Instructions to use Davidsv/CourtSide-Computer-Vision-v0.1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- ultralytics
How to use Davidsv/CourtSide-Computer-Vision-v0.1 with ultralytics:
from ultralytics import YOLOvv11 model = YOLOvv11.from_pretrained("Davidsv/CourtSide-Computer-Vision-v0.1") source = 'http://images.cocodataset.org/val2017/000000039769.jpg' model.predict(source=source, save=True) - Notebooks
- Google Colab
- Kaggle

- Xet hash:
- b22172aad17f58d36ab664ec14e892f01901542fcf4a874ab4f4896ca9b3f365
- Size of remote file:
- 1 MB
- SHA256:
- f518cfd21af5155656544f70ba51ba29082a39e88f54f6fa2ce47e2624d715f3
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.