ultralytics 8.0.97 confusion matrix, windows, docs updates (#2511)
Co-authored-by: Yonghye Kwon <developer.0hye@gmail.com> Co-authored-by: Dowon <ks2515@naver.com> Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com> Co-authored-by: Laughing <61612323+Laughing-q@users.noreply.github.com>
This commit is contained in:
parent
6ee3a9a74b
commit
d1107ca4cb
138 changed files with 744 additions and 351 deletions
|
|
@ -1,5 +1,6 @@
|
|||
---
|
||||
comments: true
|
||||
description: Learn how to use YOLOv8, an object detection model pre-trained with COCO and about the different YOLOv8 models and how to train and export them.
|
||||
---
|
||||
|
||||
Object detection is a task that involves identifying the location and class of objects in an image or video stream.
|
||||
|
|
@ -166,4 +167,4 @@ Available YOLOv8 export formats are in the table below. You can predict or valid
|
|||
| [TF.js](https://www.tensorflow.org/js) | `tfjs` | `yolov8n_web_model/` | ✅ | `imgsz` |
|
||||
| [PaddlePaddle](https://github.com/PaddlePaddle) | `paddle` | `yolov8n_paddle_model/` | ✅ | `imgsz` |
|
||||
|
||||
See full `export` details in the [Export](https://docs.ultralytics.com/modes/export/) page.
|
||||
See full `export` details in the [Export](https://docs.ultralytics.com/modes/export/) page.
|
||||
Loading…
Add table
Add a link
Reference in a new issue