In-person

Americas

Webinars & Workshops

Workshop: Train a Medical AI Model in One Day - July 25, 2025

Jul 25, 2025

9:00 AM – 1:00 PM (followed by light lunch and networking)

Qualcomm Building 9940 Barnes Canyon Rd San Diego, CA

About this event

Presented by EyePop.ai and Voxel51, hosted at Qualcomm.

Join us for a hands-on workshop designed to showcase how engineers can build, train, and deploy a computer vision model—fast. Whether you’re a machine learning novice or computer vision veteran, this event is your backstage pass into real-world AI development for medical applications.

Host

What to Expect

This session brings together two powerful platforms — EyePop.ai and FiftyOne - for a one-of-a-kind workflow demo. You’ll leave with a trained model in your account, new tools under your belt, and a clear understanding of how vision AI can be applied to real medical datasets like such as ARCADE, for Stenosis detection

You’ll Learn How To

Inspect and explore a real-world medical dataset with FiftyOne
Push data to EyePop.ai’s Self-Service Training system.
Label, train, and evaluate your own AI model—on the spot
Auto-label new data using your model
Deploy to the cloud or edge (Snapdragon-compatible!)
Compare quantized vs. original models with FiftyOne

What’s Provided

A pre-curated medical dataset (limited to 5,000 images per user)
Notebooks and starter scripts (via USB or cloud download)
Pre-provisioned EyePop.ai accounts with API keys
Live support from EyePop.ai and Voxel51 engineers
Optional Qualcomm devices for edge deployment testing

Workshop Highlights

This is a real-time AI training lab with hands-on support. You’ll walk out with your own model, fully trained and ready to deploy.

Reserve your spot now and get your API key ahead of time.

Dataset visualization using FiftyOne
Step-by-step model training walkthrough on EyePop.ai
Augmentation quiz and final label review
Real-time model performance evaluation
Deployment and inference testing
Social time, networking, and bonus product demos

Who Should Attend

Engineers, developers, data scientists, product managers, and AI-curious builders—especially those working in or exploring the medical, life sciences, or healthcare space.