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

Fix NEW labeling for more consistency in docs (#16674)

Browse source 
Co-authored-by: UltralyticsAssistant <web@ultralytics.com>
Co-authored-by: Glenn Jocher <glenn.jocher@ultralytics.com>
This commit is contained in:
Jan Knobloch 2024-10-04 17:01:17 +02:00 • committed by GitHub
parent c6c83aef4c
commit 4aaa1b0f0a
No known key found for this signature in database
GPG key ID: B5690EEEBB952194
4 changed files with 8 additions and 8 deletions
Download patch file Download diff file Expand all files Collapse all files

4
docs/en/index.md
View file

@ -58,7 +58,7 @@ Explore the Ultralytics Docs, a comprehensive resource designed to help you unde
- **Predict** new images and videos with YOLO &nbsp; [:octicons-image-16: Predict on Images](modes/predict.md){ .md-button }
- **Train** a new YOLO model on your own custom dataset &nbsp; [:fontawesome-solid-brain: Train a Model](modes/train.md){ .md-button }
- **Tasks** YOLO tasks like segment, classify, pose and track &nbsp; [:material-magnify-expand: Explore Tasks](tasks/index.md){ .md-button }
- **[YOLO11](models/yolo11.md) NEW 🚀**: Ultralytics' latest SOTA models &nbsp; [:material-magnify-expand: Explore new YOLO11 models](models/yolo11.md){ .md-button }
- **[YOLO11](models/yolo11.md) 🚀 NEW**: Ultralytics' latest SOTA models &nbsp; [:material-magnify-expand: Explore new YOLO11 models](models/yolo11.md){ .md-button }
<p align="center">
<br>
@ -84,7 +84,7 @@ Explore the Ultralytics Docs, a comprehensive resource designed to help you unde
- [YOLOv8](https://github.com/ultralytics/ultralytics) released in 2023 by Ultralytics. YOLOv8 introduced new features and improvements for enhanced performance, flexibility, and efficiency, supporting a full range of vision AI tasks,
- [YOLOv9](models/yolov9.md) introduces innovative methods like Programmable Gradient Information (PGI) and the Generalized Efficient Layer Aggregation Network (GELAN).
- [YOLOv10](models/yolov10.md) is created by researchers from [Tsinghua University](https://www.tsinghua.edu.cn/en/) using the [Ultralytics](https://www.ultralytics.com/) [Python package](https://pypi.org/project/ultralytics/). This version provides real-time [object detection](tasks/detect.md) advancements by introducing an End-to-End head that eliminates Non-Maximum Suppression (NMS) requirements.
- **[YOLO11](models/yolo11.md) NEW 🚀**: Ultralytics' latest YOLO models delivering state-of-the-art (SOTA) performance across multiple tasks, including [detection](tasks/detect.md), [segmentation](tasks/segment.md), [pose estimation](tasks/pose.md), [tracking](modes/track.md), and [classification](tasks/classify.md), leverage capabilities across diverse AI applications and domains.
- **[YOLO11](models/yolo11.md) 🚀 NEW**: Ultralytics' latest YOLO models delivering state-of-the-art (SOTA) performance across multiple tasks, including [detection](tasks/detect.md), [segmentation](tasks/segment.md), [pose estimation](tasks/pose.md), [tracking](modes/track.md), and [classification](tasks/classify.md), leverage capabilities across diverse AI applications and domains.
## YOLO Licenses: How is Ultralytics YOLO licensed?