ML5.js is recommended for educators, beginners, artists, and developers who want to quickly implement machine learning models in web applications. It is also suitable for creative coding projects and interactive applications where simplicity and ease of use are important.
This tool is particularly recommended for casual users, photography enthusiasts, and anyone with a collection of old family photos they wish to breathe new life into. It is also suitable for artists or designers who need a quick solution for adding color to images without extensive manual editing.
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ML5.js might be a bit more popular than Image Colorizer. We know about 10 links to it since March 2021 and only 7 links to Image Colorizer. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Ml5.js: Built on top of TensorFlow.js, it provides a user-friendly interface for implementing machine learning in web applications.. - Source: dev.to / about 2 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 2 years 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 3 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: over 3 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 3 years ago
Https://imagecolorizer.com/ is able to reduce bluriness on old photos, and it has some other features. Source: about 2 years ago
Use photo accurate to year but use https://imagecolorizer.com/ for black and white photos. Source: over 2 years ago
For the photos check out a free service like this https://imagecolorizer.com/. Source: almost 3 years ago
Just look up black and white image colorizer on google and there's multiple free websites you can try. I used https://imagecolorizer.com/. Source: about 3 years ago
I ran these through imagecolorizer.com's free tool, and I gotta say, I'm pretty impressed with the results, considering it's automatic and free:. Source: over 3 years ago
Amazon Machine Learning - Machine learning made easy for developers of any skill level
Colorize It - Use deep learning to colorize black and white photos
Machine Learning Playground - Breathtaking visuals for learning ML techniques.
Playground AI - Stable diffusion level generation with 1000 free pics a day
Apple Machine Learning Journal - A blog written by Apple engineers
Myheritage In Color - Myheritage In Color is a best-in-class technological tool that has been designed for colorizing old photos.