Customized Layout Detection for Scientific PDFs with LayoutParser and Label Studio
End users commonly encounter unique layouts that require data annotation and fine-tuning a customized model in order to achieve an ideal accuracy. In this webinar, we will show how to build a model for scientific PDF extraction using Label Studio to create the training dataset and LayoutParser to detect the layout and extract structured information..
Related Content
-
Integrating with Machine Learning Frameworks with Label Studio
This webinar tutorial, led by Heartex's co-Founder and Chief Technology Officer Nikolai Luibimov, will tackle the much-requested topic of Machine Learning (ML) integrations with Label Studio.
-
Label Studio 1.1: Overview of Features, Fixes & Updates
Join Senior Frontend Engineer Nick Skriabin for an overview of whats new, fixed and great about Label Studio Open Source version 1.1
-
Webhooks: Overview & Demo Integration with Amazon SageMaker
A tutorial showing a demo integration with Amazon SageMaker hosted by Sarah Moir, head of Content & Education at Heartex.