65 lines
4.1 KiB
Markdown
65 lines
4.1 KiB
Markdown
# Supported Models {#openvino_supported_models}
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@sphinxdirective
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The OpenVINO team continues the effort to support as many models out-of-the-box as possible.
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Based on our research and user feedback, we prioritize the most common models and test them
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before every release. These models are considered officially supported.
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.. button-link:: _static/download/OV_2023_models_supported.pdf
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:color: primary
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:outline:
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:material-regular:`download;1.5em` Click for supported models [PDF]
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| Note that the list provided here does not include all models supported by OpenVINO.
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| If your model is not included but is similar to those that are, it is still very likely to work.
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If your model fails to execute properly there are a few options available:
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* If the model originates from a framework like TensorFlow or PyTorch, OpenVINO™ offers a hybrid solution. The original model can be run without explicit conversion into the OpenVINO format. For more information, see :ref:`OpenVINO TensorFlow Integration <https://docs.openvino.ai/latest/ovtf_integration.html>`.
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* 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.
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* As OpenVINO™ is open source you can enhance it with your own contribution to the GitHub repository. To learn more, see the articles on :ref:`OpenVINO Extensibility<https://docs.openvino.ai/latest/openvino_docs_Extensibility_UG_Intro.html>`.
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The following table summarizes the number of models supported by OpenVINO™ in different categories:
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+--------------------------------------------+-------------------+
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| Model Categories: | Number of Models: |
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+============================================+===================+
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| Object Detection | 149 |
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+--------------------------------------------+-------------------+
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| Instance Segmentation | 3 |
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+--------------------------------------------+-------------------+
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| Semantic Segmentation | 19 |
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+--------------------------------------------+-------------------+
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| Image Processing, Enhancement | 16 |
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+--------------------------------------------+-------------------+
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| Monodepth | 2 |
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+--------------------------------------------+-------------------+
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| Colorization | 2 |
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+--------------------------------------------+-------------------+
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| Behavior / Decision Prediction | 1 |
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+--------------------------------------------+-------------------+
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| Action Recognition | 2 |
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+--------------------------------------------+-------------------+
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| Time Series Forecasting | 1 |
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+--------------------------------------------+-------------------+
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| Image Classification | 68 |
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+--------------------------------------------+-------------------+
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| Image Classification, Dual Path Network | 1 |
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+--------------------------------------------+-------------------+
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| Image Classification, Emotion | 1 |
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+--------------------------------------------+-------------------+
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| Image Translation | 1 |
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+--------------------------------------------+-------------------+
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| Natural language Processing | 35 |
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+--------------------------------------------+-------------------+
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| Text Detection | 18 |
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+--------------------------------------------+-------------------+
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| Audio Enhancement | 3 |
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+--------------------------------------------+-------------------+
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| Sound Classification | 2 |
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+--------------------------------------------+-------------------+
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@endsphinxdirective |