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.
Inference Providers
NEW
This model is not currently available via any of the supported Inference Providers.
The model cannot be deployed to the HF Inference API:
The HF Inference API does not support image-segmentation models for pytorch library.