Object Detection
ultralytics
TensorBoard
PyTorch
v8
ultralyticsplus
yolov8
yolo
vision
awesome-yolov8-models
Eval Results (legacy)
Instructions to use keremberke/yolov8m-valorant-detection with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- ultralytics
How to use keremberke/yolov8m-valorant-detection with ultralytics:
from ultralytics import YOLOvv8 model = YOLOvv8.from_pretrained("keremberke/yolov8m-valorant-detection") source = 'http://images.cocodataset.org/val2017/000000039769.jpg' model.predict(source=source, save=True) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 034c643f5153a5df2707f59d33d7e503f72660da224a3a9038501e689c22e0fd
- Size of remote file:
- 52 MB
- SHA256:
- db5a2751fdaaac7ef67f80e2642daeead57fbf19a8e0168825b1a8e90927bee9
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