Deep Learning Segmentation & Classification Libraries

Optimized for analyzing images in machine vision applications

  • Deep Learning Segmentation & Classification Libraries
    Deep Learning Segmentation & Classification Libraries
  • Deep Learning Segmentation & Classification Libraries
    Deep Learning Segmentation & Classification Libraries
  • Deep Learning Segmentation & Classification Libraries
    Deep Learning Segmentation & Classification Libraries
  • Deep Learning Segmentation & Classification Libraries
    Deep Learning Segmentation & Classification Libraries

Euresys released EasySegment, a new Deep Learning library that works in unsupervised mode. Prior, it is trained with “good” images only, thus, it can detect and segment anomalies and defects in new images. EasySegment operates with any image resolution, supports data augmentation and masks, and is compatible with CPU and GPU processing. EasySegment complements EasyClassify as Open eVision’s Deep Learning libraries. 


The software libraries come with the free Deep Learning Studio application as part of the Deep Learning Bundle


As a classification tool, EasyClassify is able to detect defective products and sort them into various classes. It supports data augmentation and works with only one hundred training images per class. Both software is easy to use and come with the free Deep Learning Studio application, which enables the users to evaluate the capabilities of the libraries, create and manage datasets and supervise the training process.

Graduated in political sciences and international relations in Paris, Anis joined the team in early 2019. Editor for IEN Europe and the new digital magazine AI IEN, he is a new tech enthusiast. Also passionate about sports, music, cultures and languages. 

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