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

ultralytics 8.0.141 create new SettingsManager (#3790)

Browse source
This commit is contained in:
Glenn Jocher 2023-07-23 16:03:34 +02:00 • committed by GitHub
parent 42afe772d5
commit 20f5efd40a
No known key found for this signature in database
GPG key ID: 4AEE18F83AFDEB23
215 changed files with 917 additions and 749 deletions
Download patch file Download diff file Expand all files Collapse all files

6
docs/datasets/classify/fashion-mnist.md
View file

@ -51,10 +51,10 @@ To train a CNN model on the Fashion-MNIST dataset for 100 epochs with an image s
```python
from ultralytics import YOLO
# Load a model
model = YOLO('yolov8n-cls.pt') # load a pretrained model (recommended for training)
# Train the model
model.train(data='fashion-mnist', epochs=100, imgsz=28)
```
@ -76,4 +76,4 @@ The example showcases the variety and complexity of the images in the Fashion-MN
## Acknowledgments
If you use the Fashion-MNIST dataset in your research or development work, please acknowledge the dataset by linking to the [GitHub repository](https://github.com/zalandoresearch/fashion-mnist). This dataset was made available by Zalando Research.
If you use the Fashion-MNIST dataset in your research or development work, please acknowledge the dataset by linking to the [GitHub repository](https://github.com/zalandoresearch/fashion-mnist). This dataset was made available by Zalando Research.