https://github.com/arbit3rr/unet-aerialsegmentation
A PyTorch implementation of U-Net for aerial imagery semantic segmentation.
Science Score: 13.0%
This score indicates how likely this project is to be science-related based on various indicators:
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○CITATION.cff file
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✓codemeta.json file
Found codemeta.json file -
○.zenodo.json file
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○DOI references
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○Academic publication links
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○JOSS paper metadata
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○Scientific vocabulary similarity
Low similarity (2.7%) to scientific vocabulary
Keywords
aerial-imagery
cross-entropy-loss
focal-loss
iou-loss
pytorch
segmentation
semantic-segmentation
u-net
unet
Last synced: 6 months ago
·
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Repository
A PyTorch implementation of U-Net for aerial imagery semantic segmentation.
Basic Info
Statistics
- Stars: 81
- Watchers: 3
- Forks: 24
- Open Issues: 0
- Releases: 0
Topics
aerial-imagery
cross-entropy-loss
focal-loss
iou-loss
pytorch
segmentation
semantic-segmentation
u-net
unet
Created over 4 years ago
· Last pushed over 4 years ago
Metadata Files
Readme
License
README.md
U-Net for Semantic Segmentation on Unbalanced Aerial Imagery
Note: this repository is still developing but the colab notebook is complete for training and evaluations.
Read the article at Towards data science
``` UNet-AerialSegmentation ├── dataloader.py ├── losses.py ├── model.py ├── train.py └── inference.py
```
Training
!python train.py --num_epochs 2 --batch 2 --loss focalloss
Owner
- Name: Amirhossein Heydarian Ardakani
- Login: arbit3rr
- Kind: user
- Website: https://scholar.google.com/citations?user=5U9fGhYAAAAJ&hl=en
- Repositories: 13
- Profile: https://github.com/arbit3rr
GitHub Events
Total
- Watch event: 4
- Fork event: 2
Last Year
- Watch event: 4
- Fork event: 2