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
File size: 132 Bytes
2c19e48 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:69f3d925b4bbf03b85fb12c36629257d06d9d11b54eb94c5718397dff3e7d992
size 1068782
|