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Update https://docs.ultralytics.com/models (#6513)

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Signed-off-by: Glenn Jocher <glenn.jocher@ultralytics.com>
Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
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Glenn Jocher 2023-11-22 20:45:46 +01:00 • committed by GitHub
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2
docs/en/datasets/detect/argoverse.md
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@ -80,7 +80,7 @@ The example showcases the variety and complexity of the data in the Argoverse da
If you use the Argoverse dataset in your research or development work, please cite the following paper:
!!! Note ""
!!! Quote ""
=== "BibTeX"

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docs/en/datasets/detect/coco.md
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@ -76,7 +76,7 @@ The example showcases the variety and complexity of the images in the COCO datas
If you use the COCO dataset in your research or development work, please cite the following paper:
!!! Note ""
!!! Quote ""
=== "BibTeX"

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docs/en/datasets/detect/coco8.md
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@ -62,7 +62,7 @@ The example showcases the variety and complexity of the images in the COCO8 data
If you use the COCO dataset in your research or development work, please cite the following paper:
!!! Note ""
!!! Quote ""
=== "BibTeX"

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docs/en/datasets/detect/globalwheat2020.md
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@ -75,7 +75,7 @@ The example showcases the variety and complexity of the data in the Global Wheat
If you use the Global Wheat Head Dataset in your research or development work, please cite the following paper:
!!! Note ""
!!! Quote ""
=== "BibTeX"

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docs/en/datasets/detect/index.md
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@ -48,7 +48,7 @@ When using the Ultralytics YOLO format, organize your training and validation im
Here's how you can use these formats to train your model:
!!! Example ""
!!! Example
=== "Python"
@ -93,7 +93,7 @@ If you have your own dataset and would like to use it for training detection mod
You can easily convert labels from the popular COCO dataset format to the YOLO format using the following code snippet:
!!! Example ""
!!! Example
=== "Python"

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docs/en/datasets/detect/objects365.md
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@ -75,7 +75,7 @@ The example showcases the variety and complexity of the data in the Objects365 d
If you use the Objects365 dataset in your research or development work, please cite the following paper:
!!! Note ""
!!! Quote ""
=== "BibTeX"

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docs/en/datasets/detect/open-images-v7.md
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@ -94,7 +94,7 @@ Researchers can gain invaluable insights into the array of computer vision chall
For those employing Open Images V7 in their work, it's prudent to cite the relevant papers and acknowledge the creators:
!!! Note ""
!!! Quote ""
=== "BibTeX"

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docs/en/datasets/detect/sku-110k.md
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@ -77,7 +77,7 @@ The example showcases the variety and complexity of the data in the SKU-110k dat
If you use the SKU-110k dataset in your research or development work, please cite the following paper:
!!! Note ""
!!! Quote ""
=== "BibTeX"

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docs/en/datasets/detect/visdrone.md
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@ -73,7 +73,7 @@ The example showcases the variety and complexity of the data in the VisDrone dat
If you use the VisDrone dataset in your research or development work, please cite the following paper:
!!! Note ""
!!! Quote ""
=== "BibTeX"

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docs/en/datasets/detect/voc.md
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@ -77,7 +77,7 @@ The example showcases the variety and complexity of the images in the VOC datase
If you use the VOC dataset in your research or development work, please cite the following paper:
!!! Note ""
!!! Quote ""
=== "BibTeX"

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docs/en/datasets/detect/xview.md
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@ -79,7 +79,7 @@ The example showcases the variety and complexity of the data in the xView datase
If you use the xView dataset in your research or development work, please cite the following paper:
!!! Note ""
!!! Quote ""
=== "BibTeX"