rosa_(Prado).jpg), \"Raffaello Santi - Madonna della Rosa (Prado)\") Kilde: Tidsskriftet Heritage Science<\/a><\/figcaption><\/figure>\n

Modellen konkluderede, at omr\u00e5derne med Maria, Jesus, Johannes D\u00f8beren og endda den mist\u00e6nkte rose havde en 90% sandsynlighed for at v\u00e6re malet af Raphael.<\/p>\n

Som forventet blev Josefs hoved sandsynligvis malet af en anden kunstner, da modellen gav det en mindre end 40% sandsynlighed for at v\u00e6re Rafaels v\u00e6rk. N\u00e5r en bes\u00f8gende i Prado-galleriet sp\u00f8rger, om det virkelig var Rafael, der malede dette v\u00e6rk, kan kuratoren med sikkerhed svare: \"For det meste.\"<\/p>\n

Medforfatter til papiret<\/a>Professor Edwards, professor emeritus i molekyl\u00e6r spektroskopi ved University of Bradford, sagde: \"AI-programmets analyse af vores arbejde har entydigt vist, at mens de tre figurer af Madonna, Jesusbarnet og Johannes D\u00f8beren utvetydigt er malet af Rafael, er figuren af Sankt Josef det ikke og er malet af en anden - muligvis af Romano, som zur Capellen og andre mente.\"<\/p>\n

Denne forskning kan anvendes p\u00e5 andre omstridte v\u00e6rker, s\u00e5 l\u00e6nge der er tilstr\u00e6kkeligt med eksempler p\u00e5 bekr\u00e6ftede v\u00e6rker, der kan bruges som tr\u00e6ningsdatas\u00e6t. Medforfatteren professor Christopher Brooke fra University of Nottingham sagde, at denne nye tilgang til at tilskrive kunstv\u00e6rker \"kan tilpasses, s\u00e5 v\u00e6rker af andre kunstnere kan unders\u00f8ges ved hj\u00e6lp af samme teknik, og det er m\u00e5let for fremtidig forskning.\"<\/p>\n

Det er usandsynligt, at AI vil overtage kunsthistorikeres job, og man kan ikke udelukkende stole p\u00e5 denne metode til at bestemme den korrekte tilskrivning af kunstv\u00e6rker.<\/p>\n

Adjungeret professor ved Stanford University David G. Stork, som ogs\u00e5 er medforfatter til artiklen, siger: \"Computermetoder viser langsomt, men sikkert, at de kan hj\u00e6lpe traditionelle humanistiske studier af kunst, men de skal altid anvendes med en dyb forst\u00e5else af den kunsthistoriske kontekst, og deres resultater skal forst\u00e5s og fortolkes i en bredere kontekst af kunstviden, som er relevant for det aktuelle problem.\"<\/p>\n

Maskinl\u00e6ring vil ikke erstatte kunsthistorikere, men det vil v\u00e6re en stor hj\u00e6lp til at afg\u00f8re nogle \u00e6ldgamle stridigheder.<\/p>","protected":false},"excerpt":{"rendered":"

I \u00e5rhundreder har det v\u00e6ret diskuteret, om Raphael virkelig var kunstneren bag ren\u00e6ssancemaleriet Madonna della Rosa. Forskere brugte maskinl\u00e6ring til at l\u00f8se mysteriet. N\u00e5r kunsthistorikere fors\u00f8ger at tilskrive et maleri til en kunstner, involverer deres beslutning en lang r\u00e6kke tests. De tjekker materialernes kemiske sammens\u00e6tning, tager r\u00f8ntgenscanninger, opsporer oprindelsen og f\u00e5r eksperter til at granske de mindste detaljer i de malede scener. Selv efter alt dette er der nogle malerier som Madonna della Rosa, hvor eksperterne stadig sk\u00e6ndes om, hvem der har malet det. Den st\u00e6rke<\/p>","protected":false},"author":6,"featured_media":8624,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[84],"tags":[150,105],"class_list":["post-8620","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-industry","tag-ai-benefits","tag-machine-learning"],"yoast_head":"\nAI finally solves the mystery behind a Renaissance painting | DailyAI<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/dailyai.com\/da\/2023\/12\/ai-finally-solves-the-mystery-behind-a-renaissance-painting\/\" \/>\n<meta property=\"og:locale\" content=\"da_DK\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"AI finally solves the mystery behind a Renaissance painting | DailyAI\" \/>\n<meta property=\"og:description\" content=\"For centuries the debate has been ongoing as to whether or not Raphael was indeed the artist behind a Renaissance painting called Madonna della Rosa. Researchers used machine learning to solve the mystery. When art historians endeavor to attribute a painting to an artist their decision involves a host of tests. They check the chemical makeup of the materials, take X-ray scans, track down the provenance, and have experts pore over the minutest details in the painted scenes. Even after all of that, some paintings like the Madonna della Rosa still have experts arguing over who painted it. 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