Toolbox of three image segmentation algorithms. The first is a naive region growing/shrining approach. Next is a U-Net with a resnet backbone pretrained on the COCO dataset with options to fine-tune it using the Bob Ros Paintings Dataset. This project aimed to explore classic image segmentation algorithms applied to paintings.
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Toolbox of three image segmentation algorithms. The first is a naive region growing/shrining approach. Next is a U-Net with a resnet backbone pretrained on the COCO dataset with options to fine-tune it using the Bob Ros Paintings Dataset. This project aimed to explore classic image segmentation algorithms applied to paintings.
noahj08/painting-segmentation
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Toolbox of three image segmentation algorithms. The first is a naive region growing/shrining approach. Next is a U-Net with a resnet backbone pretrained on the COCO dataset with options to fine-tune it using the Bob Ros Paintings Dataset. This project aimed to explore classic image segmentation algorithms applied to paintings.
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