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README.md
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@@ -9,3 +9,5 @@ This model consists of an SMP-UNet trained on the GelGenie training dataset in D
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The model was trained on the training set (420 images) for 600 epochs and the best checkpoint extracted based on the validation dice score.
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For more details on the configuration used for training, please visit https://huggingface.co/mattaq/GelGenie-Universal-Dec-2023 and check the config.toml file. Our codebase is fully open-sourced and is available here: https://github.com/mattaq31/GelGenie.
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The model was trained on the training set (420 images) for 600 epochs and the best checkpoint extracted based on the validation dice score.
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For more details on the configuration used for training, please visit https://huggingface.co/mattaq/GelGenie-Universal-Dec-2023 and check the config.toml file. Our codebase is fully open-sourced and is available here: https://github.com/mattaq31/GelGenie.
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A [BioImage.IO](https://bioimage.io/#/) version of this model is also available for download [here](https://huggingface.co/mattaq/GelGenie-Universal-Dec-2023/resolve/main/gelgenie_universal_model_bioimageio.zip).
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