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ultralytics 8.0.65 YOLOv8 Pose models (#1347)

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10
docs/tasks/index.md
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@ -2,7 +2,7 @@
YOLOv8 is an AI framework that supports multiple computer vision **tasks**. The framework can be used to
perform [detection](detect.md), [segmentation](segment.md), [classification](classify.md),
and [keypoints](keypoints.md) detection. Each of these tasks has a different objective and use case.
and [pose](pose.md) estimation. Each of these tasks has a different objective and use case.
<img width="1024" src="https://user-images.githubusercontent.com/26833433/212094133-6bb8c21c-3d47-41df-a512-81c5931054ae.png">
@ -29,15 +29,13 @@ images based on their content. It uses a variant of the EfficientNet architectur
[Classification Examples](classify.md){ .md-button .md-button--primary}
<!--
## [Keypoints](keypoints.md)
## [Pose](pose.md)
Keypoints detection is a task that involves detecting specific points in an image or video frame. These points are
Pose/keypoint detection is a task that involves detecting specific points in an image or video frame. These points are
referred to as keypoints and are used to track movement or pose estimation. YOLOv8 can detect keypoints in an image or
video frame with high accuracy and speed.
[Keypoints Examples](keypoints.md){ .md-button .md-button--primary}
-->
[Pose Examples](pose.md){ .md-button .md-button--primary}
## Conclusion