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Update YOLO11 Actions and Docs (#16596)

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Signed-off-by: UltralyticsAssistant <web@ultralytics.com>
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Ultralytics Assistant 2024-10-01 16:58:12 +02:00 • committed by GitHub
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docs/en/datasets/detect/roboflow-100.md
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@ -67,7 +67,7 @@ Dataset benchmarking evaluates machine learning model performance on specific da
if path.exists():
# Fix YAML file and run training
benchmark.fix_yaml(str(path))
os.system(f"yolo detect train data={path} model=yolov8s.pt epochs=1 batch=16")
os.system(f"yolo detect train data={path} model=yolo11s.pt epochs=1 batch=16")
# Run validation and evaluate
os.system(f"yolo detect val data={path} model=runs/detect/train/weights/best.pt > {val_log_file} 2>&1")
@ -165,7 +165,7 @@ To use the Roboflow 100 dataset for benchmarking, you can implement the RF100Ben
if path.exists():
# Fix YAML file and run training
benchmark.fix_yaml(str(path))
os.system(f"yolo detect train data={path} model=yolov8s.pt epochs=1 batch=16")
os.system(f"yolo detect train data={path} model=yolo11n.pt epochs=1 batch=16")
# Run validation and evaluate
os.system(f"yolo detect val data={path} model=runs/detect/train/weights/best.pt > {val_log_file} 2>&1")