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Apple Core ML VS SketchAR

Compare Apple Core ML VS SketchAR and see what are their differences

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Contents:
  1. » Base Details
  2. » Videos
  3. » Reviews
  4. » Alternatives

Apple Core ML logo Apple Core ML

Integrate a broad variety of ML model types into your app

SketchAR logo SketchAR

Start drawing easily using augmented reality
  • Apple Core ML Landing page
    Landing page //
    2023-06-13
  • SketchAR Landing page
    Landing page //
    2022-12-12

Apple Core ML features and specs

  • Integration with Apple Ecosystem
    Core ML is tightly integrated with Apple's hardware and software environments, providing seamless performance and ensuring that models work well across iOS, macOS, watchOS, and tvOS devices.
  • Performance Optimization
    Core ML is optimized for on-device performance, leveraging the capabilities of Apple’s processors to deliver fast and efficient machine learning tasks without significant battery drain or latency.
  • Privacy
    With on-device processing, Core ML allows for data privacy as it minimizes the need for sending user data to external servers, which aligns with Apple's strong privacy principles.
  • Ease of Use
    Developers can easily integrate machine learning models into their applications using Core ML, thanks to its extensive support for various model types and the availability of conversion tools from popular ML frameworks.
  • Continuous Updates
    Apple regularly updates Core ML to include the latest advancements and optimizations in machine learning, ensuring developers have access to cutting-edge tools.

Possible disadvantages of Apple Core ML

  • Platform Limitation
    Core ML is designed specifically for Apple devices, which limits its use to only Apple's ecosystem and may not be suitable for applications targeting multiple platforms.
  • Model Size Restrictions
    There are limitations on the size of models that can be deployed on-device, which can be a hindrance for applications requiring large and complex models.
  • Learning Curve
    For developers who are new to iOS or macOS development, there might be a learning curve to effectively integrate and utilize Core ML features within their applications.
  • Limited Framework Support
    While Core ML supports popular machine learning frameworks, not all frameworks and their full functionalities are supported, which can be restrictive for developers using niche or emerging frameworks.
  • Hardware Dependency
    The performance and capabilities of machine learning models in Core ML heavily depend on the specific hardware of the Apple device being used, which can lead to inconsistent performance across different devices.

SketchAR features and specs

  • Augmented Reality Feature
    SketchAR utilizes augmented reality to help users create drawings. It overlays the sketch onto real-world surfaces, making it easier for artists to follow complex patterns.
  • Educational Tool
    The app can be a powerful educational tool for individuals learning to draw or improve their skills.
  • NFT Marketplace
    Users can mint their artwork as NFTs and sell them directly through the SketchAR marketplace. This opens up possibilities for artists to monetize their creations.
  • Wide Range of Templates
    SketchAR provides a variety of templates and ready-to-use artworks, making it easy for beginners to start drawing.

Possible disadvantages of SketchAR

  • Limited Free Features
    Many of the app's more advanced features and templates are behind a paywall, which may limit the experience for users unwilling or unable to pay for premium features.
  • Requires Modern Devices
    The augmented reality capabilities necessitate a relatively modern smartphone or tablet, potentially excluding users with older devices.
  • Digital Medium Constraints
    For users who prefer traditional drawing methods, the digital nature of SketchAR's functionality may not provide the same tactile experience as paper and pencil.
  • Steep Learning Curve
    Although the app is designed to be user-friendly, some of the more advanced features may present a steep learning curve for new users.

Apple Core ML videos

+ Add

IBM Watson & Apple Core ML Collaboration - What it means for app development

SketchAR videos

+ Add

Drawing with Augmented Reality: AMAZING or AWFUL?? - SketchAR Review *Brutally Honest*

More videos:

  • Review - SketchAR HoloLensEDU Review 2017
  • Review - SketchAR app - Learn to draw using Augmented Reality

Category Popularity

0-100% (relative to Apple Core ML and SketchAR)

Apple Core ML

SketchAR

Developer Tools
100 100%
Developer Tools
0% 0
iPhone
0 0%
iPhone
100% 100
AI
100 100%
AI
0% 0
Augmented Reality
0 0%
Augmented Reality
100% 100

User comments

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Social recommendations and mentions

Based on our record, Apple Core ML should be more popular than SketchAR. 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.

Apple Core ML mentions (7)

  • Ask HN: Where is Apple? They seem to be left out of the AI race?
    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
  • The Magnitude of the AI Bubble
    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
  • 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: almost 2 years ago
  • Apple to occupy 90% of TSMC 3nm capacity in 2023
    > 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 / almost 2 years ago
  • The iPhone 13 is a pitch-perfect iPhone 12S
    This is the developer documentation where they advertise the APIs - https://developer.apple.com/machine-learning/. Source: over 3 years ago
View more

SketchAR mentions (1)

  • How to paint/sketch better?
    Practice is everything. The more you draw sketches more progress you get. When I graduated from the art academy, we went to a museum and copy famous artists to understand their lines, shapes, and composition. Later you will understand how to progress and build your style. You can find some youtube videos or courses, but I suggest the SketchAR app where you can try to draw from scratch and your artistic skills... Source: over 3 years ago

What are some alternatives?

When comparing Apple Core ML and SketchAR, you can also consider the following products

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

Apple ARKit - A framework to create Augmented Reality experiences for iOS

TensorFlow Lite - Low-latency inference of on-device ML models

Made With ARKit - Hand-picked curation of the coolest stuff made with ARKit

ML5.js - Friendly machine learning for the web

AirMeasure - Turn your phone into a ruler with the power of AR

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