Feature Extraction
Transformers
Safetensors
swin
image-feature-extraction
remote-sensing
computer-vision
swin-transformer
building-extraction
change-detection
foundation-model
Instructions to use BiliSakura/RSBuilding-Swin-T with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use BiliSakura/RSBuilding-Swin-T with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="BiliSakura/RSBuilding-Swin-T")# Load model directly from transformers import AutoImageProcessor, AutoModel processor = AutoImageProcessor.from_pretrained("BiliSakura/RSBuilding-Swin-T") model = AutoModel.from_pretrained("BiliSakura/RSBuilding-Swin-T") - Notebooks
- Google Colab
- Kaggle
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README.md
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license:
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tags:
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- remote-sensing
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- computer-vision
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doi = {10.1109/TGRS.2024.3439395},
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keywords = {Building extraction,Buildings,change detection (CD),Data mining,Feature extraction,federated training,foundation model,Image segmentation,Remote sensing,remote sensing images,Task analysis,Training}
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}
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```
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---
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license: apache-2.0
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tags:
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- remote-sensing
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- computer-vision
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doi = {10.1109/TGRS.2024.3439395},
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keywords = {Building extraction,Buildings,change detection (CD),Data mining,Feature extraction,federated training,foundation model,Image segmentation,Remote sensing,remote sensing images,Task analysis,Training}
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}
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```
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