Supported Models
Contents
Supported Models#
Below is a set of pre-trained models we use from Open Model Zoo <https://github.com/openvinotoolkit/open_model_zoo>
that we use for testing. Model Proc is a .json file that describes input and output layers of a model,
format and rules for data pre-processing and post-processing.
Object Detection Models (Intel®)#
Object Detection Models (Public)#
Model Name |
Model Proc |
Labels |
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None |
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Object Recognition Models (Intel®)#
Model Name |
Model Proc |
|---|---|
None |
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None |
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Classification Models (Intel®)#
Model Name |
Model Proc |
|---|---|
Classification Models (Public)#
Model Name |
Model Proc |
Labels |
|---|---|---|
None |
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None |
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Human Pose Estimation Models#
Model Name |
Model Proc |
|---|---|
human-pose-estimation-0001 (intel) |
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single-human-pose-estimation-0001 (public) |
Sound Classification Models (Public)#
Model Name |
Model Proc |
|---|---|
Object Detection and Recognition Models (ONNX Model Zoo)#
Model Name |
Model Proc |
|---|---|
Overview of supported models for preview features#
Action Recognition Models (Intel®)#
Model Name |
Model Proc |
|---|---|
Support for the models below is only available on the preview/segmentation branch.
Semantic Segmentation Models (Intel®)#
Model Name |
Model Proc |
|---|---|
Instance Segmentation Models (Intel®)#
Model Name |
Model Proc |
|---|---|
Text Detection Models (Intel®)#
Model Name |
Model Proc |
|---|---|