Deep Learning segmentation library

         AT A GLANCE 

• Unsupervised mode: train only with “good” images to detect and segment anomalies and defects in new images
• Supervised mode: learn a model of the defects for better segmentation and detection precision
• 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