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Euresys' Deep Learning Software Libraries

Euresys SARequest Info
 
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Euresys Deep Learning software librariesEuresys is proud to announce the availability of a new Deep Learning library: EasySegment. EasySegment works 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. EasyClassify and EasySegment 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.

EasySegment Deep Learning segmentation library AT A GLANCE
  • Unsupervised mode: train only with “good” images to detect and segment anomalies and defects in new images
  • Works with any image resolution
  • Supports data augmentation and masks
  • Compatible with CPU and GPU processing
  • Includes the free Deep Learning Studio application for dataset creation, training, and evaluation
  • Only available as part of the Deep Learning Bundle
EasyClassify Deep Learning classification library AT A GLANCE
  • Includes functions for classifier training and image classification
  • Able to detect defective products or sort products into various classes
  • Supports data augmentation, works with as few as one hundred training images per class
  • Compatible with CPU and GPU processing
  • Includes the free Deep Learning Studio application for dataset creation, training, and evaluation
  • Only available as part of the Deep Learning Bundle


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Vision SpectraProductsdeep learningmachine visionEasySegmentEasyClassify

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