Do you want to use models like YOLO to speed up your labeling process? Maybe you’re trying to evaluate how well these models work in your own environment? The Machine Learning (ML) Backend in Label Studio allows you to connect any model you want, including YOLO, to Label Studio to quickly prelabel your data, making labeling and evaluation a snap! This dramatically speeds up time to insight on both your models and your annotation tasks.
Join ML Evangelist Micaela Kaplan as she walks you through what the Label Studio ML Backend is and how it works. She’ll also teach you how to use it with some popular already-integrated models including YOLO and show you how to build your own ML Backend integration to speed up your labeling and improve time-to-insight for models that don’t already have an integration (such as custom models).
You’ll learn:
- How the ML Backend allows you to connect YOLO to Label Studio for prelabeling and evaluation
- How to use our existing examples to speed up your labeling process
- How to create your own ML Backend for any model you might be using
Speakers
Machine Learning Evangelist, [object Object]
Micaela Kaplan is the Machine Learning Evangelist at HumanSignal. With her background in applied Data Science and a masters in Computational Linguistics, she loves helping other understand AI tools and practices.