Object Detection
ultralytics
TensorBoard
PyTorch
v8
ultralyticsplus
yolov8
yolo
vision
awesome-yolov8-models
Eval Results (legacy)
Instructions to use keremberke/yolov8s-valorant-detection with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- ultralytics
How to use keremberke/yolov8s-valorant-detection with ultralytics:
from ultralytics import YOLOvv8 model = YOLOvv8.from_pretrained("keremberke/yolov8s-valorant-detection") source = 'http://images.cocodataset.org/val2017/000000039769.jpg' model.predict(source=source, save=True) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- cc069df80b325e080bcf5425fd6b7bd24d5196b90a699a3a3c47f640ccd344a7
- Size of remote file:
- 22.5 MB
- SHA256:
- 3a82642e1829478036e603546b036497140d714cc1c7f7c96982809375f5f3af
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