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Update docs metadata (#3781)

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Glenn Jocher 2023-07-17 12:40:04 +02:00 • committed by GitHub
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docs/tasks/detect.md
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---
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.
keywords: object detection, YOLOv8 Detect models, COCO dataset, models, train, predict, export
description: Official documentation for YOLOv8 by Ultralytics. Learn how to train, validate, predict and export models in various formats. Including detailed performance stats.
keywords: YOLOv8, Ultralytics, object detection, pretrained models, training, validation, prediction, export models, COCO, ImageNet, PyTorch, ONNX, CoreML
---
Object detection is a task that involves identifying the location and class of objects in an image or video stream.
@ -169,4 +169,4 @@ Available YOLOv8 export formats are in the table below. You can predict or valid
| [PaddlePaddle](https://github.com/PaddlePaddle) | `paddle` | `yolov8n_paddle_model/` | ✅ | `imgsz` |
| [ncnn](https://github.com/Tencent/ncnn) | `ncnn` | `yolov8n_ncnn_model/` | ✅ | `imgsz`, `half` |
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.