ultralytics 8.0.141 create new SettingsManager (#3790)
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@ -47,10 +47,10 @@ To train a YOLOv8n model on the VOC dataset for 100 epochs with an image size of
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```python
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from ultralytics import YOLO
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# Load a model
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model = YOLO('yolov8n.pt') # load a pretrained model (recommended for training)
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# Train the model
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model.train(data='VOC.yaml', epochs=100, imgsz=640)
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```
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@ -79,7 +79,7 @@ If you use the VOC dataset in your research or development work, please cite the
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```bibtex
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@misc{everingham2010pascal,
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title={The PASCAL Visual Object Classes (VOC) Challenge},
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title={The PASCAL Visual Object Classes (VOC) Challenge},
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author={Mark Everingham and Luc Van Gool and Christopher K. I. Williams and John Winn and Andrew Zisserman},
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year={2010},
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eprint={0909.5206},
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@ -88,4 +88,4 @@ If you use the VOC dataset in your research or development work, please cite the
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}
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```
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We would like to acknowledge the PASCAL VOC Consortium for creating and maintaining this valuable resource for the computer vision community. For more information about the VOC dataset and its creators, visit the [PASCAL VOC dataset website](http://host.robots.ox.ac.uk/pascal/VOC/).
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We would like to acknowledge the PASCAL VOC Consortium for creating and maintaining this valuable resource for the computer vision community. For more information about the VOC dataset and its creators, visit the [PASCAL VOC dataset website](http://host.robots.ox.ac.uk/pascal/VOC/).
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