ultralytics 8.2.44 Increase Predict dataloader robustness (#14005)
Co-authored-by: Glenn Jocher <glenn.jocher@ultralytics.com> Co-authored-by: UltralyticsAssistant <web@ultralytics.com>
This commit is contained in:
parent
5332f52f1e
commit
8136f66bfc
4 changed files with 6 additions and 8 deletions
|
|
@ -172,7 +172,6 @@ For training YOLOv10 on a custom dataset:
|
|||
yolo predict model=yolov10n.yaml source=path/to/bus.jpg
|
||||
```
|
||||
|
||||
|
||||
## Supported Tasks and Modes
|
||||
|
||||
The YOLOv10 models series offers a range of models, each optimized for high-performance [Object Detection](../tasks/detect.md). These models cater to varying computational needs and accuracy requirements, making them versatile for a wide array of applications.
|
||||
|
|
|
|||
Loading…
Add table
Add a link
Reference in a new issue