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GelGenie-LowRes-Dec-2023
mattaq/GelGenie-LowRes-Dec-2023
GelGenie-LowRes-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 an SMP-UNet trained on the LSDB dataset in December 2023 for GelGenie. It should only be used for low-resolution images.
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Updated Oct 7, 2024
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At a glance
- Task
- Image Segmentation
- Library
- pytorch
- License
- apache-2.0
- Access
- Public
- Created
- Dec 24, 2023
- Updated
- Oct 7, 2024
- SHA
- 0a83ef1b
Model card
From the Hugging Face model README
This model consists of an SMP-UNet trained on the LSDB dataset in December 2023 for GelGenie. It should only be used for low-resolution images.
The model was trained on the training set (53 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-LowRes-Dec-2023 and check the config.toml file. Our codebase is fully open-sourced and is available here: https://github.com/mattaq31/GelGenie.
- Task
- Image Segmentation
- Library
- pytorch
- License
- apache-2.0
- Created
- Dec 24, 2023
- Updated
- Oct 7, 2024