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Signed-off-by: UltralyticsAssistant <web@ultralytics.com>
Co-authored-by: UltralyticsAssistant <web@ultralytics.com>
Co-authored-by: Glenn Jocher <glenn.jocher@ultralytics.com>
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6
docs/en/datasets/detect/index.md
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@ -34,15 +34,15 @@ names:
Labels for this format should be exported to YOLO format with one `*.txt` file per image. If there are no objects in an image, no `*.txt` file is required. The `*.txt` file should be formatted with one row per object in `class x_center y_center width height` format. Box coordinates must be in **normalized xywh** format (from 0 to 1). If your boxes are in pixels, you should divide `x_center` and `width` by image width, and `y_center` and `height` by image height. Class numbers should be zero-indexed (start with 0).
<p align="center"><img width="750" src="https://user-images.githubusercontent.com/26833433/91506361-c7965000-e886-11ea-8291-c72b98c25eec.jpg" alt="Example labelled image"></p>
<p align="center"><img width="750" src="https://github.com/ultralytics/docs/releases/download/0/two-persons-tie.avif" alt="Example labelled image"></p>
The label file corresponding to the above image contains 2 persons (class `0`) and a tie (class `27`):
<p align="center"><img width="428" src="https://user-images.githubusercontent.com/26833433/112467037-d2568c00-8d66-11eb-8796-55402ac0d62f.png" alt="Example label file"></p>
<p align="center"><img width="428" src="https://github.com/ultralytics/docs/releases/download/0/two-persons-tie-1.avif" alt="Example label file"></p>
When using the Ultralytics YOLO format, organize your training and validation images and labels as shown in the [COCO8 dataset](coco8.md) example below.
<p align="center"><img width="800" src="https://github.com/IvorZhu331/ultralytics/assets/26833433/a55ec82d-2bb5-40f9-ac5c-f935e7eb9f07" alt="Example dataset directory structure"></p>
<p align="center"><img width="800" src="https://github.com/ultralytics/docs/releases/download/0/two-persons-tie-2.avif" alt="Example dataset directory structure"></p>
## Usage