Based on our record, PhotoStructure should be more popular than Apple Machine Learning Journal. It has been mentiond 21 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.
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
We even host annual poster sessions of those PhD intern’s work while at our company, and it’ll give you an idea of the caliber of work. It may not be as great as Nvidia, Stryker, Waymo, or Tesla (which are not part of MAANG but I believe are far more ahead in CV), but it’s worth of considering. Source: about 1 year ago
They have something for ML: https://machinelearning.apple.com. - Source: Hacker News / about 2 years ago
They're more subtle about it, I think. https://machinelearning.apple.com/ Some of the papers are pretty good. I don't disagree with your sentiment in aggregate, though. Source: about 2 years ago
Siri is not where it needs to be because Apple refuses to mine user data to enrich it. They also are very hesitant to allow researchers to publish their breakthroughs which makes recruitment very hard. Although this is changing https://machinelearning.apple.com/. - Source: Hacker News / about 2 years ago
It's also worth mentioning Photostructure: https://photostructure.com/ Which is also doing excellent work in this space. - Source: Hacker News / 7 months ago
I'm not sure it covers all your features listed, but I use PhotoStructure [1] for the 'album' side of things. It's been mentioned a bit on HN, which is where I found it. Sharing is very open for me since I'm just sharing wholesale with family, but when I need to share specific images or albums to people, I usually do it via some other way that suits them -- so if they use messages, email, google drive, dropbox, or... - Source: Hacker News / 12 months ago
Try this one out, I used it a few year ago and it was the best option for a low footprint docker app. https://photostructure.com. Source: about 1 year ago
Check out Photostructure... Great way to view photos! Source: over 1 year ago
I had a similar issue with photos/videos and ended up building a cli app to organize everything, it has worked for my use case relatively well, still, there are uncovered corner cases. For example, this compares hashes only instead of the same photo in a different dimension: https://github.com/wiringbits/my-photo-timeline I understand that https://photostructure.com/ has a far more sophisticated dedup algorithm,... - Source: Hacker News / over 1 year ago
Amazon Machine Learning - Machine learning made easy for developers of any skill level
PhotoPrism.app - PhotoPrism® is an AI-Powered Photos App for the Decentralized Web. It makes use of the latest technologies to tag and find pictures automatically without getting in your way. You can run it at home, on a private server, or in the cloud.
Machine Learning Playground - Breathtaking visuals for learning ML techniques.
Piwigo.org - Manage your photo collection with Piwigo. Piwigo is open source photo gallery software for the web. Designed for organisations, teams and individuals.
Lobe - Visual tool for building custom deep learning models
Google Photos - All your photos are backed up safely, organized and labeled automatically, so you can find them fast, and share them how you like.