Google Vision AI VS ML5.js

I've been trying out Google's Cloud Vision API (https://cloud.google.com/vision) as a means of detecting NSFW content in user-submitted images but am finding it surprisingly unreliable. A large proportion of requests appear to just randomly hang before timing out with no error. I'm looking for recommendations for an alternative solution which can flag images containing pornography, gore, violence, etc. All the bad... - Source: Hacker News / 8 months ago

I wonder if we could use something like https://cloud.google.com/vision to employ AI image classification on these sat images? Source: 10 months ago

There are many. Google Lens can classify images. It can even identify species of plants and animals. If by "toolset" you mean you want an API to write your own applications, you can use the Google Vision API. Source: 11 months ago

Could you use Vision AI for this maybe? Source: 12 months ago

The violence will get it not recommended, use https://cloud.google.com/vision/ to see what I'm talking about. It comes up as very racy and possibly adult. Source: 12 months ago

Important APIs - ml5 for in-browser detection, face-api that uses tensorflow-node to accelerate on-server detection. VueUse for a bunch of useful component tools like the QR Code generator. Yahoo's Gifshot for creating gif files in-browser etc. - Source: dev.to / over 1 year ago

See also: https://ml5js.org/ "The library provides access to machine learning algorithms and models in the browser, building on top of TensorFlow.js with no other external dependencies.". - Source: Hacker News / almost 2 years ago

I used ml5js.org , p5js.org and https://teachablemachine.withgoogle.com to train the Banana images. When you create a new image project on Teachable Machine, you can output the p5js and basically use it right out of the box - I customized js, css, and html from there. Source: about 2 years ago

Going forward: I'll be 100% into JavaScript. You can use JavaScript in so many fields nowadays. Websites React, Mobile Apps React Native, Machine Learning TensorFlow & ML5, Desktop Applications Electron, and of course the backend Node as well. It's kind of a no-brainer. Of course, they all have specific languages that are better, but for now, JavaScript is a bit of a catch-all. - Source: dev.to / over 2 years ago

From other comments, a lot of JavaScript developers who want to use TensorFlow had never heard of TensorFlow.js or ml5.js! Source: over 2 years ago