Deep learning software works unsupervised

January 21, 2020 //By Julien Happich
Deep learning
Euresys has launched a new deep learning library, EasySegment, designed to work in unsupervised mode.

After being trained with “good” images only, it can detect and segment anomalies and defects in new images. EasySegment works with any image resolution, supports data augmentation and masks, and is compatible with CPU and GPU processing.

The new EasySegment complements EasyClassify as Open eVision's deep learning libraries. EasyClassify is a classification tool that can detect defective products and sort them into various classes. The two libraries are easy to use and have been tailored, parametrized and optimized for analyzing images, particularly for machine vision applications. They come with the free Deep Learning Studio application, which allows users to evaluate the capabilities of the libraries, create and manage datasets and supervise the training process.

Euresys - www.euresys.com


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