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ultralytics 8.0.141 create new SettingsManager (#3790)

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Glenn Jocher 2023-07-23 16:03:34 +02:00 • committed by GitHub
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8
docs/datasets/segment/coco.md
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@ -47,10 +47,10 @@ To train a YOLOv8n-seg model on the COCO-Seg dataset for 100 epochs with an imag
```python
from ultralytics import YOLO
# Load a model
model = YOLO('yolov8n-seg.pt') # load a pretrained model (recommended for training)
# Train the model
model.train(data='coco-seg.yaml', epochs=100, imgsz=640)
```
@ -78,7 +78,7 @@ If you use the COCO-Seg dataset in your research or development work, please cit
```bibtex
@misc{lin2015microsoft,
title={Microsoft COCO: Common Objects in Context},
title={Microsoft COCO: Common Objects in Context},
author={Tsung-Yi Lin and Michael Maire and Serge Belongie and Lubomir Bourdev and Ross Girshick and James Hays and Pietro Perona and Deva Ramanan and C. Lawrence Zitnick and Piotr Dollár},
year={2015},
eprint={1405.0312},
@ -87,4 +87,4 @@ If you use the COCO-Seg dataset in your research or development work, please cit
}
```
We extend our thanks to the COCO Consortium for creating and maintaining this invaluable resource for the computer vision community. For more information about the COCO dataset and its creators, visit the [COCO dataset website](https://cocodataset.org/#home).
We extend our thanks to the COCO Consortium for creating and maintaining this invaluable resource for the computer vision community. For more information about the COCO dataset and its creators, visit the [COCO dataset website](https://cocodataset.org/#home).