ultralytics 8.0.141 create new SettingsManager (#3790)
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@ -50,10 +50,10 @@ To train a model on the xView dataset for 100 epochs with an image size of 640,
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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='xView.yaml', epochs=100, imgsz=640)
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```
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@ -81,7 +81,7 @@ If you use the xView dataset in your research or development work, please cite t
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```bibtex
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@misc{lam2018xview,
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title={xView: Objects in Context in Overhead Imagery},
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title={xView: Objects in Context in Overhead Imagery},
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author={Darius Lam and Richard Kuzma and Kevin McGee and Samuel Dooley and Michael Laielli and Matthew Klaric and Yaroslav Bulatov and Brendan McCord},
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year={2018},
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eprint={1802.07856},
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@ -90,4 +90,4 @@ If you use the xView dataset in your research or development work, please cite t
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}
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```
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We would like to acknowledge the [Defense Innovation Unit](https://www.diu.mil/) (DIU) and the creators of the xView dataset for their valuable contribution to the computer vision research community. For more information about the xView dataset and its creators, visit the [xView dataset website](http://xviewdataset.org/).
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We would like to acknowledge the [Defense Innovation Unit](https://www.diu.mil/) (DIU) and the creators of the xView dataset for their valuable contribution to the computer vision research community. For more information about the xView dataset and its creators, visit the [xView dataset website](http://xviewdataset.org/).
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