ultralytics 8.0.141 create new SettingsManager (#3790)
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@ -48,10 +48,10 @@ To train a YOLOv8n model on the SKU-110K dataset for 100 epochs with an image si
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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='SKU-110K.yaml', epochs=100, imgsz=640)
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```
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@ -86,4 +86,4 @@ If you use the SKU-110k dataset in your research or development work, please cit
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}
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```
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We would like to acknowledge Eran Goldman et al. for creating and maintaining the SKU-110k dataset as a valuable resource for the computer vision research community. For more information about the SKU-110k dataset and its creators, visit the [SKU-110k dataset GitHub repository](https://github.com/eg4000/SKU110K_CVPR19).
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We would like to acknowledge Eran Goldman et al. for creating and maintaining the SKU-110k dataset as a valuable resource for the computer vision research community. For more information about the SKU-110k dataset and its creators, visit the [SKU-110k dataset GitHub repository](https://github.com/eg4000/SKU110K_CVPR19).
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