INDUSTRIES SERVICES SOLUTIONS Deep Learning (DL) Automation Tool for Vision Applications Home Solutions AI & Analytics Deep Learning (DL) Automation Tool for Vision Applications A QuEST Tool for Development and Deployment of DL Models A solution accelerator that helps to design, train, deploy and manage Deep Learning (DL) models for the development of computer vision applications. It enables data scientists, data analysts and data engineers to develop DL based machine vision applications quickly and efficiently. The solution provides a simplified model creation process through a visual, menu driven interface. Designed to automate key operations of model development workflow like data labeling, data augmentation and cross validation, it has intuitive dashboards, performance metrics and custom model creation capabilities. Discover how QuEST’s solution accelerator can help your data scientists, data engineers and data analysts to improve accuracy, productivity and return on investment. Contact Us INDUSTRIES Aerospace and Defense Automotive Energy Healthcare and Medical Devices Hi-Tech Rail Semiconductors SERVICES Embedded Product Engineering Software Product Engineering Supply Chain Digital Technology Silicon Engineering Mechanical Product Engineering After Market Services Engineering Analysis Manufacturing Engineering Engineering Process Services Enterprise Application Services Product Lifecycle Management Manufacturing Execution Systems Testing and Automation SOLUTIONS IoT and Applications AI and Analytics Testing and Automation CORPORATE Overview Create the Frontier Leadership & Governance Code of Conduct Diversity and Inclusion Born To Engineer Social Stewardship CAREERS Opportunities QuEST in Campus QuEST Ingenium QuEST Alumni Job Applicant Privacy Notice LCA Postings © 2021 QuEST Global Services Pte. Ltd. Privacy Policy Terms and Conditions Sitemap We make use of cookies. If you continue browsing our website, we assume that you consent to our use of cookies. Learn how we use cookies and how you can control them here.I accept