Name: Building Training Pipelines for Computer Vision Models
Start: 2025-06-25T22:30:00.000Z
Location: Tech Hill Commons

This presentation will explore how state-of-the-art computer vision drives the use of autonomous systems of the future whether that’s navigating a warehouse, steering an AGV, or driving a tractor through the fields.
What You’ll learn:
\* Why vision is important for all autonomous platforms, as well as the different challenges every environment creates.
\* Advanced annotation & auto-labeling pipelines that dramatically speed up training-data preparation while maintaining quality.
\* How to build preprocessing, augmentation, model training pipelines and deploy optimized edge models.
\* Approaches related to active learning and human-in-the-loop feedback loops that allow your fleet to be continually learning and evolving.
\* Best practices related to training-to-deployment orchestration using SageMaker, performance health monitoring in real time.
Whether you are designing vision systems for drones, robots or autonomous tractors, you will gain practical insights related to building data-first methodologies to accelerate your design, increase availability in various conditions, and go from prototype to your deployment fleet at scale.

Nashville Data Engineering Group

Brad O'Neal

Ed Pearson

Kevin Postlewaite

Sarika Agarwal

frank campos

Roger Fried

Gabriel 

Matthew Skinner

Chris Gibson

Tyler Lewis

Matthew Hall

Mahesh Hanumanula

Benjamin Antwi

Karthik Garimella

Bryce

Rex Baldazo

Anne Jones

Michael Pedersen

Xiaole Xie

Building Training Pipelines for Computer Vision Models

Tech Hill Commons

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Brad O'Neal

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