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

10
docs/en/datasets/detect/sku-110k.md
View file

@ -43,7 +43,7 @@ The SKU-110k dataset is widely used for training and evaluating deep learning mo
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. For the case of the SKU-110K dataset, the `SKU-110K.yaml` file is maintained at [https://github.com/ultralytics/ultralytics/blob/main/ultralytics/cfg/datasets/SKU-110K.yaml](https://github.com/ultralytics/ultralytics/blob/main/ultralytics/cfg/datasets/SKU-110K.yaml).
!!! Example "ultralytics/cfg/datasets/SKU-110K.yaml"
!!! example "ultralytics/cfg/datasets/SKU-110K.yaml"
```yaml
--8<-- "ultralytics/cfg/datasets/SKU-110K.yaml"
@ -53,7 +53,7 @@ A YAML (Yet Another Markup Language) file is used to define the dataset configur
To train a YOLOv8n model on the SKU-110K 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"
@ -88,7 +88,7 @@ The example showcases the variety and complexity of the data in the SKU-110k dat
If you use the SKU-110k dataset in your research or development work, please cite the following paper:
!!! Quote ""
!!! quote ""
=== "BibTeX"
@ -113,7 +113,7 @@ The SKU-110k dataset consists of densely packed retail shelf images designed to
Training a YOLOv8 model on the SKU-110k dataset is straightforward. Here's an example to train a YOLOv8n model for 100 epochs with an image size of 640:
!!! Example "Train Example"
!!! example "Train Example"
=== "Python"
@ -165,7 +165,7 @@ These features make the SKU-110k dataset particularly valuable for training and
If you use the SKU-110k dataset in your research or development work, please cite the following paper:
!!! Quote ""
!!! quote ""
=== "BibTeX"