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

Add Hindi हिन्दी and Arabic العربية Docs translations (#6428)

Browse source 
Signed-off-by: Glenn Jocher <glenn.jocher@ultralytics.com>
Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
This commit is contained in:
Glenn Jocher 2023-11-18 21:51:47 +01:00 • committed by GitHub
parent b6baae584c
commit 02bf8003a8
No known key found for this signature in database
GPG key ID: 4AEE18F83AFDEB23
337 changed files with 6584 additions and 777 deletions
Download patch file Download diff file Expand all files Collapse all files

6
docs/en/datasets/segment/coco.md
View file

@ -31,7 +31,7 @@ COCO-Seg is widely used for training and evaluating deep learning models in inst
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 COCO-Seg dataset, the `coco.yaml` file is maintained at [https://github.com/ultralytics/ultralytics/blob/main/ultralytics/cfg/datasets/coco.yaml](https://github.com/ultralytics/ultralytics/blob/main/ultralytics/cfg/datasets/coco.yaml).
!!! example "ultralytics/cfg/datasets/coco.yaml"
!!! Example "ultralytics/cfg/datasets/coco.yaml"
```yaml
--8<-- "ultralytics/cfg/datasets/coco.yaml"
@ -41,7 +41,7 @@ A YAML (Yet Another Markup Language) file is used to define the dataset configur
To train a YOLOv8n-seg model on the COCO-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"
@ -76,7 +76,7 @@ The example showcases the variety and complexity of the images in the COCO-Seg d
If you use the COCO-Seg dataset in your research or development work, please cite the original COCO paper and acknowledge the extension to COCO-Seg:
!!! note ""
!!! Note ""
=== "BibTeX"