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

Update HUB SDK Docs (#13309)

Browse source 
Signed-off-by: Glenn Jocher <glenn.jocher@ultralytics.com>
Co-authored-by: UltralyticsAssistant <web@ultralytics.com>
This commit is contained in:
Glenn Jocher 2024-06-02 21:39:34 +02:00 • committed by GitHub
parent 064e2fd282
commit 2684bcdc7d
No known key found for this signature in database
GPG key ID: B5690EEEBB952194
307 changed files with 774 additions and 747 deletions
Download patch file Download diff file Expand all files Collapse all files

4
docs/en/models/yolo-world.md
View file

@ -1,7 +1,7 @@
---
comments: true
description: Discover YOLO-World, a YOLOv8-based framework for real-time open-vocabulary object detection in images. It enhances user interaction, boosts computational efficiency, and adapts across various vision tasks.
keywords: YOLO-World, YOLOv8, machine learning, CNN-based framework, object detection, real-time detection, Ultralytics, vision tasks, image processing, industrial applications, user interaction
description: Explore the YOLO-World Model for efficient, real-time open-vocabulary object detection using Ultralytics YOLOv8 advancements. Achieve top performance with minimal computation.
keywords: YOLO-World, Ultralytics, open-vocabulary detection, YOLOv8, real-time object detection, machine learning, computer vision, AI, deep learning, model training
---
# YOLO-World Model