首页|Researcher from University of Leuven (KU Leuven) Reports RecentFindings in Machine Learning (Preparing multi-layered visualisations of Old Babylonian cuneiform tablets for a machine learning OCR training model towards automated sign recognition)
Researcher from University of Leuven (KU Leuven) Reports RecentFindings in Machine Learning (Preparing multi-layered visualisations of Old Babylonian cuneiform tablets for a machine learning OCR training model towards automated sign recognition)
扫码查看
点击上方二维码区域，可以放大扫码查看
原文链接
NETL
NSTL
By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Investigators publish new report on artificial intelligence. According to news reportingoriginating from Leuven, Belgium, by NewsRx correspondents, research stated, “In the framework of theCUNE-IIIF-ORM project the aim is to train an Artificial Intelligence Optical Character Recognition (AIOCR)model that can automatically locate and identify cuneiform signs on photorealistic representationsof Old Babylonian texts (c. 2000-1600 B.C.E.).”
University of Leuven (KU Leuven)LeuvenBelgiumEuropeCyborgsEmerging TechnologiesMachine LearningOptical Character Recognition
NETL
NSTL
