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

Update YOLO11 Actions and Docs (#16596)

Browse source 
Signed-off-by: UltralyticsAssistant <web@ultralytics.com>
This commit is contained in:
Ultralytics Assistant 2024-10-01 16:58:12 +02:00 • committed by GitHub
parent 51e93d6111
commit 97f38409fb
No known key found for this signature in database
GPG key ID: B5690EEEBB952194
124 changed files with 1948 additions and 1948 deletions
Download patch file Download diff file Expand all files Collapse all files

16
docs/en/datasets/obb/dota-v2.md
View file

@ -108,8 +108,8 @@ To train a model on the DOTA v1 dataset, you can utilize the following code snip
```python
from ultralytics import YOLO
# Create a new YOLOv8n-OBB model from scratch
model = YOLO("yolov8n-obb.yaml")
# Create a new YOLO11n-OBB model from scratch
model = YOLO("yolo11n-obb.yaml")
# Train the model on the DOTAv1 dataset
results = model.train(data="DOTAv1.yaml", epochs=100, imgsz=1024)
@ -118,8 +118,8 @@ To train a model on the DOTA v1 dataset, you can utilize the following code snip
=== "CLI"
```bash
# Train a new YOLOv8n-OBB model on the DOTAv1 dataset
yolo obb train data=DOTAv1.yaml model=yolov8n-obb.pt epochs=100 imgsz=1024
# Train a new YOLO11n-OBB model on the DOTAv1 dataset
yolo obb train data=DOTAv1.yaml model=yolo11n-obb.pt epochs=100 imgsz=1024
```
## Sample Data and Annotations
@ -176,8 +176,8 @@ To train a model on the DOTA dataset, you can use the following example with Ult
```python
from ultralytics import YOLO
# Create a new YOLOv8n-OBB model from scratch
model = YOLO("yolov8n-obb.yaml")
# Create a new YOLO11n-OBB model from scratch
model = YOLO("yolo11n-obb.yaml")
# Train the model on the DOTAv1 dataset
results = model.train(data="DOTAv1.yaml", epochs=100, imgsz=1024)
@ -186,8 +186,8 @@ To train a model on the DOTA dataset, you can use the following example with Ult
=== "CLI"
```bash
# Train a new YOLOv8n-OBB model on the DOTAv1 dataset
yolo obb train data=DOTAv1.yaml model=yolov8n-obb.pt epochs=100 imgsz=1024
# Train a new YOLO11n-OBB model on the DOTAv1 dataset
yolo obb train data=DOTAv1.yaml model=yolo11n-obb.pt epochs=100 imgsz=1024
```
For more details on how to split and preprocess the DOTA images, refer to the [split DOTA images section](#split-dota-images).