ML.NET is a cross-platform open-source machine learning (ML) framework for .NET. ML.NET allows developers to easily build, train, deploy, and consume custom models in their .NET applications without ...

Apps that record visits are becoming popular, but they come with privacy and accuracy concerns. By Simar Bajaj At your next appointment, your doctor may have a new kind of assistant listening in: ...

Abstract: Defect detection in transparent components is important for improving their quality. However, such defects are typically tiny and diverse, occurring at different scales, which makes manual ...

Effectively detecting subtle surface defects in strip steel is vital for industrial quality assurance; however, most existing approaches fail to strike an optimal balance between accuracy and ...

Abstract: In order to address the complex problems of aluminum surface defect detection and its low detection accuracy, this paper proposes an aluminum surface defect detection method based on ...

EMBED (for Archive.org item Description fields) [archiveorg github.com-dotnet-machinelearning_-_2025-09-15_05-04-59 width=560 height=384 frameborder=0 ...

Official implementation of the paper in CVPR 2026. The current release is a refined version of the dataset reported in the paper. We have performed a second round of re-annotation and removed ...