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Supported Models
@sphinxdirective The OpenVINO team continues the effort to support as many models out-of-the-box as possible. Based on our research and user feedback, we prioritize the most common models and test them before every release. These models are considered officially supported.
.. button-link:: _static/download/OV_2023_models_supported.pdf :color: primary :outline:
:material-regular:download;1.5em Click for supported models [PDF]
| Note that the list provided here does not include all models supported by OpenVINO. | If your model is not included but is similar to those that are, it is still very likely to work. If your model fails to execute properly there are a few options available:
- You can create a GitHub request for the operation(s) that are missing. These requests are reviewed regularly. You will be informed if and how the request will be accommodated. Additionally, your request may trigger a reply from someone in the community who can help.
- As OpenVINO™ is open source you can enhance it with your own contribution to the GitHub repository. To learn more, see the articles on :doc:
OpenVINO Extensibility <openvino_docs_Extensibility_UG_Intro>.
The following table summarizes the number of models supported by OpenVINO™ in different categories:
=========================================== ====================
Model Categories: Number of Models:
=========================================== ====================
Object Detection 149
Instance Segmentation 3
Semantic Segmentation 19
Image Processing, Enhancement 16
Monodepth 2
Colorization 2
Behavior / Decision Prediction 1
Action Recognition 2
Time Series Forecasting 1
Image Classification 68
Image Classification, Dual Path Network 1
Image Classification, Emotion 1
Image Translation 1
Natural language Processing 35
Text Detection 18
Audio Enhancement 3
Sound Classification 2
=========================================== ====================
@endsphinxdirective