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Hi there,
Anyone can list features. Here's what people actually built.
Alan Harris used PyImageSearch courses and books to help write the computer vision patent portfolio behind Streamlabs.
Streamlabs was later acquired by Logitech, and that portfolio factored into the deal.
In his words: "I used the knowledge gained from your course and first book to help write Streamlab's patent portfolio."
Yi Shern, a machine learning engineer at 123RF, built and shipped a Visual Search feature that scales to millions of images.
That is production computer vision, running live at scale.
Marquise Cooper built a program that detected cars and fed the results to an Android app.
He presented it, industry people told him to patent it, and because he was the programming lead, he got offered a job at Exxon on the spot.
Individual results vary. These outcomes reflect specific students' experiences and effort, and they are not a promise of what you'll earn or land.
What they do share is the engine underneath: a structured path and working code, instead of another twelve open tabs.
That's what your rate lock buys access to. And somewhere in that library is the version of this story with your name on it: the model you trained on your own data, running in front of the person who needed to see it work.
120+ courses, a new one added every month, and the runnable code behind them.
Your price stays at $345 for every year you remain a member, while the library keeps growing.
After Sunday, July 26, it's $495, and the locked $345 rate goes with it.
First purchase, 30-day money-back guarantee. Run the code first, decide after.
Your PyImageSearch Team
P.S. None of those three set out to learn computer vision in the abstract. Each one set out to build a specific thing. Pick yours, lock the rate, and start.
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