Session
Open Source Data Labeling with Label Studio
Are you tired of the tedious and time-consuming process of manually labeling data for your Machine Learning models? The thought of building a custom interface just to load, label, and export your data for training can be overwhelming. But what if I told you, there's a solution that can revolutionize your data labeling journey? Introducing Label Studio, the Open Source Data Labeling Platform! Say goodbye to mundane tasks and hello to effortless labeling for every data type - from Image Classification to Object Detection and Semantic Segmentation. In this talk, I'll show you how to set up Label Studio, configure your interface, effortlessly label your data, and finally train it to be fed into a production ML pipeline. Don't miss out on the opportunity to streamline your data labeling process and improve the accuracy of your models.

Justin Grammens
Founder + CEO, Lab 651
Saint Paul, Minnesota, United States
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