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

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Glenn Jocher 2023-08-10 00:55:36 +02:00 • committed by GitHub
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6
docs/datasets/classify/imagenette.md
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@ -40,7 +40,7 @@ To train a model on the ImageNette dataset for 100 epochs with a standard image
model = YOLO('yolov8n-cls.pt') # load a pretrained model (recommended for training)
# Train the model
model.train(data='imagenette', epochs=100, imgsz=224)
results = model.train(data='imagenette', epochs=100, imgsz=224)
```
=== "CLI"
@ -75,7 +75,7 @@ To use these datasets, simply replace 'imagenette' with 'imagenette160' or 'imag
model = YOLO('yolov8n-cls.pt') # load a pretrained model (recommended for training)
# Train the model with ImageNette160
model.train(data='imagenette160', epochs=100, imgsz=160)
results = model.train(data='imagenette160', epochs=100, imgsz=160)
```
=== "CLI"
@ -96,7 +96,7 @@ To use these datasets, simply replace 'imagenette' with 'imagenette160' or 'imag
model = YOLO('yolov8n-cls.pt') # load a pretrained model (recommended for training)
# Train the model with ImageNette320
model.train(data='imagenette320', epochs=100, imgsz=320)
results = model.train(data='imagenette320', epochs=100, imgsz=320)
```
=== "CLI"