HongChuang/ultralytics-ascend
1
0
Fork 0
Code Issues Pull requests Projects Releases Packages Wiki Activity Actions 3

Add YOLO publication notice in Docs (#17095)

Browse source 
Co-authored-by: UltralyticsAssistant <web@ultralytics.com>
Co-authored-by: Glenn Jocher <glenn.jocher@ultralytics.com>
This commit is contained in:
Muhammad Rizwan Munawar 2024-10-22 22:50:08 +05:00 • committed by GitHub
parent 357bd373ba
commit 6ebbe17bd8
No known key found for this signature in database
GPG key ID: B5690EEEBB952194
3 changed files with 14 additions and 2 deletions
Download patch file Download diff file Expand all files Collapse all files

4
docs/en/models/yolov8.md
View file

@ -6,6 +6,10 @@ keywords: YOLOv8, real-time object detection, YOLO series, Ultralytics, computer
# Ultralytics YOLOv8
!!! tip "Ultralytics YOLOv8 Publication"
Ultralytics has not published a formal research paper for YOLOv8 due to the rapidly evolving nature of the models. We focus on advancing the technology and making it easier to use, rather than producing static documentation. For the most up-to-date information on YOLO architecture, features, and usage, please refer to our [GitHub repository](https://github.com/ultralytics/ultralytics) and [documentation](https://docs.ultralytics.com).
## Overview
YOLOv8 is the latest iteration in the YOLO series of real-time object detectors, offering cutting-edge performance in terms of accuracy and speed. Building upon the advancements of previous YOLO versions, YOLOv8 introduces new features and optimizations that make it an ideal choice for various [object detection](https://www.ultralytics.com/glossary/object-detection) tasks in a wide range of applications.