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ultralytics 8.0.151 add DOTAv2.yaml for OBB training (#4258)

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Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
Co-authored-by: Kayzwer <68285002+Kayzwer@users.noreply.github.com>
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Glenn Jocher
2023-08-10 00:55:36 +02:00
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docs/datasets/classify/imagewoof.md
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@ -37,7 +37,7 @@ To train a CNN model on the ImageWoof dataset for 100 epochs with an image size
model = YOLO('yolov8n-cls.pt') # load a pretrained model (recommended for training)
# Train the model
model.train(data='imagewoof', epochs=100, imgsz=224)
results = model.train(data='imagewoof', epochs=100, imgsz=224)
```
=== "CLI"
@ -79,6 +79,6 @@ The example showcases the subtle differences and similarities among the differen
## Citations and Acknowledgments
If you use the ImageWoof dataset in your research or development work, please make sure to acknowledge the creators of the dataset by linking to the [official dataset repository](https://github.com/fastai/imagenette). As of my knowledge cutoff in September 2021, there is no official publication specifically about ImageWoof for citation.
If you use the ImageWoof dataset in your research or development work, please make sure to acknowledge the creators of the dataset by linking to the [official dataset repository](https://github.com/fastai/imagenette).
We would like to acknowledge the FastAI team for creating and maintaining the ImageWoof dataset as a valuable resource for the machine learning and computer vision research community. For more information about the ImageWoof dataset, visit the [ImageWoof dataset repository](https://github.com/fastai/imagenette).