ultralytics 8.0.97 confusion matrix, windows, docs updates (#2511)

Co-authored-by: Yonghye Kwon <developer.0hye@gmail.com>
Co-authored-by: Dowon <ks2515@naver.com>
Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
Co-authored-by: Laughing <61612323+Laughing-q@users.noreply.github.com>
This commit is contained in:
Glenn Jocher 2023-05-09 21:20:34 +02:00 committed by GitHub
parent 6ee3a9a74b
commit d1107ca4cb
No known key found for this signature in database
GPG key ID: 4AEE18F83AFDEB23
138 changed files with 744 additions and 351 deletions

View file

@ -1,5 +1,6 @@
---
comments: true
description: Learn how Ultralytics YOLOv8 AI framework supports detection, segmentation, classification, and pose/keypoint estimation tasks.
---
# Ultralytics YOLOv8 Tasks
@ -35,7 +36,7 @@ images based on their content. It uses a variant of the EfficientNet architectur
## [Pose](pose.md)
Pose/keypoint 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.