SuaKIT 2.1, the latest deep learning software library for machine vision applications from SUALAB, will be on display at the company’s booth at VISION 2018 in Stuttgart, Germany. The software mproves upon the previous SuaKIT 2.0, which introduced image compression, detection model, visual labeler, and visual debugger tools to the deep learning software. The major upgrades in version 2.1 include continual learning (a method of training a deep learning model by utilizing pre-trained models), multi-image analysis (a training method that enables users to train more than three images as a pair), and uncertainty data analysis (a tool that suggests users uncertainty score of data to classify vague data sets.)
VISION 2018 booth number: Hall 1, Booth 1A26
To Learn More:
Headquarters: Seoul, South Korea
Product: SuaKIT 2.1 deep learning-based machine vision inspection software
Key Features: Continual learning, multi-image analysis, uncertainty data analysis.
What SUALAB says:
View more information on the software.