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Pothole image classifier 15x cheaper and as fast as Jev

Gaurav Sen built a pothole image classifier that runs as fast as Jev but costs 15x less, using open-source datasets and a simple harness. Trained in under a day, it improved Gaurav Sen's side project for public utility.

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Jev
Role
CEO of AIEngg
Posted
Gaurav Sen@gkcs_

I built an image classifier that runs as fast as Jev but is 15x cheaper.

It's a simple image classifier that does one thing: detect if an image has a pothole.

Why is this important for me?

The government and the public would never use a closed-source model owned by a foreign entity. I needed to train my own classifier for ensure our data is parsed at home.

So I downloaded open-source pothole datasets and trained my model on it. Added Evals and built a simple harness.

That's it. I didn't have to go through a tutorial hell, no machine learning PhD needed.

In 2020, this would have been a 3-month project for me. Now, it took me less than a day.

Over the past few months, I have met dozens of Government officials, politicians, and news channels.

They notice the improvements in the app, it signals that the founder is serious.

Being a full time entepreneur, AI gives me the ability to focus on AIEngg while building this public utitilty on the side.

If you want to learn AI, start now.
There will never been a better time.

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