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Fix typos in Tasks in docs so description matches example code (#16825)

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Co-authored-by: Glenn Jocher <glenn.jocher@ultralytics.com>
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Jan Knobloch 2024-10-10 21:54:00 +02:00 • committed by GitHub
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docs/en/tasks/obb.md
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@ -49,7 +49,7 @@ YOLO11 pretrained OBB models are shown here, which are pretrained on the [DOTAv1
## Train
Train YOLO11n-obb on the `dota8.yaml` dataset for 100 [epochs](https://www.ultralytics.com/glossary/epoch) at image size 640. For a full list of available arguments see the [Configuration](../usage/cfg.md) page.
Train YOLO11n-obb on the DOTA8 dataset for 100 [epochs](https://www.ultralytics.com/glossary/epoch) at image size 640. For a full list of available arguments see the [Configuration](../usage/cfg.md) page.
!!! example

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docs/en/tasks/pose.md
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@ -73,7 +73,7 @@ YOLO11 pretrained Pose models are shown here. Detect, Segment and Pose models ar
## Train
Train a YOLO11-pose model on the COCO128-pose dataset.
Train a YOLO11-pose model on the COCO8-pose dataset.
!!! example
@ -110,7 +110,7 @@ YOLO pose dataset format can be found in detail in the [Dataset Guide](../datase
## Val
Validate trained YOLO11n-pose model [accuracy](https://www.ultralytics.com/glossary/accuracy) on the COCO128-pose dataset. No arguments are needed as the `model` retains its training `data` and arguments as model attributes.
Validate trained YOLO11n-pose model [accuracy](https://www.ultralytics.com/glossary/accuracy) on the COCO8-pose dataset. No arguments are needed as the `model` retains its training `data` and arguments as model attributes.
!!! example

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docs/en/tasks/segment.md
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@ -41,7 +41,7 @@ YOLO11 pretrained Segment models are shown here. Detect, Segment and Pose models
## Train
Train YOLO11n-seg on the COCO128-seg dataset for 100 [epochs](https://www.ultralytics.com/glossary/epoch) at image size 640. For a full list of available arguments see the [Configuration](../usage/cfg.md) page.
Train YOLO11n-seg on the COCO8-seg dataset for 100 [epochs](https://www.ultralytics.com/glossary/epoch) at image size 640. For a full list of available arguments see the [Configuration](../usage/cfg.md) page.
!!! example
@ -78,7 +78,7 @@ YOLO segmentation dataset format can be found in detail in the [Dataset Guide](.
## Val
Validate trained YOLO11n-seg model [accuracy](https://www.ultralytics.com/glossary/accuracy) on the COCO128-seg dataset. No arguments are needed as the `model` retains its training `data` and arguments as model attributes.
Validate trained YOLO11n-seg model [accuracy](https://www.ultralytics.com/glossary/accuracy) on the COCO8-seg dataset. No arguments are needed as the `model` retains its training `data` and arguments as model attributes.
!!! example