The Kickstarter campaign is live. But before I send you the link, I want to earn it.

You have probably already seen the job listings.

"Senior Computer Vision Engineer. $145,000-$175,000. YOLO expertise required. Production deployment experience required."

And you probably closed the tab.

Not because you do not know YOLO.
You do.
You have run the model, tuned the hyperparameters, watched the bounding boxes appear.

But production deployment is a different thing entirely.

It means your model holds precision when the lighting shifts, when the camera angle changes, and when the dataset in the field looks nothing like the dataset you trained on.

Most YOLO tutorials stop long before that point.
They stop when the training loss drops.
They hand you a model and call it done.

The result: a large population of engineers who know how to run YOLO, and a much smaller population who know how to ship it.

That smaller population earns an average of $30,000 to $50,000 more per year.

Tomorrow I'll name the single training gap that's keeping 90% of CV engineers stuck on the wrong side of this wall.

Get YOLO Kickstarter Early Bird Deals

Talk soon,
The PyImageSearch Team

P.S. The campaign is live now.