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Apple Machine Learning Journal VS Datatang.ai

Compare Apple Machine Learning Journal VS Datatang.ai and see what are their differences

Apple Machine Learning Journal logo Apple Machine Learning Journal

A blog written by Apple engineers

Datatang.ai logo 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.
  • Apple Machine Learning Journal Landing page
    Landing page //
    2022-12-13
  • Datatang.ai Landing page
    Landing page //
    2023-09-23

Category Popularity

0-100% (relative to Apple Machine Learning Journal and Datatang.ai)
AI
83 83%
17% 17
Image Annotation
0 0%
100% 100
Developer Tools
100 100%
0% 0
Data Science And Machine Learning

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Social recommendations and mentions

Based on our record, Datatang.ai should be more popular than Apple Machine Learning Journal. It has been mentiond 20 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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Datatang.ai mentions (20)

  • Datatang.ai Provides High-Quality Data Annotation Services for Autonomous Vehicle Machine Learning Models.
    Data annotation is an essential step in preparing data for use in Machine Learning models. This is where Datatang.ai comes in. Our company specializes in data annotation, providing high-quality and accurate data for training autonomous vehicle machine learning models. Our team of experts works diligently to ensure that every annotation meets the required standards, and our cutting-edge technology ensures that we... Source: about 1 year ago
  • Datatang.ai Offers High-Quality Data Annotation Providers for Autonomous Vehicle Artificial Intelligence Designs.
    Data annotation is a crucial action in preparing information for usage in Machine Learning versions. This is where Datatang.ai comes in. Our company specializes in data annotation, supplying high-quality and accurate data for training self-governing car equipment learning designs. Our team of professionals functions vigilantly to ensure that every annotation meets the required requirements, and also our advanced... Source: about 1 year ago
  • Customizable Object Tracking Dataset for Your Research or Product Development
    At Datatang.ai, we realize that every project has unique needs, which is why our object tracking dataset is customizable. We work with our clients to ensure that they receive the data that they need for their specific project, whether it's for research, training machine learning models, or developing new products. Source: about 1 year ago
  • Customizable Object Tracking Dataset for Your Study or Item Development
    At Datatang.ai, we realize that every job has special needs, which is why our object monitoring dataset is adjustable. We deal with our clients to guarantee that they receive the information that they require for their particular project, whether it's for research study, training equipment learning models, or developing new products. Source: about 1 year ago
  • Customizable Item Monitoring Dataset for Your Research or Item Growth
    At Datatang.ai, we realize that every job has unique needs, which is why our things tracking dataset is personalized. We deal with our clients to make sure that they get the information that they need for their details job, whether it's for research study, training machine discovering versions, or developing brand-new items. Source: about 1 year ago
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What are some alternatives?

When comparing Apple Machine Learning Journal and Datatang.ai, you can also consider the following products

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

Annotate - Annotate (formerly know as Glui) is the simplest way to capture, annotate and share screenshots.

Machine Learning Playground - Breathtaking visuals for learning ML techniques.

Labeling AI - Labeling AI is a deep learning-based auto labeling solution that develops and auto-labels custom AI by learning minimal manual labeling data.

Lobe - Visual tool for building custom deep learning models

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