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GelGenie-nnUNet-Extended-Dec-2023
mattaq/GelGenie-nnUNet-Extended-Dec-2023
GelGenie-nnUNet-Extended-Dec-2023 is a image segmentation model from mattaq. Use it for the image segmentation task on the model card, and read the license before you ship it in a product. It is set up for pytorch. The card lists the license as apache-2.0.
This model consists of a nnU-Net trained on the GelGenie training dataset in December 2023. It is highly robust and should produce good results for a wide variety of gel types and resolutions. The model was packaged i…
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Updated Sep 6, 2024
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At a glance
- Task
- Image Segmentation
- Library
- pytorch
- License
- apache-2.0
- Access
- Public
- Created
- Dec 27, 2023
- Updated
- Sep 6, 2024
- SHA
- f8b96d66
Model card
From the Hugging Face model README
This model consists of a nnU-Net trained on the GelGenie training dataset in December 2023. It is highly robust and should produce good results for a wide variety of gel types and resolutions. The model was packaged into a torchscript file by scripting many of the data processing functions within the model itself. As such, it is quite a large and complicated model and will require a GPU to run efficiently.
The model was trained on the combined training and validation set (470 images) for 600 epochs and the last checkpoint extracted.
For more details on the configuration used for training, please visit https://huggingface.co/mattaq/GelGenie-nnUNet-Extended-Dec-2023 and check the config files. Our codebase is fully open-sourced and is available here: https://github.com/mattaq31/GelGenie.
For the original nnU-Net package and for more details on the nnU-Net model itself, please check https://github.com/MIC-DKFZ/nnUNet.
- Task
- Image Segmentation
- Library
- pytorch
- License
- apache-2.0
- Created
- Dec 27, 2023
- Updated
- Sep 6, 2024