Image Segmentation
Transformers
Safetensors
remote-sensing
earth-observation
open-vocabulary
clip
sam3
semantic-segmentation
Instructions to use BiliSakura/SegEarth-OV with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use BiliSakura/SegEarth-OV with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-segmentation", model="BiliSakura/SegEarth-OV")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("BiliSakura/SegEarth-OV", dtype="auto") - Notebooks
- Google Colab
- Kaggle
Update all files for SegEarth-OV
Browse files- OV/configs/cls_iSAID.txt +16 -0
OV/configs/cls_iSAID.txt
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background
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ship
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store tank
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baseball diamond
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tennis court
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basketball court
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ground track field
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bridge
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large vehicle
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small vehicle
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helicopter
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swimming pool
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roundabout
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soccer ball field
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plane
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harbor
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