Image Classification Using ML5.js with p5.js and MobileNet

We’re just going to use a pre-trained model. Machine learning model that knows how to recognize the contents of images and ML5 is providing us access to it within JavaScript to use with the p5 library. We can know the confidence of the image with the use of MobileNet.

For more details and information, please refer the blog url:

[MiguelRodriguez-wnmc]

Good explanation. One question. If there were, let's say, 4 dogs in the image, I would recognize the image of each dog. I would box each dog identified, and if I wanted to know the amount of error there is, how could I do a counter or in which variable ml5 saves that value

[petaca]

hello good explanation a query can generate a PWA (progressive web application), using ml5 and p5.js. If it is possible to do it, you would have a link with information on how to achieve it, it would be enough with this same example of the video but in PWA format.