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Compare Lightly vs Google Cloud AutoML

Lightly - Machine Learning Software
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Overview

Description

Lightly is a fast and lightweight framework for probabilistic machine learning. It comes with various built-in algorithms which user can also combine to create their own models. Lightly ... Read More

Google Cloud AutoML is a distinct machine learning platform developed to assist developers with limited experience in machine learning. This convenient platform offers developers access to ... Read More

Entry Level Pricing
  • Starts from $440 , Billed Yearly
  • Not Available
Free Trial Availability
  • No free trial
  • Free Trial available
User Ratings

4.1

(42)
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Software Demo

Demo

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Features

Total Features

0 Features

3 Features

Unique Features

No features

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    Pricing

    Pricing Option
        Starting From
        • $440 , Billed Yearly
        • Not Available
        Pricing Plans
        • Community

          • Samples per Dataset: 1'000

          • Datasets: 3

          • Upload: Thumbnails, Embeddings

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        • Professional

          • Samples per Dataset: 100'000

          • Datasets: 10

          • Upload: Thumbnails, Embeddings, Custom Metadata, Original Images

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        • Enterprise

          • Includes features of Professional plan, plus

          • Unique Features

          • Unlimited samples

          Show more +

        • Not Available

        Other Details

        Organization Types supported
        • Small Business
        • Freelancers
        • Large Enterprises
        • Medium Business
        • Individuals
        • Small Business
        • Freelancers
        • Large Enterprises
        • Medium Business
        • Individuals
        Platforms Supported
        • Installed - Windows
        • Browser Based (Cloud)
        • Mobile - iOS
        • Mobile - Android
        • Mobile - Windows
        • Installed - Mac
        • Mobile - BlackBerry
        • Browser Based (Cloud)
        • Installed - Windows
        • Browser Based (Cloud)
        • Mobile - iOS
        • Mobile - Android
        • Mobile - Windows
        • Installed - Mac
        • Mobile - BlackBerry
        • Browser Based (Cloud)
        Modes of support
        • 24/7 (Live rep)
        • Business Hours
        • Online
        • 24/7 (Live rep)
        • Business Hours
        • Online
        API Support
        • Available
        • Available
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        User Reviews

        User Ratings

        No reviews available for the product

        Rating Distribution

        No reviews available for the product

        Excellent

        8

        Very Good

        13

        Good

        1

        Poor

        0

        Terible

        0

        Positive Reviews

        No reviews available for the product

        No reviews available for the product

        Media and Screenshots

        Screenshots

        No screenshots available.

        Vision API

        1 Screenshots

        Videos
        video-0

        1 Videos

        video-0

        1 Videos

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        Frequently Asked Questions (FAQs)

        Stuck on something? We're here to help with all the questions and answers in one place.

        Google Cloud AutoML offers Free Trial, but Lightly does not.

        Lightly is designed for Freelancers, Large Enterprises, Medium Business and Small Business.

        Google Cloud AutoML is designed for Large Enterprises, Medium Business and Small Business.

        The starting price of Lightly begins at $440/Month when Billed Yearly, while pricing details for Google Cloud AutoML are unavailable.

        Some top alternatives to Lightly includes DeepBrainz AI, DataTorch, DVC Studio, Google Cloud AutoML, BigML, Moderate, ScoopML, DeepMux, d-label and Datamade.

        Some top alternatives to Google Cloud AutoML includes DeepBrainz AI, Qualified, Workvivo, Deploifai, Neuro, BasicAI, Commerce.AI, Oracle Data Science Cloud Service, BigML, Amazon SageMaker, Azure Machine Learning Studio and Booste.

        Disclaimer: This research has been collated from a variety of authoritative sources. We welcome your feedback at [email protected].