I trained a machine learning model to differentiate between buttons and links on web pages. Using a dataset of ~3000 button images and ~4000 link images, I trained a convolutional neural network (CNN) with added noise for better generalization. Preprocessing included grayscale conversion, dataset diversification with multilingual sites, and image compression. The model performed well in initial tests, correctly classifying button-like and link-like elements. Next, I'll build a web app for easier testing and a Lighthouse audit for website analysis.
Hello.
I am Paul Kinlan.
A Developer Advocate for Chrome and the Open Web at Google.
I love the web. The web should allow anyone to access any experience that they need without the need for native install or content walled garden.