PULL_REQUEST_TEMPLATE.md

Model Name

Description of model

Model

Model	ONNX Model	Model archives(optional)	Accuracy
Model Name	ONNX Model link with size	Model archive link with size	Accuracy values

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Inference

Step by step instructions on how to use the pretrained model and link to an example notebook/code. This section should ideally contain:

Input to model

Input to network (Example: 224x224 pixels in RGB)

Preprocessing steps

Preprocessing required

Output of model

Output of network

Postprocessing steps

Post processing and meaning of output

Inference with Model Server (if applicable)

Details of inference with model server using model archives if applicable

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Dataset (Train and validation)

This section should discuss datasets and any preparation steps if required.

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Validation accuracy

Details of experiments leading to accuracy and comparison with the reference paper.

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Training

Training details (preprocessing, hyperparameters, resources and environment) along with link to a training notebook (optional)

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Validation

Validation script/notebook used to obtain accuracy reported above along with details of how to use it and reproduce accuracy.

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References

Link to references

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Contributors

Contributors' name

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Acknowledgements

Thank anyone whose existing work was used (optional)

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Keyword

Keywords/tags related to models

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