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:
- 73627fbfa0277747e6a45f89056e6aee55f83c5576716bf6f5ba5ad43c439185
- Size of remote file:
- 1.07 MB
- SHA256:
- 69f3d925b4bbf03b85fb12c36629257d06d9d11b54eb94c5718397dff3e7d992
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