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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/detect.md
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@ -63,6 +63,7 @@ Train YOLOv8n on the COCO8 dataset for 100 epochs at image size 640. For a full
# Train the model
results = model.train(data="coco8.yaml", epochs=100, imgsz=640)
```
=== "CLI"
```bash
@ -102,6 +103,7 @@ Validate trained YOLOv8n model accuracy on the COCO8 dataset. No argument need t
metrics.box.map75 # map75
metrics.box.maps # a list contains map50-95 of each category
```
=== "CLI"
```bash
@ -127,6 +129,7 @@ Use a trained YOLOv8n model to run predictions on images.
# Predict with the model
results = model("https://ultralytics.com/images/bus.jpg") # predict on an image
```
=== "CLI"
```bash
@ -154,6 +157,7 @@ Export a YOLOv8n model to a different format like ONNX, CoreML, etc.
# Export the model
model.export(format="onnx")
```
=== "CLI"
```bash