Object Detection
ultralytics
pose-estimation
sar
synthetic-aperture-radar
remote-sensing
earth-observation
vessel-detection
dark-vessel-detection
yolo
sentinel-1
Instructions to use opensar-insight/vessel-detection-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- ultralytics
How to use opensar-insight/vessel-detection-model with ultralytics:
from huggingface_hub import hf_hub_download from ultralytics import YOLO # pick the weights file from this repo's "Files and versions" tab weights = hf_hub_download("opensar-insight/vessel-detection-model", "<weights>.pt") model = YOLO(weights) source = 'http://images.cocodataset.org/val2017/000000039769.jpg' model.predict(source=source, save=True) - Notebooks
- Google Colab
- Kaggle
Commit History
-
Update README.md
Verified signatured585f64
-
Move folder to dataset repository
Verified signatureb2f51e8 -
Move folder to dataset repository
Verified signature3847ce9 -
Move folder to dataset repository
Verified signature0e871d3 -
Upload val
Verified signature7efee49 -
Upload train
Verified signature9929d13 -
Upload test
Verified signature5a0f819 -
Uploaded unrestricted and lightweight vessel detection models
Verified signatureb14a3e9
-
Update README.md
Verified signaturec67a7c6 -
Update README.md
Verified signature4fa6c7d -
initial commit
Verified signature23527c4