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forest_segmentation: binary segmentation
- data: https://www.kaggle.com/datasets/quadeer15sh/augmented-forest-segmentation
- model: unet_segmentation.py
- input is expected to be in folders 'masks' and 'images' as .jpg images
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cityscapes-images-paris: multiple segmentation
- data: https://www.kaggle.com/datasets/dansbecker/cityscapes-image-pairs
- preprocessing of the multiclass masks has been adapted from: https://www.kaggle.com/code/yauhenikavaliou/camseq-semantic-segmentation
- model: unet_segmentation_multi.py
- input is expected to be in folders 'masks' and images
-
Possible improvements:
- add class weights
froukje/image-segmentation
This repo contains a u-net and a u2-net applied for image segmentation.
Jupyter Notebook