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Apple Machine Learning Journal VS Annotate

Compare Apple Machine Learning Journal VS Annotate and see what are their differences

Apple Machine Learning Journal logo Apple Machine Learning Journal

A blog written by Apple engineers

Annotate logo Annotate

Annotate (formerly know as Glui) is the simplest way to capture, annotate and share screenshots.
  • Apple Machine Learning Journal Landing page
    Landing page //
    2022-12-13
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Annotate videos

STRATEGY REVEALED : How I ANNOTATE and MARK my books for better READING | Libro Review

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  • Review - a *quality* guide to how i rate and annotate books

Category Popularity

0-100% (relative to Apple Machine Learning Journal and Annotate)
AI
70 70%
30% 30
Developer Tools
100 100%
0% 0
Image Annotation
0 0%
100% 100
Data Science And Machine Learning

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Social recommendations and mentions

Based on our record, Apple Machine Learning Journal seems to be more popular. 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.

Apple Machine Learning Journal mentions (6)

  • Does anyone else suspect that the official iOS ChatGPT app might be conducting some local inference / edge-computing? [Discussion]
    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
  • Which papers should I implement or which Projects should I do to get an entry level job as a Computer vision engineer at MAANG ?
    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
  • Apple’s secrecy created engineer burnout
    They have something for ML: https://machinelearning.apple.com. - Source: Hacker News / about 2 years ago
  • [D] Is anyone working on open-sourcing Dall-E 2?
    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
  • How does Apple achieve both secrecy and quality for a release?
    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
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Annotate mentions (0)

We have not tracked any mentions of Annotate yet. Tracking of Annotate recommendations started around Mar 2021.

What are some alternatives?

When comparing Apple Machine Learning Journal and Annotate, you can also consider the following products

Amazon Machine Learning - Machine learning made easy for developers of any skill level

LabelMe Annotation Tool - LabelMe is an annotation tool writen in Javascript and Perl for online image labeling.

Machine Learning Playground - Breathtaking visuals for learning ML techniques.

Datatang.ai - Datatang provides off-the-shelf AI training datasets, on-demand data collection & annotation solutions that power the world's most innovative artificial intelligence.

Lobe - Visual tool for building custom deep learning models

Predictly.co - Save time and resources with our state of the art human-in-loop Data annotation platform services to build your solution specific AI solutions. We help you with the data heavy lifting while your data scientists focus on business centric solutions.