PiktID's answer
EraseID by PiktID outshines its competitors by providing a unique advantage – the ability to generate diverse facial expressions, nationalities, and hairstyles.
PiktID's answer
The primary audience consists of advertisers employing authentic model photos. In cases of unsigned model releases, anonymization is an option. Additionally, they can develop region-specific models for diverse markets and adapt faces in images generated by text-to-image models.
PiktID's answer
EraseID by PiktID stands out due to its distinctive feature of high-definition face generation within pre-existing images. This software introduces a fully automated procedure for seamlessly creating new and realistic faces within your pictures.
PiktID's answer
The story of EraseID by PiktID begins with the aim to empower users to anonymize individuals in photos through face generation, preserving the photo's narrative and aesthetics. Evolving from this, the software was enhanced to encompass editing capabilities and the creation of personalized models.
PiktID's answer
PiktID's answer
Based on our record, ML5.js seems to be more popular. It has been mentiond 9 times since March 2021. 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.
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: over 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
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