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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:
- 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>. - 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 :ref:
OpenVINO Extensibility<https://docs.openvino.ai/latest/openvino_docs_Extensibility_UG_Intro.html>.
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 | +--------------------------------------------+-------------------+
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