PiktID
D-ID
Breshna
Generated.photos
FilmForge AI
Humai.in
Rephrase.ai
RAVATAR
Apple Core ML
Amazon Machine Learning
TensorFlow Lite
Roboflow Universe
ML5.js
Alchemy by Fritz
QuickAI
3D semantic segmentation by Playment
PiktID Apple Core MLPiktID'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, Apple Core ML seems to be more popular. It has been mentiond 7 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.
On the machine learning side of AI, they have CoreML. You can drag-and-drop images into Xcode to train an image classifier. And run the models on device, so if solar flares destroy the cell phone network and terrorists bomb all the data centers, your phone could still tell you if it's a hot dog or not. https://developer.apple.com/machine-learning/ https://developer.apple.com/machine-learning/core-ml/... - Source: Hacker News / 3 months ago
Apple has actually created ML chipsets, so AI can be executed natively, on-device. https://developer.apple.com/machine-learning/. - Source: Hacker News / 5 months ago
For your reference, Apple's pages for Machine Learning for Developers and for their research. The Apple Neural Engine was custom designed to work better with their proprietary machine learning programs -- and they've been opening up access to developers by extending support / compatibility for TensorFlow and PyTorch. They've also got CoreML, CreateML, and various APIs they are making to allow more use of their... Source: about 1 year ago
> It’d be one thing if Apple actually worked on AI softwares a bit and made it readily available to developers. * Apple Silicon CPUs have a Neural Engine specifically made for fast ML-inference * Apple supports PyTorch (https://developer.apple.com/metal/pytorch/) * Apple has its own easily accessible machine-learning framework called Core-ML (https://developer.apple.com/machine-learning/) So it would be inaccurate... - Source: Hacker News / about 1 year ago
This is the developer documentation where they advertise the APIs - https://developer.apple.com/machine-learning/. Source: almost 3 years ago
D-ID - The next gen digital human creation platform
Amazon Machine Learning - Machine learning made easy for developers of any skill level
Breshna - Breshna empowers users to create their own educational, marketing and training video games with no-code & at lightning speed.
TensorFlow Lite - Low-latency inference of on-device ML models
Generated.photos - Explore our free resource of 100k high-quality faces, each entirely generated by AI. Use them in your projects, mockups, or wherever — all for just a link back to us!
Roboflow Universe - You no longer need to collect and label images or train a ML model to add computer vision to your project.
