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ultralytics 8.0.106 (#2736)

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Glenn Jocher 2023-05-22 13:31:19 +02:00 • committed by GitHub
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docs/datasets/segment/coco8-seg.md
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@ -28,7 +28,7 @@ A YAML (Yet Another Markup Language) file is used to define the dataset configur
## Usage
To train a YOLOv8n model on the COCO8-Seg dataset for 100 epochs with an image size of 640, you can use the following code snippets. For a comprehensive list of available arguments, refer to the model [Training](../../modes/train.md) page.
To train a YOLOv8n-seg model on the COCO8-Seg dataset for 100 epochs with an image size of 640, you can use the following code snippets. For a comprehensive list of available arguments, refer to the model [Training](../../modes/train.md) page.
!!! example "Train Example"
@ -38,7 +38,7 @@ To train a YOLOv8n model on the COCO8-Seg dataset for 100 epochs with an image s
from ultralytics import YOLO
# Load a model
model = YOLO('yolov8n.pt') # load a pretrained model (recommended for training)
model = YOLO('yolov8n-seg.pt') # load a pretrained model (recommended for training)
# Train the model
model.train(data='coco8-seg.yaml', epochs=100, imgsz=640)