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

Update to lowercase MkDocs admonitions (#15990)

Browse source 
Co-authored-by: UltralyticsAssistant <web@ultralytics.com>
Co-authored-by: Glenn Jocher <glenn.jocher@ultralytics.com>
This commit is contained in:
MatthewNoyce 2024-09-06 16:33:26 +01:00 • committed by GitHub
parent ce24c7273e
commit c2b647a768
No known key found for this signature in database
GPG key ID: B5690EEEBB952194
133 changed files with 529 additions and 521 deletions
Download patch file Download diff file Expand all files Collapse all files

8
docs/en/datasets/segment/coco8-seg.md
View file

@ -16,7 +16,7 @@ This dataset is intended for use with Ultralytics [HUB](https://hub.ultralytics.
A YAML (Yet Another Markup Language) file is used to define the dataset configuration. It contains information about the dataset's paths, classes, and other relevant information. In the case of the COCO8-Seg dataset, the `coco8-seg.yaml` file is maintained at [https://github.com/ultralytics/ultralytics/blob/main/ultralytics/cfg/datasets/coco8-seg.yaml](https://github.com/ultralytics/ultralytics/blob/main/ultralytics/cfg/datasets/coco8-seg.yaml).
!!! Example "ultralytics/cfg/datasets/coco8-seg.yaml"
!!! example "ultralytics/cfg/datasets/coco8-seg.yaml"
```yaml
--8<-- "ultralytics/cfg/datasets/coco8-seg.yaml"
@ -26,7 +26,7 @@ A YAML (Yet Another Markup Language) file is used to define the dataset configur
To train a YOLOv8n-seg model on the COCO8-Seg dataset for 100 epochs with an image size of 640, you can use the following code snippets. For a comprehensive list of available arguments, refer to the model [Training](../../modes/train.md) page.
!!! Example "Train Example"
!!! example "Train Example"
=== "Python"
@ -61,7 +61,7 @@ The example showcases the variety and complexity of the images in the COCO8-Seg
If you use the COCO dataset in your research or development work, please cite the following paper:
!!! Quote ""
!!! quote ""
=== "BibTeX"
@ -88,7 +88,7 @@ The **COCO8-Seg dataset** is a compact instance segmentation dataset by Ultralyt
To train a **YOLOv8n-seg** model on the COCO8-Seg dataset for 100 epochs with an image size of 640, you can use Python or CLI commands. Here's a quick example:
!!! Example "Train Example"
!!! example "Train Example"
=== "Python"