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BBracke/DFUC24_baselines
DFUC24_baselines is a machine learning model from BBracke. Use it for the machine learning task on the model card, and read the license before you ship it in a product.
This repository contains baseline models for the DFUC24 challenge. Two approaches were investigated:
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Updated Oct 4, 2024
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From the Hugging Face model README
This repository contains baseline models for the DFUC24 challenge. Two approaches were investigated:
Training a supervised segmentation head (using the DFUC22 dataset) on frozen image embeddings of the self-supervised pre-trained DINOv2 image backbone.
Using GroundedDINO + SAM in combination to achieve ulcer detection, which serves as a prompt for the SegmentAnything (SAM) model, as well as fine-tuned (using the DFUC22 dataset) versions of GroundedDINO and SAM.