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/detect/african-wildlife.md
View file

@ -35,7 +35,7 @@ This dataset can be applied in various computer vision tasks such as object dete
A YAML (Yet Another Markup Language) file defines the dataset configuration, including paths, classes, and other pertinent details. For the African wildlife dataset, the `african-wildlife.yaml` file is located at [https://github.com/ultralytics/ultralytics/blob/main/ultralytics/cfg/datasets/african-wildlife.yaml](https://github.com/ultralytics/ultralytics/blob/main/ultralytics/cfg/datasets/african-wildlife.yaml).
!!! Example "ultralytics/cfg/datasets/african-wildlife.yaml"
!!! example "ultralytics/cfg/datasets/african-wildlife.yaml"
```yaml
--8<-- "ultralytics/cfg/datasets/african-wildlife.yaml"
@ -45,7 +45,7 @@ A YAML (Yet Another Markup Language) file defines the dataset configuration, inc
To train a YOLOv8n model on the African wildlife dataset for 100 epochs with an image size of 640, use the provided code samples. For a comprehensive list of available parameters, refer to the model's [Training](../../modes/train.md) page.
!!! Example "Train Example"
!!! example "Train Example"
=== "Python"
@ -66,7 +66,7 @@ To train a YOLOv8n model on the African wildlife dataset for 100 epochs with an
yolo detect train data=african-wildlife.yaml model=yolov8n.pt epochs=100 imgsz=640
```
!!! Example "Inference Example"
!!! example "Inference Example"
=== "Python"
@ -111,7 +111,7 @@ The African Wildlife Dataset includes images of four common animal species found
You can train a YOLOv8 model on the African Wildlife Dataset by using the `african-wildlife.yaml` configuration file. Below is an example of how to train the YOLOv8n model for 100 epochs with an image size of 640:
!!! Example
!!! example
=== "Python"