# OpenVino Reviews
**Vendor:** Intel Corporation  
**Category:** [Other Analytics Software](https://www.g2.com/categories/other-analytics)  
**Average Rating:** 4.3/5.0  
**Total Reviews:** 13
## About OpenVino
Accelerate development of high-performance computer vision and deep learning inference on Intel® technology-based platforms. OpenVINO™ Pro for Enterprise offers support, added services, and exclusive access to future code releases.




## OpenVino Reviews
  ### 1. Real time CPU inference

**Rating:** 4.5/5.0 stars

**Reviewed by:** Verified User in Information Technology and Services | Mid-Market (51-1000 emp.)

**Reviewed Date:** September 27, 2021

**What do you like best about OpenVino?**

The most important upside of OpenVino is ability to predict real time on CPU. It also has various accelerators like GPU, VPU, FPGA. OpenVino's documentation is very well maintained. Hence, its easy to use. We can also customize OpenCL. We can also prune and quantize deep learning models. It has its own benchmarking tool. It has many model conversion features. Like converting any model to its intermediate representation from onnx,pytorch,tensorflow, keras.
 It has many sample Deep learning/computer vision examples that are already well optimized.

**What do you dislike about OpenVino?**

It has many versions. So you need to stay updated in our to run various DL models efficiently. You might get version conflicts. Its feature of model optimization is a bit slow. It becomes difficult to convert latest state of the art models due to internal layer implementation. Training complex neural network can be a concern as model conversion can be quite typical. Also it does not have more references for beginners. These are the things I do not like about Openvino and needs improvements.

**Recommendations to others considering OpenVino:**

I would totally recommend OpenVino to all the users in the field of Computer Vision and Deep learning. From my personal experience, it is very simple to setup. Has great documentation and community support. You will be able to achieve higher FPS with great accuracy. And when thinking about scalability of a usecase on a CPU, OpenVino will be the best choice. Even for edge deployments, its has many accelerators. Hence anyone looking for wdge deployments as well. It is a great choice for smaller light weight models.

**What problems is OpenVino solving and how is that benefiting you?**

Well I have been using Openvino for various computer vision applications. All the LPU deployments that are CPU based and needs higher processing speed with accuracy are done using OpenVino. It has also been helpful in converting heavy complex model to light weight faster simpler model. Its serving architecture is a great feature for handling multiple streams all at once. Hence, openvino benifits us in terms of scalability, throughput and accuracy.

  ### 2. It was fun and amazing experience to use and learn OpenVino.

**Rating:** 4.0/5.0 stars

**Reviewed by:** saurabh p. | Creative Programmer, Small-Business (50 or fewer emp.)

**Reviewed Date:** September 25, 2021

**What do you like best about OpenVino?**

I majorly like that OpenVino available for most of the platforms, which is one of my top features. Apart from this, the workflow and the documentation of how to use it are unique too. I majorly like that OpenVino available for most of the platforms, which is one of my top features. Apart from this, the workflow and the documentation of how to use it are unique too. I advise those who are seeking to learn something latest up-to-the-date toolkit I must suggest using this and as per my experience, they will know and built a lot of new things.

**What do you dislike about OpenVino?**

When I was commencing this, I found little difficulty, but after some time, I understood all very well.

**Recommendations to others considering OpenVino:**

I advise those who are seeking to learn something latest up-to-the-date toolkit I must suggest using this and as per my experience, they will know and built a lot of new things. I advise those who are seeking to learn something latest up-to-the-date toolkit I must suggest using this and as per my experience, they will know and built a lot of new things.

**What problems is OpenVino solving and how is that benefiting you?**

I solved many of OpenCV and helped to solve some Augmented Reality and other issues which I was facing previously. Also, it's easy to use and learn, so it's very beneficial for me. I advise those who are seeking to learn something latest up-to-the-date toolkit I must suggest using this and as per my experience, they will know and built a lot of new things.

  ### 3. Openvino is one of the most industry ready inference engine available now

**Rating:** 4.0/5.0 stars

**Reviewed by:** Verified User in Hospital & Health Care | Mid-Market (51-1000 emp.)

**Reviewed Date:** September 22, 2021

**What do you like best about OpenVino?**

OpenVino has a lot of resources and examples, which can be utilized to build our own custom deep learning solutions. OpenVino has worked very well in industrial projects, especially in custom computer vision solutions. Also, it is very easy to integrate with Python projects and can run on a plethora of devices, which makes it an ideal choice as an inference engine.

**What do you dislike about OpenVino?**

The learning curve is a bit steep for beginner and novice developers.

**Recommendations to others considering OpenVino:**

Having an intermediate knowledge of deep learning will help a lot to build faster with OpenVino.

**What problems is OpenVino solving and how is that benefiting you?**

We are creating computer vision solutions for detecting watermarks, identifying custom logos from images, text retrieval from images, etc. The existing resources helped us a lot in getting a head start. The development pipeline is smooth and the inferencing is a lot faster compared to other similar solutions.

  ### 4. 3x inference speed up with OpenVINO

**Rating:** 5.0/5.0 stars

**Reviewed by:** Verified User in Hospital & Health Care | Mid-Market (51-1000 emp.)

**Reviewed Date:** September 17, 2021

**What do you like best about OpenVino?**

Increased inference speed - My inference time reduced from 120ms to 30ms using OpenVINO

**What do you dislike about OpenVino?**

Little complex code to save and use loaded model

**What problems is OpenVino solving and how is that benefiting you?**

Real time analysis of blood cell regions - I was able to run the model in real time to analyse the blood cell region.

  ### 5. First hand review as a Developer/User.

**Rating:** 4.5/5.0 stars

**Reviewed by:** Shoaib A. | AI Developer, Enterprise (> 1000 emp.)

**Reviewed Date:** September 23, 2021

**What do you like best about OpenVino?**

Deep Learning models support, IR Format, Model Optimization, Ngraph Bridge, etc. The list goes on...

**What do you dislike about OpenVino?**

Some Models failed by model optimizers to convert IR Files. And the conversion should be both ways optimized and not optimized; sometimes, I want to retain my ops and nodes.

**Recommendations to others considering OpenVino:**

It's basically a ready set go process, if you work on Deep Learning Models, OpenVINO is the Best Tool for it, be it inferencing, optimizations, or anything

**What problems is OpenVino solving and how is that benefiting you?**

Generally Model Optimizations, And I love its Inference Engine as well.

  ### 6. Machine learning mechanic

**Rating:** 5.0/5.0 stars

**Reviewed by:** marcia かおる w. | Chief Guru, Small-Business (50 or fewer emp.)

**Reviewed Date:** September 26, 2021

**What do you like best about OpenVino?**

I like the pre-trained models. I like the ease of setting up and getting started.

**What do you dislike about OpenVino?**

With each iteration they change things and the file structure or hierarchy so certain things needed to be changed. Also with different iterations there was a need to change plugins.

**What problems is OpenVino solving and how is that benefiting you?**

I enjoy the benefit of using object and different types of recognition systems cleanly out of the box without having to train models myself but being able to use image net and other networks.

  ### 7. OpenVino integrated GPU inference

**Rating:** 5.0/5.0 stars

**Reviewed by:** Verified User in Computer Software | Small-Business (50 or fewer emp.)

**Reviewed Date:** September 23, 2021

**What do you like best about OpenVino?**

Using OpenVino to perform inference on the Intel integrated GPU helped my team lower CPU utilization while making use of previously unutilized resources.

**What do you dislike about OpenVino?**

There is a lack of support for kernel tuning and optimization granularities with the integrated GPU inference

**Recommendations to others considering OpenVino:**

I would recommend switching to OpenVino to save yourself resources and get more bang for you buck.

**What problems is OpenVino solving and how is that benefiting you?**

We have been able to get more bang for our buck with our onboard computers. Utilizing the integrated GPU for inference freed up half of our CPU. This allows us to run more CPU intensive software simultaneously.

  ### 8. Open visual Inferencing & Neural network optimisation

**Rating:** 5.0/5.0 stars

**Reviewed by:** Jebin T. | E, Small-Business (50 or fewer emp.)

**Reviewed Date:** September 24, 2021

**What do you like best about OpenVino?**

*user friendly
*Easy to use
*Deep learning models are already available

**What do you dislike about OpenVino?**

*It only provides inferences
*Pre trained models are required

**Recommendations to others considering OpenVino:**

User friendly, deep learned models available

**What problems is OpenVino solving and how is that benefiting you?**

One can solve problems related to road traffic,thief identifing & tracking.

  ### 9. A toolkit which best suite to develop application for computer vision

**Rating:** 5.0/5.0 stars

**Reviewed by:** Verified User in Information Technology and Services | Enterprise (> 1000 emp.)

**Reviewed Date:** September 27, 2021

**What do you like best about OpenVino?**

Optimize and deploy deep learning solution across multiple Intel platforms.
Allows to maximize the performance on any type of processors.

**What do you dislike about OpenVino?**

Sometimes Openvino don't able to convert deeplearning models.
To resolve this you need to create your own custom layers and it's difficult.

**What problems is OpenVino solving and how is that benefiting you?**

Openvino helps to create,convert and optimize the deep learning models.
The Optimized models can be deploy on large scales of hardware.

  ### 10. Not easy to use, and sparse documentation

**Rating:** 1.0/5.0 stars

**Reviewed by:** Verified User in Defense & Space | Enterprise (> 1000 emp.)

**Reviewed Date:** September 29, 2021

**What do you like best about OpenVino?**

I guess the best part is that it works once you spend a lot of time learning it.

**What do you dislike about OpenVino?**

Not straightforward to learn and the documentation is sparse. The documentation that does exist is not well organized.

**What problems is OpenVino solving and how is that benefiting you?**

We are trying to put a neural network onto a TPU.

  ### 11. Review of OpenVino

**Rating:** 5.0/5.0 stars

**Reviewed by:** Verified User in Information Technology and Services | Small-Business (50 or fewer emp.)

**Reviewed Date:** September 20, 2021

**What do you like best about OpenVino?**

Versatility, modern interface, ease of access

**What do you dislike about OpenVino?**

None that i can see so far, it is very useful

**What problems is OpenVino solving and how is that benefiting you?**

The features for model comparison, the feature for model testing, evaluation, and deployment are very nice. It can work almost with all the models.

  ### 12. It was easy to handle the CV tool for Computer Vision and optimization is of very high quality.

**Rating:** 4.5/5.0 stars

**Reviewed by:** Verified User in Higher Education | Mid-Market (51-1000 emp.)

**Reviewed Date:** September 23, 2021

**What do you like best about OpenVino?**

I like it most when it is capable of converting codes usable for many platforms and frameworks.

**What do you dislike about OpenVino?**

It is a lengthy process and requires a lot of configuration.

**What problems is OpenVino solving and how is that benefiting you?**

I am solving Industry related problems as well as traffic-related issues.

  ### 13. Great tool

**Rating:** 5.0/5.0 stars

**Reviewed by:** Verified User in Information Technology and Services | Mid-Market (51-1000 emp.)

**Reviewed Date:** September 25, 2021

**What do you like best about OpenVino?**

It supports more file/model types and both fp16 and int8 quantization levels

**What do you dislike about OpenVino?**

need more support for latest nlp transformer models

**What problems is OpenVino solving and how is that benefiting you?**

Faster inference and common ir files across many intel devices


## OpenVino Discussions
  - [What does OpenVINO stand for?](https://www.g2.com/discussions/what-does-openvino-stand-for)
  - [What are the main functions of Intel&#39;s OpenVINO toolkit?](https://www.g2.com/discussions/what-are-the-main-functions-of-intel-s-openvino-toolkit)
  - [What is the best way to deploy a Openvino model at scale? And where can I get detailed information regarding model pruning and quantization?](https://www.g2.com/discussions/what-is-the-best-way-to-deploy-a-openvino-model-at-scale-and-where-can-i-get-detailed-information-regarding-model-pruning-and-quantization) - 1 upvote
  - [I majorly like that OpenVino available for most of the platforms, which is one of my top features. Apart from this, the workflow and the documentation of how to use it are unique too. I advise those who are seeking to learn something latest up-to-the-date toolkit I must suggest using this and as per my experience, they will know and built a lot of new things.](https://www.g2.com/discussions/i-majorly-like-that-openvino-available-for-most-of-the-platforms-which-is-one-of-my-top-features-apart-from-this-the-workflow-and-the-documentation-of-how-to-use-it-are-unique-too-i-advise-those-who-are-seeking-to-learn-something-latest-up-to-the-date-too) - 1 upvote
  - [HDDL and FPGA support is difficult, i hope we can get faster response  for our queries](https://www.g2.com/discussions/hddl-and-fpga-support-is-difficult-i-hope-we-can-get-faster-response-for-our-queries) - 1 upvote

- [View OpenVino pricing details and edition comparison](https://www.g2.com/products/openvino/reviews?section=pricing&secure%5Bexpires_at%5D=2026-05-13+10%3A38%3A01+-0500&secure%5Bsession_id%5D=82099ceb-8970-4ac4-8cf6-bfb2d1d4d26b&secure%5Btoken%5D=337131965b7b2d76382e45774cc9b68ce373fc75b746a6dd3898fb86c6954ff9&format=llm_user)


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