Instructions to use datasidahmed/YOLOV8 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- ultralytics
How to use datasidahmed/YOLOV8 with ultralytics:
from huggingface_hub import hf_hub_download from ultralytics import YOLO # pick the weights file from this repo's "Files and versions" tab weights = hf_hub_download("datasidahmed/YOLOV8", "<weights>.pt") model = YOLO(weights) source = 'http://images.cocodataset.org/val2017/000000039769.jpg' model.predict(source=source, save=True) - Notebooks
- Google Colab
- Kaggle
Commit History
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Add ONNX export (imgsz=320) for lightweight CPU inference
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Add YOLOv8n military detection weights (best.pt)
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Add metrics summary JSON
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Add professional model card README
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initial commit
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