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GelGenie-Universal-FineTune-May-2024
mattaq/GelGenie-Universal-FineTune-May-2024
GelGenie-Universal-FineTune-May-2024 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 an SMP-UNet that has been finetuned from the universal December 2023 model. The finetuning was for 11 epochs on a set of 20 gel images containing sharp gel bands (Stella dataset). The model sacr…
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Updated Jan 14, 2025
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At a glance
- Task
- Image Segmentation
- Library
- pytorch
- License
- apache-2.0
- Access
- Public
- Created
- May 18, 2024
- Updated
- Jan 14, 2025
- SHA
- 421829f4
Model card
From the Hugging Face model README
This model consists of an SMP-UNet that has been finetuned from the universal December 2023 model. The finetuning was for 11 epochs on a set of 20 gel images containing sharp gel bands (Stella dataset). The model sacrifices a tiny amount of general performance for superior results with clean, very sharp gel bands.
For more details on the configuration used for training, please visit https://huggingface.co/mattaq/GelGenie-Universal-FineTune-May-2024 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, 2024
- Updated
- Jan 14, 2025