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Add FAQs to Docs Datasets and Help sections (#14211)

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Signed-off-by: Glenn Jocher <glenn.jocher@ultralytics.com>
Co-authored-by: UltralyticsAssistant <web@ultralytics.com>
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Glenn Jocher 2024-07-04 20:42:31 +02:00 • committed by GitHub
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docs/en/tasks/obb.md
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@ -83,6 +83,7 @@ Train YOLOv8n-obb on the `dota8.yaml` dataset for 100 epochs at image size 640.
# Train the model
results = model.train(data="dota8.yaml", epochs=100, imgsz=640)
```
=== "CLI"
```bash
@ -123,6 +124,7 @@ retains its training `data` and arguments as model attributes.
metrics.box.map75 # map75(B)
metrics.box.maps # a list contains map50-95(B) of each category
```
=== "CLI"
```bash
@ -148,6 +150,7 @@ Use a trained YOLOv8n-obb model to run predictions on images.
# Predict with the model
results = model("https://ultralytics.com/images/bus.jpg") # predict on an image
```
=== "CLI"
```bash
@ -175,6 +178,7 @@ Export a YOLOv8n-obb model to a different format like ONNX, CoreML, etc.
# Export the model
model.export(format="onnx")
```
=== "CLI"
```bash