Object Detection
ultralytics
PyTorch
English
yolo
yolov11
tennis
racket
sports
computer-vision
courtside
Eval Results (legacy)
Instructions to use Davidsv/CourtSide-Computer-Vision-v0.2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- ultralytics
How to use Davidsv/CourtSide-Computer-Vision-v0.2 with ultralytics:
from ultralytics import YOLOvv11 model = YOLOvv11.from_pretrained("Davidsv/CourtSide-Computer-Vision-v0.2") source = 'http://images.cocodataset.org/val2017/000000039769.jpg' model.predict(source=source, save=True) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7a885f4b83de34a69171293ebd31876092f597621aa69053e7de938fe2de7370
- Size of remote file:
- 5.45 MB
- SHA256:
- 4ee842b864d5c4e5baae8239889ed416a29b6550a7a1b2cc2f4774550194e35b
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