From the course: No-Code AI: Harness the Power of AI without Programming

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Solution: Build a vision model for tire defects

Solution: Build a vision model for tire defects

From the course: No-Code AI: Harness the Power of AI without Programming

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Solution: Build a vision model for tire defects

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(upbeat music) - You have now successfully built your first No-Code AI model. How does it feel? And you did that with zero coding. Recall the problem? We were going to look for defects in tires. Let me show you how I did that. Here is the solution to the exercise. To build the No-Code AI to detect defects in tires. I used the No-Code AI platform, teachablemachine.withgoogle.com to build a computer vision AI model because this model is trained using pictures. There are public data sets of images and I went to Kaggle and found a tire data set. It has thousands of images of good tires and bad tires or oxidized or cracked tires. So I just took a sample out of that. I've added that sample in the GitHub repo. Next, I organize the data into two groups. Here, the good tires I call them good_tires and the cracked tires, I call them as bad_tires. It is just a name for each class. You can name them anything you want. I…

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