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Add examples showing how to use result for all tasks (#19282)

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Signed-off-by: Mohammed Yasin <32206511+Y-T-G@users.noreply.github.com>
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Mohammed Yasin 2025-02-17 20:52:12 +08:00 • committed by GitHub
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docs/en/tasks/detect.md
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@ -122,6 +122,15 @@ Use a trained YOLO11n model to run predictions on images.
# Predict with the model
results = model("https://ultralytics.com/images/bus.jpg") # predict on an image
# Access the results
for result in results:
xywh = result.boxes.xywh # center-x, center-y, width, height
xywhn = result.boxes.xywhn # normalized
xyxy = result.boxes.xyxy # top-left-x, top-left-y, bottom-right-x, bottom-right-y
xyxyn = result.boxes.xyxyn # normalized
names = [result.names[cls.item()] for cls in result.boxes.cls.int()] # class name of each box
confs = result.boxes.conf # confidence score of each box
```
=== "CLI"