Object Detection Fundamentals
Spend a Saturday afternoon building your first detection model. We'll work with YOLO and actually train something that works by the end of the day.
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Events That Build Vision Skills
Join our hands-on workshops and collaborative sessions where you'll work with real computer vision challenges. We keep groups small—usually around 12 people—so everyone gets actual practice time.
Reserve Your SpotUpcoming Sessions
Most of our events happen on weekends. And yes, we provide coffee and proper workspace setup.
Image Segmentation Workshop
This one's pretty hands-on. Bring a laptop with at least 8GB RAM and we'll walk through semantic segmentation from data prep to deployment.
Join this session →Edge Deployment for CV Models
Getting models to run on actual hardware is different from training them. We'll cover optimization, quantization, and realistic performance expectations.
Reserve your place →Vision Transformers Deep Dive
ViT models are changing how we approach image tasks. Come ready to code—this isn't a lecture, it's a build-along session.
Get your ticket →What Makes Our Workshops Different
Look, there are plenty of online courses. What we do differently is focus on the stuff that usually gets glossed over—the debugging, the hyperparameter tuning that actually matters, the deployment headaches.
Each session starts with a problem statement. Something real, like "detect defects in manufacturing images" or "track movement in security footage." Then we build toward a solution together.
- Work with datasets that have real-world messiness
- Debug models together when things don't work the first time
- Leave with working code you understand
- Small groups where you can actually ask questions
- Follow-up support after the session ends
We cap attendance intentionally. A workshop with 40 people isn't a workshop—it's a webinar with expensive seating.
What People Actually Say
Dane Kristoffersen
Embedded Systems Developer
"The edge deployment workshop saved me weeks of trial-and-error. They covered the practical stuff—model size reduction, inference speed optimization—that you won't find in most documentation."
Siiri Järvinen
Computer Vision Engineer
"I appreciated the honest approach. When a model didn't perform well, we discussed why instead of just moving on. That kind of troubleshooting practice is hard to get elsewhere."
Join the Vision Community
Between events, we run a small online space where participants share project updates, ask technical questions, and occasionally debate the merits of different annotation tools.
It's not particularly fancy—just a Discord server with focused channels. But it's proven useful for getting unstuck on specific problems or finding collaborators for projects.
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Active Members
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Events in 2024
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