Fix model parameter in Pose, Segment dataset train examples (#14505)
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5 changed files with 5 additions and 5 deletions
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@ -71,7 +71,7 @@ To train a YOLOv8n-pose model on the COCO-Pose dataset for 100 epochs with an im
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```bash
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# Start training from a pretrained *.pt model
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yolo detect train data=coco-pose.yaml model=yolov8n.pt epochs=100 imgsz=640
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yolo detect train data=coco-pose.yaml model=yolov8n-pose.pt epochs=100 imgsz=640
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```
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## Sample Images and Annotations
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@ -44,7 +44,7 @@ To train a YOLOv8n-pose model on the COCO8-Pose dataset for 100 epochs with an i
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```bash
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# Start training from a pretrained *.pt model
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yolo detect train data=coco8-pose.yaml model=yolov8n.pt epochs=100 imgsz=640
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yolo detect train data=coco8-pose.yaml model=yolov8n-pose.pt epochs=100 imgsz=640
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```
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## Sample Images and Annotations
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@ -57,7 +57,7 @@ To train a YOLOv8n-pose model on the Tiger-Pose dataset for 100 epochs with an i
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```bash
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# Start training from a pretrained *.pt model
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yolo task=pose mode=train data=tiger-pose.yaml model=yolov8n.pt epochs=100 imgsz=640
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yolo task=pose mode=train data=tiger-pose.yaml model=yolov8n-pose.pt epochs=100 imgsz=640
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```
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## Sample Images and Annotations
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@ -69,7 +69,7 @@ To train a YOLOv8n-seg model on the COCO-Seg dataset for 100 epochs with an imag
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```bash
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# Start training from a pretrained *.pt model
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yolo detect train data=coco-seg.yaml model=yolov8n.pt epochs=100 imgsz=640
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yolo detect train data=coco-seg.yaml model=yolov8n-seg.pt epochs=100 imgsz=640
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```
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## Sample Images and Annotations
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@ -44,7 +44,7 @@ To train a YOLOv8n-seg model on the COCO8-Seg dataset for 100 epochs with an ima
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```bash
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# Start training from a pretrained *.pt model
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yolo detect train data=coco8-seg.yaml model=yolov8n.pt epochs=100 imgsz=640
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yolo detect train data=coco8-seg.yaml model=yolov8n-seg.pt epochs=100 imgsz=640
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```
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## Sample Images and Annotations
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