Add Hindi हिन्दी and Arabic العربية Docs translations (#6428)
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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@ -60,7 +60,7 @@ DOTA v2 serves as a benchmark for training and evaluating models specifically ta
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Typically, datasets incorporate a YAML (Yet Another Markup Language) file detailing the dataset's configuration. For DOTA v2, a hypothetical `DOTAv2.yaml` could be used. For accurate paths and configurations, it's vital to consult the dataset's official repository or documentation.
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!!! example "DOTAv2.yaml"
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!!! Example "DOTAv2.yaml"
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```yaml
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--8<-- "ultralytics/cfg/datasets/DOTAv2.yaml"
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@ -70,11 +70,11 @@ Typically, datasets incorporate a YAML (Yet Another Markup Language) file detail
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To train a model on the DOTA v2 dataset, you can utilize the following code snippets. Always refer to your model's documentation for a thorough list of available arguments.
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!!! warning
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!!! Warning
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Please note that all images and associated annotations in the DOTAv2 dataset can be used for academic purposes, but commercial use is prohibited. Your understanding and respect for the dataset creators' wishes are greatly appreciated!
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!!! example "Train Example"
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!!! Example "Train Example"
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=== "Python"
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@ -109,7 +109,7 @@ The dataset's richness offers invaluable insights into object detection challeng
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For those leveraging DOTA v2 in their endeavors, it's pertinent to cite the relevant research papers:
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!!! note ""
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!!! Note ""
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=== "BibTeX"
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@ -32,7 +32,7 @@ An example of a `*.txt` label file for the above image, which contains an object
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To train a model using these OBB formats:
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!!! example ""
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!!! Example ""
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=== "Python"
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@ -69,7 +69,7 @@ For those looking to introduce their own datasets with oriented bounding boxes,
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Transitioning labels from the DOTA dataset format to the YOLO OBB format can be achieved with this script:
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!!! example ""
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!!! Example ""
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=== "Python"
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