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Docs Prettier reformat (#13483)

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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 2024-06-10 12:59:01 +02:00 • committed by GitHub
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docs/en/guides/object-cropping.md
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@ -18,10 +18,10 @@ Object cropping with [Ultralytics YOLOv8](https://github.com/ultralytics/ultraly
## Visuals
| Airport Luggage |
|:----------------------------------------------------------------------------------------------------------------------------------------------------------------------------:|
| Airport Luggage |
| :--------------------------------------------------------------------------------------------------------------------------------------------------------------------------: |
| ![Conveyor Belt at Airport Suitcases Cropping using Ultralytics YOLOv8](https://github.com/RizwanMunawar/RizwanMunawar/assets/62513924/648f46be-f233-4307-a8e5-046eea38d2e4) |
| Suitcases Cropping at airport conveyor belt using Ultralytics YOLOv8 |
| Suitcases Cropping at airport conveyor belt using Ultralytics YOLOv8 |
!!! Example "Object Cropping using YOLOv8 Example"
@ -84,7 +84,7 @@ Object cropping with [Ultralytics YOLOv8](https://github.com/ultralytics/ultraly
### Arguments `model.predict`
| Argument | Type | Default | Description |
|-----------------|----------------|------------------------|--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
| --------------- | -------------- | ---------------------- | ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------ |
| `source` | `str` | `'ultralytics/assets'` | Specifies the data source for inference. Can be an image path, video file, directory, URL, or device ID for live feeds. Supports a wide range of formats and sources, enabling flexible application across different types of input. |
| `conf` | `float` | `0.25` | Sets the minimum confidence threshold for detections. Objects detected with confidence below this threshold will be disregarded. Adjusting this value can help reduce false positives. |
| `iou` | `float` | `0.7` | Intersection Over Union (IoU) threshold for Non-Maximum Suppression (NMS). Lower values result in fewer detections by eliminating overlapping boxes, useful for reducing duplicates. |