Object Detection
ultralytics
PyTorch
English
yolo
yolov11
tennis
racket
tennis-ball
court-detection
sports
computer-vision
courtside
Eval Results (legacy)
Instructions to use Davidsv/CourtSide-Computer-Vision-v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- ultralytics
How to use Davidsv/CourtSide-Computer-Vision-v1 with ultralytics:
from ultralytics import YOLOvv11 model = YOLOvv11.from_pretrained("Davidsv/CourtSide-Computer-Vision-v1") source = 'http://images.cocodataset.org/val2017/000000039769.jpg' model.predict(source=source, save=True) - Notebooks
- Google Colab
- Kaggle

- Xet hash:
- 7ea2ef63024260dc2059463725a1c6d49a4f8b004669aacf6a875ce795f0ac59
- Size of remote file:
- 4.82 MB
- SHA256:
- 95c370145381418a933631a1ab967723f2bef18e6a45fef889f9b2218774d516
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