OpenVINO Room for Improvement

Utku Aktas
Computer Vision Engineer at UpWork Freelancer
Their resolution time for certain kinds of issues could be better. I had a problem during the implementation, and it took them two or three months to resolve it. I wasted so much time. If it is a simple problem or implementation issue, they will provide the answers and solve it quickly, but if there are some problems with the product, it can take time. View full review »
Freelance Engineer at Autonomo
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. These are the main disadvantages that OpenVINO has that are a bit limited for some models. View full review »
Zafar Muhammed
Founder and CEO at HiTech Solutions and Business Automation
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 — types of vehicles. Differentiating between cars, SUVs and different types of light, heavy, and medium trucks can be tricky. We have to train such models ourselves and then transfer them onto OpenVINO. View full review »
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