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
| # Configuration | |
| model_name: tennis-racket-yolov11 | |
| framework: ultralytics | |
| architecture: yolov11n | |
| task: object-detection | |