{"id":7763,"date":"2023-11-27T09:04:43","date_gmt":"2023-11-27T09:04:43","guid":{"rendered":"https:\/\/dailyai.com\/?p=7763"},"modified":"2023-11-27T09:04:43","modified_gmt":"2023-11-27T09:04:43","slug":"researchers-use-synthetic-data-to-train-ai-image-classifier","status":"publish","type":"post","link":"https:\/\/dailyai.com\/de\/2023\/11\/researchers-use-synthetic-data-to-train-ai-image-classifier\/","title":{"rendered":"Forscher nutzen synthetische Daten, um KI-Bildklassifikator zu trainieren"},"content":{"rendered":"<p><strong>Das Training eines KI-Bildklassifizierers oder eines Computer-Vision-Systems erfordert den Zugriff auf einen gro\u00dfen Datensatz von Bildern. MIT-Forscher haben einen Weg gefunden, unsere Abh\u00e4ngigkeit von realen Daten f\u00fcr die Bildklassifizierung zu verringern.<\/strong><\/p>\n<p>Wenn Sie ein Bild einer Katze hochladen und ChatGPT bitten, zu erkl\u00e4ren, was das Bild ist, kann es das, weil es auf Tausenden von Katzenbildern trainiert wurde, die mit Textbeschriftungen versehen waren.<\/p>\n<p>Diese Trainingsbilder mussten ja irgendwoher kommen. Einer der f\u00fcr das Training verwendeten Datens\u00e4tze <a href=\"https:\/\/dailyai.com\/de\/2023\/11\/stability-ai-previews-enhanced-generative-image-and-3d-tools\/\">Stabile Diffusion<\/a>LAION-5B ist eine Sammlung von Milliarden von Bildern aus dem Internet, die mit Textbeschreibungen versehen sind.<\/p>\n<p>Aber was tun wir, wenn wir mehr Daten zum Trainieren eines Modells ben\u00f6tigen, aber die Menge der vorhandenen echten Bilder ersch\u00f6pft ist?<\/p>\n<p>Ein Team von MIT-Forschern hat dieses Problem der Datenknappheit durch die Erstellung eines eigenen synthetischen Datensatzes gel\u00f6st.<\/p>\n<p>Ihr Ansatz, <a href=\"https:\/\/arxiv.org\/pdf\/2306.00984.pdf\" target=\"_blank\" rel=\"noopener\">genannt StableRep<\/a>verwendet eine Strategie, die als \"multi-positives kontrastives Lernen\" bezeichnet wird. Das klingt kompliziert, aber das Konzept ist eigentlich ganz einfach.<\/p>\n<p>Sie fordern den Stable Diffusion-Bildgenerator mit einer Textbeschreibung auf und lassen ihn dann mehrere Bilder generieren. Unter der Annahme, dass Stable Diffusion gute Arbeit geleistet hat, verf\u00fcgen sie nun \u00fcber eine Sammlung von Bildern, die der urspr\u00fcnglichen Aufforderung entsprechen.<\/p>\n<p>StableRep behandelt diese Bilder als Positivbeispiele und lernt, warum diese Bilder gute semantische \u00dcbereinstimmungen mit der urspr\u00fcnglichen Aufforderung sind.<\/p>\n<p>Das Team trainierte sein Bildklassifizierungsmodell auf den von der KI generierten Bildern und gab ihm einen kleinen Leistungsschub mit Sprach\u00fcberwachung, um schlie\u00dflich StableRep+ zu entwickeln.<\/p>\n<p>Wie w\u00fcrde StableRep+ bei der Bildklassifizierung abschneiden, wenn es nur KI-generierte Bilder \"sehen\" w\u00fcrde?<\/p>\n<p>Beim Training mit 20 Millionen synthetischen Bildern war StableRep+ genauer und effizienter als CLIP-Modelle, die mit 50 Millionen realen Bildern trainiert wurden. Die Forscher arbeiten noch daran, den Grund f\u00fcr diese \u00fcberragende Leistung zu verstehen.<\/p>\n<p>Es gibt immer noch ein paar Probleme, aber die Verwendung synthetischer Trainingsdaten wie dieser l\u00f6st viele der <a href=\"https:\/\/dailyai.com\/de\/2023\/10\/new-research-into-datasets-reveals-systemic-ethical-and-legal-issues\/\">Fragen der Datenerhebung<\/a> wie z. B. Kosten, Urheberrechte und Datenschutzbedenken im Zusammenhang mit echten Bildern.<\/p>\n<p>Zu den Herausforderungen dieses Ansatzes geh\u00f6ren die Rechenkosten und der Zeitaufwand f\u00fcr die Erzeugung von Millionen von Bildern f\u00fcr den Datensatz. Au\u00dferdem ist StableRep nach wie vor auf die Verwendung eines Bildgenerators angewiesen, der urspr\u00fcnglich auf realen Bildern trainiert wurde, um dann die synthetischen Daten zu erzeugen.<\/p>\n<p>Jede Verzerrung in der Textaufforderung oder der Datenbeschriftung im realen Bilddatensatz \u00fcbertr\u00e4gt sich auch auf das neue Modell, das auf synthetischen Daten trainiert wurde.<\/p>\n<p>Trotz der Herausforderungen sind die Ergebnisse, die StableRep erzielt, vielversprechend. Die gr\u00f6\u00dfere Vielfalt, die synthetische Daten bieten k\u00f6nnen, k\u00f6nnte die Abh\u00e4ngigkeit der Datenwissenschaftler von teuren und begrenzten realen Daten beim Training neuer Modelle verringern.<\/p>","protected":false},"excerpt":{"rendered":"<p>Das Training eines KI-Bildklassifizierers oder eines Computer-Vision-Systems erfordert den Zugriff auf einen gro\u00dfen Datensatz von Bildern. MIT-Forscher haben einen Weg gefunden, unsere Abh\u00e4ngigkeit von realen Daten f\u00fcr die Bildklassifizierung zu verringern. Wenn man ein Bild einer Katze hochl\u00e4dt und ChatGPT bittet, zu erkl\u00e4ren, was das Bild ist, ist es dazu in der Lage, weil es auf Tausenden von Katzenbildern trainiert wurde, die mit Textbeschriftungen versehen waren. Diese Trainingsbilder mussten irgendwoher kommen. Einer der Datens\u00e4tze, die zum Trainieren von Stable Diffusion verwendet wurden, LAION-5B, ist eine Sammlung von Milliarden von Bildern, die von<\/p>","protected":false},"author":6,"featured_media":7765,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[84],"tags":[166,165,117,193],"class_list":["post-7763","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-industry","tag-computer-vision","tag-image-generation","tag-mit","tag-stability-ai"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.4 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Researchers use synthetic data to train AI image classifier | 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\/de\/2023\/11\/researchers-use-synthetic-data-to-train-ai-image-classifier\/\" \/>\n<meta property=\"og:locale\" content=\"de_DE\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Researchers use synthetic data to train AI image classifier | DailyAI\" \/>\n<meta property=\"og:description\" content=\"Training an AI image classifier or computer vision system requires access to a large dataset of images. MIT researchers have found a way to reduce our dependency on real data for image classification. When you upload an image of a cat and ask ChatGPT to explain what the image is, it\u2019s able to do that because it was trained on thousands of images of cats that had text labels associated with them. Those training images had to come from somewhere. One of the datasets used to train Stable Diffusion, called LAION-5B, is a collection of billions of images scraped from\" \/>\n<meta property=\"og:url\" content=\"https:\/\/dailyai.com\/de\/2023\/11\/researchers-use-synthetic-data-to-train-ai-image-classifier\/\" \/>\n<meta property=\"og:site_name\" content=\"DailyAI\" \/>\n<meta property=\"article:published_time\" content=\"2023-11-27T09:04:43+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/dailyai.com\/wp-content\/uploads\/2023\/11\/MIT-College.jpg\" \/>\n\t<meta property=\"og:image:width\" content=\"1000\" \/>\n\t<meta property=\"og:image:height\" content=\"570\" \/>\n\t<meta property=\"og:image:type\" content=\"image\/jpeg\" \/>\n<meta name=\"author\" content=\"Eugene van der Watt\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:creator\" content=\"@DailyAIOfficial\" \/>\n<meta name=\"twitter:site\" content=\"@DailyAIOfficial\" \/>\n<meta name=\"twitter:label1\" 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