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Update to lowercase MkDocs admonitions (#15990)

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Co-authored-by: UltralyticsAssistant <web@ultralytics.com>
Co-authored-by: Glenn Jocher <glenn.jocher@ultralytics.com>
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MatthewNoyce 2024-09-06 16:33:26 +01:00 • committed by GitHub
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docs/en/guides/instance-segmentation-and-tracking.md
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@ -34,7 +34,7 @@ There are two types of instance segmentation tracking available in the Ultralyti
| ![Ultralytics Instance Segmentation](https://github.com/ultralytics/docs/releases/download/0/ultralytics-instance-segmentation.avif) | ![Ultralytics Instance Segmentation with Object Tracking](https://github.com/ultralytics/docs/releases/download/0/ultralytics-instance-segmentation-object-tracking.avif) |
| Ultralytics Instance Segmentation 😍 | Ultralytics Instance Segmentation with Object Tracking 🔥 |
!!! Example "Instance Segmentation and Tracking"
!!! example "Instance Segmentation and Tracking"
=== "Instance Segmentation"
@ -146,7 +146,7 @@ For any inquiries, feel free to post your questions in the [Ultralytics Issue Se
To perform instance segmentation using Ultralytics YOLOv8, initialize the YOLO model with a segmentation version of YOLOv8 and process video frames through it. Here's a simplified code example:
!!! Example
!!! example
=== "Python"
@ -200,7 +200,7 @@ Ultralytics YOLOv8 offers real-time performance, superior accuracy, and ease of
To implement object tracking, use the `model.track` method and ensure that each object's ID is consistently assigned across frames. Below is a simple example:
!!! Example
!!! example
=== "Python"