Caffe vs OpenVINO comparison

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Caffe Logo
293 views|213 comparisons
OpenVINO Logo
3,523 views|2,191 comparisons
Executive Summary

We performed a comparison between Caffe and OpenVINO based on real PeerSpot user reviews.

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Featured Review
Quotes From Members
We asked business professionals to review the solutions they use.
Here are some excerpts of what they said:
Pros
"Caffe has helped our company become up-to-date in the market and has helped us speed up the development process of our projects."

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"The initial setup is quite simple.""The features for model comparison, the feature for model testing, evaluation, and deployment are very nice. It can work almost with all the models.""The inferencing and processing capabilities are quite beneficial for our requirements."

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Cons
"The concept of Caffe is a little bit complex because it was developed and based in C++. They need to make it easier for a new developer, data scientist, or a new machine or deep learning engineer to understand it."

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"It has some disadvantages because when you're working with very complex models, neural networks if OpenVINO cannot convert them automatically and you have to do a custom layer and later add it to the model. It is difficult.""At this point, the product could probably just use a greater integration with more machine learning model tools.""The model optimization is a little bit slow — it could be improved."

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Pricing and Cost Advice
Information Not Available
  • "We didn't have to pay for any licensing with Intel OpenVINO. Everything is available on their site and easily downloadable for free."
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    Ranking
    14th
    Views
    293
    Comparisons
    213
    Reviews
    0
    Average Words per Review
    0
    Rating
    N/A
    10th
    Views
    3,523
    Comparisons
    2,191
    Reviews
    0
    Average Words per Review
    0
    Rating
    N/A
    Buyer's Guide
    AI Development Platforms
    March 2024
    Find out what your peers are saying about Microsoft, TensorFlow, Google and others in AI Development Platforms. Updated: March 2024.
    765,234 professionals have used our research since 2012.
    Comparisons
    TensorFlow logo
    Compared 59% of the time.
    PyTorch logo
    Compared 23% of the time.
    Azure OpenAI logo
    Compared 6% of the time.
    Google Vertex AI logo
    Compared 3% of the time.
    Learn More
    OpenVINO
    Video Not Available
    Overview

    Caffe is a deep learning framework made with expression, speed, and modularity in mind. It is developed by Berkeley AI Research (BAIR) and by community contributors.

    OpenVINO toolkit quickly deploys applications and solutions that emulate human vision. Based on Convolutional Neural Networks (CNNs), the toolkit extends computer vision (CV) workloads across Intel hardware, maximizing performance. The OpenVINO toolkit includes the Deep Learning Deployment Toolkit (DLDT).

    Top Industries
    No Data Available
    VISITORS READING REVIEWS
    Manufacturing Company36%
    Computer Software Company10%
    University8%
    Comms Service Provider7%
    Company Size
    No Data Available
    VISITORS READING REVIEWS
    Small Business15%
    Midsize Enterprise11%
    Large Enterprise74%
    Buyer's Guide
    AI Development Platforms
    March 2024
    Find out what your peers are saying about Microsoft, TensorFlow, Google and others in AI Development Platforms. Updated: March 2024.
    765,234 professionals have used our research since 2012.

    Caffe is ranked 14th in AI Development Platforms while OpenVINO is ranked 10th in AI Development Platforms. Caffe is rated 7.0, while OpenVINO is rated 8.6. The top reviewer of Caffe writes "Speeds up the development process but needs to evolve more to stay relevant". On the other hand, the top reviewer of OpenVINO writes "Open-source, easy to integrate, and perfectly tailored to the Movidius chipset". Caffe is most compared with PyTorch, whereas OpenVINO is most compared with TensorFlow, PyTorch, Google Cloud AI Platform, Azure OpenAI and Google Vertex AI.

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