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GelGenie-Universal-Dec-2023
cykavodka/GelGenie-Universal-Dec-2023
GelGenie-Universal-Dec-2023 is a image segmentation model from cykavodka. 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 an SMP-UNet 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. This is the primary mo…
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Updated May 18, 2026
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At a glance
- Task
- Image Segmentation
- Library
- pytorch
- License
- apache-2.0
- Access
- Public
- Created
- May 18, 2026
- Updated
- May 18, 2026
- SHA
- 1845c27a
Model card
From the Hugging Face model README
This model consists of an SMP-UNet 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. This is the primary model that should be the first point of reference for any new gel analysis.
The model was trained on the training set (420 images) for 600 epochs and the best checkpoint extracted based on the validation dice score.
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.
A BioImage.IO version of this model is also available for download here.
- Task
- Image Segmentation
- Library
- pytorch
- License
- apache-2.0
- Created
- May 18, 2026
- Updated
- May 18, 2026