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Submitted URL: http://www.superannotate.com/webinar
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Effective URL: https://www.superannotate.com/webinar
Submission: On October 31 via api from IE — Scanned from DE
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Text Content
This website uses cookies to offer you the most relevant information. Please accept cookies for optimal performance. Accept Decline Product Image AnnotationVideo AnnotationText AnnotationProject Management AutomationData CurationQuality ManagementSDK Integration Services Industries AgricultureAutonomous DrivingRoboticsAerial ImageryNLP industryHealthcareSportsInsuranceSecurity Pricing Resources DocumentationProduct UpdatesBlogWebinarPodcast Company About UsSecurityCareersPress Sign inRequest demo Product Image AnnotationVideo AnnotationText AnnotationProject Management AutomationData CurationQuality ManagementSDK Integration Services Industries AgricultureAutonomous DrivingRoboticsAerial ImageryNLP industryHealthcareSportsInsuranceSecurity Pricing Resources DocumentationProduct UpdatesBlogWebinarPodcast Company About UsSecurityCareersPress Sign inRequest demo November 1, 9am PST / 5pm CET DATA-CENTRIC APPROACH TO CV DATASETS Register now to save your spot in our upcoming webinar Register WEBINAR HOSTS OSCAR ÖRNBERG Solutions Engineering Team Lead at SuperAnnotate DAVID ARAKELYAN ML Project Coordinator VAHAN PETROSYAN Co-founder & CTO at SuperAnnotate WEBINAR SPEAKER SALLY-ANN DELUCIA AI Solutions Engineer at SuperAnnotate Training dataset health and overall conditions often are not the focal points for many computer vision teams. In our experience, when exploring ways of improving model performance CV teams will most likely opt for solutions like tuning hyperparameters than exploring datasets for flows. At SuperAnnotate we tried taking a data-centric view and see what impact that will have on our computer vision model’s performance. During this webinar, we’ll be looking at the state-of-art methods for getting the most out of training data and observing the impact that will have on the model’s performance. * Named Entity Recognition/NLP (bounding box annotation of named entities) * Optical Character Recognition/OCR (character annotation of the words from the annotated bounding box) REGISTER FOR THE WEBINAR Work email* First name* Last name* Job title* AI topics of interest BUILD SUPERDATA FOR YOUR AI WITH OUR END-TO-END PLATFORM. Request demo PRODUCT * Image Annotation * Video Annotation * Text Annotation * Project Management * Data Curation * Quality Management * SDK Integration * Annotation Services Marketplace COMPANY * Pricing * About Us * Security * Careers * Press RESOURCES * Documentation * Product Updates * Blog * Webinar * Podcast * Academic * Support * Privacy Policy * Cookie Policy FOLLOW US Copyright © 2022 SuperAnnotate AI, Inc. All rights reserved.