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Read 1 Caffe review.
137 views|85 comparisons
OpenVINO Logo
1,523 views|1,080 comparisons
Top Review
Find out what your peers are saying about Microsoft, TensorFlow, OpenVINO and others in AI Development Platforms. Updated: September 2021.
533,638 professionals have used our research since 2012.
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 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.""The initial setup is quite simple."

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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.""The model optimization is a little bit slow — it could be improved.""At this point, the product could probably just use a greater integration with more machine learning model tools."

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Pricing and Cost Advice
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"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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Questions from the Community
Top Answer: Caffe has helped our company become up-to-date in the market and has helped us speed up the development process of our projects.
Top Answer: In the future, they should expand text processing, for a recommendation system, or to support some other models as well — that would be great. The concept of Caffe is a little bit complex because it… more »
Top Answer: We used this solution to make a face recognition system that uses gender and age prediction. We have to recognize and register faces for security reasons. Since we don't know all the people that are… more »
Top Answer: The inferencing and processing capabilities are quite beneficial for our requirements.
Top Answer: We didn't have to pay anything for Intel OpenVINO, everything was available on their site. All of their solutions, inference engines, and other model optimizations are all available for free. We… more »
Top Answer: The model optimization is a little bit slow — it could be improved. They should introduce some type of deep learning accelerator, like Jetson Xavier NX. There is a lacking in vehicle recognition —… more »
Ranking
6th
Views
137
Comparisons
85
Reviews
1
Average Words per Review
1,629
Rating
7.0
3rd
Views
1,523
Comparisons
1,080
Reviews
3
Average Words per Review
731
Rating
8.7
Comparisons
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OpenVINO
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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).

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Top Industries
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VISITORS READING REVIEWS
Manufacturing Company31%
Comms Service Provider24%
Computer Software Company18%
Educational Organization4%
Find out what your peers are saying about Microsoft, TensorFlow, OpenVINO and others in AI Development Platforms. Updated: September 2021.
533,638 professionals have used our research since 2012.

Caffe is ranked 6th in AI Development Platforms with 1 review while OpenVINO is ranked 3rd in AI Development Platforms with 3 reviews. 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 TensorFlow, whereas OpenVINO is most compared with TensorFlow, PyTorch, Microsoft Azure Machine Learning Studio, Google Cloud AI Platform and IBM Watson OpenScale.

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