SuaKIT version 2.0 introduced image compression, detection model, visual labeler, and visual debugger tools to the deep learning software. Version 2.1 updates the software to 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.)
SUALAB will show at Automate 2019 in Booth #9037.
To Learn More:
Headquarters: Seoul, Korea
Key Features: Updates include continual learning, multi-image analysis, and uncertainty data analysis.
What SUALAB says:
View more information on SuaKIT.
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