# Supported Models {#openvino_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 `. 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