{"id":29087,"date":"2022-04-18T13:29:35","date_gmt":"2022-04-18T20:29:35","guid":{"rendered":"https:\/\/insidebigdata.com\/?p=29087"},"modified":"2022-04-18T13:29:37","modified_gmt":"2022-04-18T20:29:37","slug":"introducing-opensynthetics-the-community-hub-focused-on-synthetic-data-for-ai-development","status":"publish","type":"post","link":"https:\/\/insidebigdata.com\/2022\/04\/18\/introducing-opensynthetics-the-community-hub-focused-on-synthetic-data-for-ai-development\/","title":{"rendered":"Introducing OpenSynthetics: The Community Hub Focused on Synthetic Data for AI Development"},"content":{"rendered":"\n
\"\"<\/figure><\/div>\n\n\n\n

OpenSynthetics<\/a>, an open community for creating and using synthetic data in AI\/ML and computer vision, was launched to practitioners, researchers, academics, and the wider industry.<\/p>\n\n\n\n

OpenSynthetics is a dedicated community focused on advancing synthetic data technology with centralized access to synthetic datasets, research, papers, and code. Synthetic data, or the use of computer-generated images and simulations used to train computer vision models, is an emerging technology that was recently noted as one of the top 10 breakthrough technologies of 2022<\/a> by MIT Technology Review.<\/em> The first book on Synthetic Data for Deep Learning<\/a> was also published last year and has seen widespread adoption.\u00a0<\/p>\n\n\n\n

Through OpenSynthetics, AI\/ML practitioners, regardless of experience, can share tools and techniques for creating and using synthetic data to build more capable AI models. Whether an individual or organization is beginning their synthetic data journey or fully utilizing it in production systems, they will have access to content relevant to their needs and experience. Additionally, OpenSynthetics will serve as a community hub, bringing together academics, practitioners, and researchers to collectively advance the use of synthetic data.<\/p>\n\n\n\n

“Bringing together new and experienced researchers to contribute and share knowledge is an important step and an incredible milestone for the synthetic data industry,” said Yashar Behzadi, CEO of Synthesis AI. “The launch of OpenSynthetics comes when synthetic data is at an inflection point and is being leveraged to build more capable and ethical AI models for autonomous vehicles, robotics, drones, the metaverse, and more. By creating a centralized hub of synthetic data resources, we hope to advance synthetic data’s role in powering the next generation of computer vision.”<\/p><\/blockquote>\n\n\n\n

Current computer vision models are powered by hand-labeled data, which is labor-intensive, costly, time-consuming, and prone to human error and bias. Additionally, the collection of images of people presents privacy concerns. Using synthetic data approaches, labels and data are available on-demand, allowing practitioners to experiment and reducing time spent collecting and annotating data. However, the democratization of synthetic datasets, papers, and resources is needed to educate the industry on this technology and power further use cases.<\/p>\n\n\n\n

OpenSynthetics welcomes researchers and practitioners across academia and industry to contribute to the site. By contributing and participating, the community will build a knowledge base to help grow the understanding and adoption of this emerging technology.<\/p>\n\n\n\n

Sign up for the free insideBIGDATA newsletter<\/a>.<\/em><\/p>\n\n\n\n

Join us on Twitter: @InsideBigData1 \u2013 https:\/\/twitter.com\/InsideBigData1<\/a><\/em><\/p>\n","protected":false},"excerpt":{"rendered":"

OpenSynthetics, an open community for creating and using synthetic data in AI\/ML and computer vision, was launched to practitioners, researchers, academics, and the wider industry. OpenSynthetics is a dedicated community focused on advancing synthetic data technology with centralized access to synthetic datasets, research, papers, and code.<\/p>\n","protected":false},"author":10513,"featured_media":29088,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"jetpack_post_was_ever_published":false,"footnotes":""},"categories":[526,115,182,180,67,56,1],"tags":[437,324,264,277,1069,96],"acf":[],"yoast_head":"\nIntroducing OpenSynthetics: The Community Hub Focused on Synthetic Data for AI Development - insideBIGDATA<\/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:\/\/insidebigdata.com\/2022\/04\/18\/introducing-opensynthetics-the-community-hub-focused-on-synthetic-data-for-ai-development\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Introducing OpenSynthetics: The Community Hub Focused on Synthetic Data for AI Development - insideBIGDATA\" \/>\n<meta property=\"og:description\" content=\"OpenSynthetics, an open community for creating and using synthetic data in AI\/ML and computer vision, was launched to practitioners, researchers, academics, and the wider industry. 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OpenSynthetics, an open community for creating and using synthetic data in AI\/ML and computer vision, is open to practitioners, researchers, academics,\u2026","rel":"","context":"In "AI Deep Learning"","img":{"alt_text":"","src":"","width":0,"height":0},"classes":[]},{"id":32141,"url":"https:\/\/insidebigdata.com\/2023\/04\/18\/synthesis-ai-unveils-synthesis-labs-showcasing-generative-ai-high-res-text-to-3d-capabilities\/","url_meta":{"origin":29087,"position":1},"title":"Synthesis AI Unveils Synthesis Labs, Showcasing Generative AI High-Res Text-to-3D Capabilities","date":"April 18, 2023","format":false,"excerpt":"Synthesis AI, a pioneer in synthetic data technologies, introduced Synthesis Labs, which showcases new generative AI capabilities that enable the development of text-to-3D technologies, with an initial focus on digital humans.","rel":"","context":"In "AI Deep Learning"","img":{"alt_text":"","src":"","width":0,"height":0},"classes":[]},{"id":27623,"url":"https:\/\/insidebigdata.com\/2021\/11\/17\/book-review-synthetic-data-for-deep-learning\/","url_meta":{"origin":29087,"position":2},"title":"Book Review: Synthetic Data for Deep Learning","date":"November 17, 2021","format":false,"excerpt":"\"Synthetic Data for Deep Learning,\" by Sergey I. Nikolenko (published by Springer), represents a very good academic treatment of the subject. But what gives the book more street cred is the fact that the author is also Chief Research Officer for Synthesis AI, a start-up company pioneering this accelerating field.\u2026","rel":"","context":"In "AI Deep Learning"","img":{"alt_text":"","src":"https:\/\/i0.wp.com\/insidebigdata.com\/wp-content\/uploads\/2021\/11\/SyntheticData_book_fig1.png?resize=350%2C200&ssl=1","width":350,"height":200},"classes":[]},{"id":28647,"url":"https:\/\/insidebigdata.com\/2022\/03\/07\/the-decade-of-synthetic-data-is-underway\/","url_meta":{"origin":29087,"position":3},"title":"The Decade of Synthetic Data is Underway","date":"March 7, 2022","format":false,"excerpt":"In this contributed article, Gil Elbaz, CTO and Co-founder of Datagen, sheds light on new developments that will make the \u201820s the decade when synthetic data finally breaks through to become a mainstream part of practical AI applications. 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