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H2O.ai vs. IBM Watson Visual Recognition (discontinued)

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    Overview
    ProductRatingMost Used ByProduct SummaryStarting Price

    H2O.ai

    Score6.4 out of 10
    N/AAn open-source end-to-end GenAI platform for air-gapped, on-premises or cloud VPC deployments. Users can Query and summarize documents or just chat with local private GPT LLMs using h2oGPT, an Apache V2 open-source project. And the commercially available Enterprise h2oGPTe provides information retrieval on internal data, privately hosts LLMs, and secures data.N/A

    IBM Watson Visual Recognition (discontinued)

    Score10 out of 10
    N/AIBM's Watson Visual Recognition was a machine learning application designed to tag and classify image data, and deployable for a wide variety of purposes. The service was discontinued in early 2021, and is no longer available.N/A
    Pricing
    H2O.aiIBM Watson Visual Recognition (discontinued)
    Editions & Modules
    No answers on this topic
    No answers on this topic
    Offerings
    Pricing Offerings
    H2O.aiIBM Watson Visual Recognition (discontinued)
    Free Trial
    NoNo
    Free/Freemium Version
    YesNo
    Premium Consulting/Integration Services
    NoNo
    Entry-level Setup FeeNo setup feeNo setup fee
    Additional Details——
    More Pricing Information
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    H2O.aiIBM Watson Visual Recognition (discontinued)
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    User Ratings
    H2O.aiIBM Watson Visual Recognition (discontinued)
    Likelihood to Recommend
    8.1
    (3 ratings)
    9.0
    (2 ratings)
    Usability
    -
    (0 ratings)
    6.0
    (1 ratings)
    Support Rating
    9.0
    (1 ratings)
    -
    (0 ratings)
    User Testimonials
    H2O.aiIBM Watson Visual Recognition (discontinued)
    Likelihood to Recommend
    H2O.ai
    Most suited if in little time you wanted to build and train a model. Then, H2O makes life very simple. It has support with R, Python and Java, so no programming dependency is required to use it. It's very simple to use. If you want to modify or tweak your ML algorithm then H2O is not suitable. You can't develop a model from scratch.
    Incentivized
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    Discontinued Products
    As I mentioned before, it can only be employed in simple basic visual recognition applications. It can be employed in large projects and relying it on completely is not encouraged. It's better to create your own algorithms rather than using it. If you are from a non-programming background, then I may suggest you rely on this and use it to develop simple apps that can predict a few plants and animals.
    Incentivized
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    Pros
    H2O.ai
    • Excellent analytical and prediction tool
    • In the beginning, usage of H20 Flow in Web UI enables quick development and sharing of the analytical model
    • Readily available algorithms, easy to use in your analytical projects
    • Faster than Python scikit learn (in machine learning supervised learning area)
    • It can be accessed (run) from Python, not only JAVA etc.
    • Well documented and suitable for fast training or self studying
    • In the beginning, one can use the clickable Flow interface (WEB UI) and later move to a Python console. There is then no need to click in H20 Flow
    • It can be used as open source
    Incentivized
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    Discontinued Products
    • Food recognition
    • High reliability
    • Speed
    Incentivized
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    Cons
    H2O.ai
    • Better documentation
    • Improve the Visual presentations including charting etc
    Incentivized
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    Discontinued Products
    • Not perfect
    • Accuracy is doubted and sometimes it may not predict correctly.
    • I think it should be improved and should add a few more functionalities.
    Incentivized
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    Usability
    H2O.ai
    No answers on this topic
    Discontinued Products
    I am giving this rating on the basis of its usability in real-time applications and based on the interface to upload negative and positive images to train the AI. But it's not perfect and sometimes its predictions are wrong. On overall usability, it's better if you are planning on working with UI rather than using complex programs and algorithms on your own.
    Incentivized
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    Support Rating
    H2O.ai
    The overall experience I have with H2O is really awesome, even with its cost effectiveness.
    Incentivized
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    Discontinued Products
    No answers on this topic
    Alternatives Considered
    H2O.ai
    Both are open source (though H2O only up to some level). Both comprise of deep learning, but H2O is not focused directly on deep learning, while Tensor Flow has a "laser" focus on deep learning. H2O is also more focused on scalability. H2O should be looked at not as a competitor but rather a complementary tool. The use case is usually not only about the algorithms, but also about the data model and data logistics and accessibility. H2O is more accessible due to its UI. Also, both can be accessed from Python. The community around TensorFlow seems larger than that of H2O.
    Incentivized
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    Discontinued Products
    No answers on this topic
    Return on Investment
    H2O.ai
    • Positive impact: saving in infrastructure expenses - compared to other bulky tools this costs a fraction
    • Positive impact: ability to get quick fixes from H2O when problems arise - compared to waiting for several months/years for new releases from other vendors
    • Positive impact: Access to H2O core team and able to get features that are needed for our business quickly added to the core H2O product
    Incentivized
    Read full review
    Discontinued Products
    • High cost if models are trained
    Incentivized
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