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Fix Docs calls to model.benchmark() (#18391)

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Signed-off-by: UltralyticsAssistant <web@ultralytics.com>
Signed-off-by: Kishan Pankajbhai Pipariya <39761387+KishanPipariya@users.noreply.github.com>
Co-authored-by: UltralyticsAssistant <web@ultralytics.com>
Co-authored-by: Kishan Pankajbhai Pipariya <39761387+KishanPipariya@users.noreply.github.com>
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Glenn Jocher 2024-12-25 14:11:42 +01:00 • committed by GitHub
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docs/en/integrations/openvino.md
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@ -352,7 +352,7 @@ To reproduce the Ultralytics benchmarks above on all export [formats](../modes/e
model = YOLO("yolov8n.pt")
# Benchmark YOLOv8n speed and accuracy on the COCO8 dataset for all export formats
results = model.benchmarks(data="coco8.yaml")
results = model.benchmark(data="coco8.yaml")
```
=== "CLI"
@ -466,7 +466,7 @@ Yes, you can benchmark YOLOv8 models in various formats including PyTorch, Torch
model = YOLO("yolov8n.pt")
# Benchmark YOLOv8n speed and [accuracy](https://www.ultralytics.com/glossary/accuracy) on the COCO8 dataset for all export formats
results = model.benchmarks(data="coco8.yaml")
results = model.benchmark(data="coco8.yaml")
```
=== "CLI"