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/caltech256.md
View file

@ -34,10 +34,10 @@ To train a YOLO model on the Caltech-256 dataset for 100 epochs, you can use the
```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='caltech256', epochs=100, imgsz=416)
```
@ -71,4 +71,4 @@ If you use the Caltech-256 dataset in your research or development work, please
We would like to acknowledge Gregory Griffin, Alex Holub, and Pietro Perona for creating and maintaining the Caltech-256 dataset as a valuable resource for the machine learning and computer vision research community. For more information about the
Caltech-256 dataset and its creators, visit the [Caltech-256 dataset website](https://data.caltech.edu/records/nyy15-4j048).
Caltech-256 dataset and its creators, visit the [Caltech-256 dataset website](https://data.caltech.edu/records/nyy15-4j048).