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
Commit ·
db63d1b
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Parent(s): f07caab
add ultralytics model card
Browse files
README.md
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metrics:
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- type: precision # since mAP@0.5 is not available on hf.co/metrics
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value: 0.
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name: mAP@0.5(box)
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metrics:
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- type: precision # since mAP@0.5 is not available on hf.co/metrics
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value: 0.96466 # min: 0.0 - max: 1.0
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name: mAP@0.5(box)
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