Apple Core ML
Amazon Machine Learning
TensorFlow Lite
Roboflow Universe
ML5.js
Monitor ML
Alchemy by Fritz
3D semantic segmentation by Playment
Segments.ai
Labelbox
Supervisely
Universal Data Tool
CrowdFlower
Amazon Mechanical Turk
Dataloop AI
Labeling AI
Segments.ai is a fast and accurate data labeling platform for multi-sensor data annotation. You can obtain segmentation labels, vector labels, and more via the intuitive labeling interfaces for images, videos, and 3D point clouds.
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Apple Core ML Segments.aiBased 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 / about 1 year ago
Apple has actually created ML chipsets, so AI can be executed natively, on-device. https://developer.apple.com/machine-learning/. - Source: Hacker News / over 1 year 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 2 years 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 2 years ago
This is the developer documentation where they advertise the APIs - https://developer.apple.com/machine-learning/. Source: over 3 years ago
Amazon Machine Learning - Machine learning made easy for developers of any skill level
Labelbox - Build computer vision products for the real world
TensorFlow Lite - Low-latency inference of on-device ML models
Supervisely - Supervisely helps people with and without machine learning expertise to create state-of-the-art...
Roboflow Universe - You no longer need to collect and label images or train a ML model to add computer vision to your project.
Universal Data Tool - Machine learning, data labeling tool, computer vision, annotate-images, classification, dataset
