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Hasty’s end-to-end AI platform helps automate and accelerate the whole life-cycle of implementing vision AI in real life for agricultural, manufacturing, logistic, mining, and other industrial companies. Our data-centric platform allows companies with unique data to build and deploy vision AI applications faster and more reliably across any infrastructure – helping you bring value-added services to your product.
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Based on our record, Apple Machine Learning Journal should be more popular than Hasty.ai. It has been mentiond 6 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.
Try https://hasty.ai, seems to be pretty much exactly what you're looking for. Source: over 2 years ago
At hasty.ai, we're working on agile ML tooling for vision AI to help our users get to production more reliably. A huge part of this is to automate and speed the data preparation process. Source: almost 3 years 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: 12 months 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
Labelbox - Build computer vision products for the real world
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Supervisely - Supervisely helps people with and without machine learning expertise to create state-of-the-art...
Machine Learning Playground - Breathtaking visuals for learning ML techniques.
CrowdFlower - Enterprise crowdsourcing for micro-tasks
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