Improve headers and comments in TOML/YAML files (#18698)

Co-authored-by: Glenn Jocher <glenn.jocher@ultralytics.com>
Co-authored-by: UltralyticsAssistant <web@ultralytics.com>

ultralytics/cfg/datasets/Argoverse.yaml

@@ -1,4 +1,5 @@
-# Ultralytics YOLO 🚀, AGPL-3.0 license
+# Ultralytics 🚀 AGPL-3.0 License - https://ultralytics.com/license
+
 # Argoverse-HD dataset (ring-front-center camera) https://www.cs.cmu.edu/~mengtial/proj/streaming/ by Argo AI
 # Documentation: https://docs.ultralytics.com/datasets/detect/argoverse/
 # Example usage: yolo train data=Argoverse.yaml

ultralytics/cfg/datasets/DOTAv1.5.yaml

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-# Ultralytics YOLO 🚀, AGPL-3.0 license
+# Ultralytics 🚀 AGPL-3.0 License - https://ultralytics.com/license
+
 # DOTA 1.5 dataset https://captain-whu.github.io/DOTA/index.html for object detection in aerial images by Wuhan University
 # Documentation: https://docs.ultralytics.com/datasets/obb/dota-v2/
 # Example usage: yolo train model=yolov8n-obb.pt data=DOTAv1.5.yaml

ultralytics/cfg/datasets/DOTAv1.yaml

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-# Ultralytics YOLO 🚀, AGPL-3.0 license
+# Ultralytics 🚀 AGPL-3.0 License - https://ultralytics.com/license
+
 # DOTA 1.0 dataset https://captain-whu.github.io/DOTA/index.html for object detection in aerial images by Wuhan University
 # Documentation: https://docs.ultralytics.com/datasets/obb/dota-v2/
 # Example usage: yolo train model=yolov8n-obb.pt data=DOTAv1.yaml

ultralytics/cfg/datasets/GlobalWheat2020.yaml

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-# Ultralytics YOLO 🚀, AGPL-3.0 license
+# Ultralytics 🚀 AGPL-3.0 License - https://ultralytics.com/license
+
 # Global Wheat 2020 dataset https://www.global-wheat.com/ by University of Saskatchewan
 # Documentation: https://docs.ultralytics.com/datasets/detect/globalwheat2020/
 # Example usage: yolo train data=GlobalWheat2020.yaml

ultralytics/cfg/datasets/ImageNet.yaml

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-# Ultralytics YOLO 🚀, AGPL-3.0 license
+# Ultralytics 🚀 AGPL-3.0 License - https://ultralytics.com/license
+
 # ImageNet-1k dataset https://www.image-net.org/index.php by Stanford University
 # Simplified class names from https://github.com/anishathalye/imagenet-simple-labels
 # Documentation: https://docs.ultralytics.com/datasets/classify/imagenet/

ultralytics/cfg/datasets/Objects365.yaml

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-# Ultralytics YOLO 🚀, AGPL-3.0 license
+# Ultralytics 🚀 AGPL-3.0 License - https://ultralytics.com/license
+
 # Objects365 dataset https://www.objects365.org/ by Megvii
 # Documentation: https://docs.ultralytics.com/datasets/detect/objects365/
 # Example usage: yolo train data=Objects365.yaml

ultralytics/cfg/datasets/SKU-110K.yaml

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-# Ultralytics YOLO 🚀, AGPL-3.0 license
+# Ultralytics 🚀 AGPL-3.0 License - https://ultralytics.com/license
+
 # SKU-110K retail items dataset https://github.com/eg4000/SKU110K_CVPR19 by Trax Retail
 # Documentation: https://docs.ultralytics.com/datasets/detect/sku-110k/
 # Example usage: yolo train data=SKU-110K.yaml

ultralytics/cfg/datasets/VOC.yaml

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-# Ultralytics YOLO 🚀, AGPL-3.0 license
+# Ultralytics 🚀 AGPL-3.0 License - https://ultralytics.com/license
+
 # PASCAL VOC dataset http://host.robots.ox.ac.uk/pascal/VOC by University of Oxford
 # Documentation: # Documentation: https://docs.ultralytics.com/datasets/detect/voc/
 # Example usage: yolo train data=VOC.yaml

ultralytics/cfg/datasets/VisDrone.yaml

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-# Ultralytics YOLO 🚀, AGPL-3.0 license
+# Ultralytics 🚀 AGPL-3.0 License - https://ultralytics.com/license
+
 # VisDrone2019-DET dataset https://github.com/VisDrone/VisDrone-Dataset by Tianjin University
 # Documentation: https://docs.ultralytics.com/datasets/detect/visdrone/
 # Example usage: yolo train data=VisDrone.yaml

ultralytics/cfg/datasets/african-wildlife.yaml

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-# Ultralytics YOLO 🚀, AGPL-3.0 license
+# Ultralytics 🚀 AGPL-3.0 License - https://ultralytics.com/license
+
 # African-wildlife dataset by Ultralytics
 # Documentation: https://docs.ultralytics.com/datasets/detect/african-wildlife/
 # Example usage: yolo train data=african-wildlife.yaml

ultralytics/cfg/datasets/brain-tumor.yaml

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-# Ultralytics YOLO 🚀, AGPL-3.0 license
+# Ultralytics 🚀 AGPL-3.0 License - https://ultralytics.com/license
+
 # Brain-tumor dataset by Ultralytics
 # Documentation: https://docs.ultralytics.com/datasets/detect/brain-tumor/
 # Example usage: yolo train data=brain-tumor.yaml

ultralytics/cfg/datasets/carparts-seg.yaml

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-# Ultralytics YOLO 🚀, AGPL-3.0 license
+# Ultralytics 🚀 AGPL-3.0 License - https://ultralytics.com/license
+
 # Carparts-seg dataset by Ultralytics
 # Documentation: https://docs.ultralytics.com/datasets/segment/carparts-seg/
 # Example usage: yolo train data=carparts-seg.yaml

ultralytics/cfg/datasets/coco-pose.yaml

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-# Ultralytics YOLO 🚀, AGPL-3.0 license
+# Ultralytics 🚀 AGPL-3.0 License - https://ultralytics.com/license
+
 # COCO 2017 Keypoints dataset https://cocodataset.org by Microsoft
 # Documentation: https://docs.ultralytics.com/datasets/pose/coco/
 # Example usage: yolo train data=coco-pose.yaml

ultralytics/cfg/datasets/coco.yaml

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-# Ultralytics YOLO 🚀, AGPL-3.0 license
+# Ultralytics 🚀 AGPL-3.0 License - https://ultralytics.com/license
+
 # COCO 2017 dataset https://cocodataset.org by Microsoft
 # Documentation: https://docs.ultralytics.com/datasets/detect/coco/
 # Example usage: yolo train data=coco.yaml

ultralytics/cfg/datasets/coco128-seg.yaml

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-# Ultralytics YOLO 🚀, AGPL-3.0 license
+# Ultralytics 🚀 AGPL-3.0 License - https://ultralytics.com/license
+
 # COCO128-seg dataset https://www.kaggle.com/datasets/ultralytics/coco128 (first 128 images from COCO train2017) by Ultralytics
 # Documentation: https://docs.ultralytics.com/datasets/segment/coco/
 # Example usage: yolo train data=coco128.yaml

ultralytics/cfg/datasets/coco128.yaml

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-# Ultralytics YOLO 🚀, AGPL-3.0 license
+# Ultralytics 🚀 AGPL-3.0 License - https://ultralytics.com/license
+
 # COCO128 dataset https://www.kaggle.com/datasets/ultralytics/coco128 (first 128 images from COCO train2017) by Ultralytics
 # Documentation: https://docs.ultralytics.com/datasets/detect/coco/
 # Example usage: yolo train data=coco128.yaml

ultralytics/cfg/datasets/coco8-pose.yaml

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-# Ultralytics YOLO 🚀, AGPL-3.0 license
+# Ultralytics 🚀 AGPL-3.0 License - https://ultralytics.com/license
+
 # COCO8-pose dataset (first 8 images from COCO train2017) by Ultralytics
 # Documentation: https://docs.ultralytics.com/datasets/pose/coco8-pose/
 # Example usage: yolo train data=coco8-pose.yaml

ultralytics/cfg/datasets/coco8-seg.yaml

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-# Ultralytics YOLO 🚀, AGPL-3.0 license
+# Ultralytics 🚀 AGPL-3.0 License - https://ultralytics.com/license
+
 # COCO8-seg dataset (first 8 images from COCO train2017) by Ultralytics
 # Documentation: https://docs.ultralytics.com/datasets/segment/coco8-seg/
 # Example usage: yolo train data=coco8-seg.yaml

ultralytics/cfg/datasets/coco8.yaml

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-# Ultralytics YOLO 🚀, AGPL-3.0 license
+# Ultralytics 🚀 AGPL-3.0 License - https://ultralytics.com/license
+
 # COCO8 dataset (first 8 images from COCO train2017) by Ultralytics
 # Documentation: https://docs.ultralytics.com/datasets/detect/coco8/
 # Example usage: yolo train data=coco8.yaml

ultralytics/cfg/datasets/crack-seg.yaml

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-# Ultralytics YOLO 🚀, AGPL-3.0 license
+# Ultralytics 🚀 AGPL-3.0 License - https://ultralytics.com/license
+
 # Crack-seg dataset by Ultralytics
 # Documentation: https://docs.ultralytics.com/datasets/segment/crack-seg/
 # Example usage: yolo train data=crack-seg.yaml

ultralytics/cfg/datasets/dog-pose.yaml

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-# Ultralytics YOLO 🚀, AGPL-3.0 license
+# Ultralytics 🚀 AGPL-3.0 License - https://ultralytics.com/license
+
 # Dogs dataset http://vision.stanford.edu/aditya86/ImageNetDogs/ by Stanford
 # Documentation: https://docs.ultralytics.com/datasets/pose/dog-pose/
 # Example usage: yolo train data=dog-pose.yaml

ultralytics/cfg/datasets/dota8.yaml

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-# Ultralytics YOLO 🚀, AGPL-3.0 license
+# Ultralytics 🚀 AGPL-3.0 License - https://ultralytics.com/license
+
 # DOTA8 dataset 8 images from split DOTAv1 dataset by Ultralytics
 # Documentation: https://docs.ultralytics.com/datasets/obb/dota8/
 # Example usage: yolo train model=yolov8n-obb.pt data=dota8.yaml

ultralytics/cfg/datasets/hand-keypoints.yaml

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-# Ultralytics YOLO 🚀, AGPL-3.0 license
+# Ultralytics 🚀 AGPL-3.0 License - https://ultralytics.com/license
+
 # Hand Keypoints dataset by Ultralytics
 # Documentation: https://docs.ultralytics.com/datasets/pose/hand-keypoints/
 # Example usage: yolo train data=hand-keypoints.yaml

ultralytics/cfg/datasets/lvis.yaml

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-# Ultralytics YOLO 🚀, AGPL-3.0 license
+# Ultralytics 🚀 AGPL-3.0 License - https://ultralytics.com/license
+
 # LVIS dataset http://www.lvisdataset.org by Facebook AI Research.
 # Documentation: https://docs.ultralytics.com/datasets/detect/lvis/
 # Example usage: yolo train data=lvis.yaml

ultralytics/cfg/datasets/medical-pills.yaml

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-# Ultralytics YOLO 🚀, AGPL-3.0 license
+# Ultralytics 🚀 AGPL-3.0 License - https://ultralytics.com/license
+
 # Medical-pills dataset by Ultralytics
 # Documentation: https://docs.ultralytics.com/datasets/detect/medical-pills/
 # Example usage: yolo train data=medical-pills.yaml

ultralytics/cfg/datasets/open-images-v7.yaml

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-# Ultralytics YOLO 🚀, AGPL-3.0 license
+# Ultralytics 🚀 AGPL-3.0 License - https://ultralytics.com/license
+
 # Open Images v7 dataset https://storage.googleapis.com/openimages/web/index.html by Google
 # Documentation: https://docs.ultralytics.com/datasets/detect/open-images-v7/
 # Example usage: yolo train data=open-images-v7.yaml

ultralytics/cfg/datasets/package-seg.yaml

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-# Ultralytics YOLO 🚀, AGPL-3.0 license
+# Ultralytics 🚀 AGPL-3.0 License - https://ultralytics.com/license
+
 # Package-seg dataset by Ultralytics
 # Documentation: https://docs.ultralytics.com/datasets/segment/package-seg/
 # Example usage: yolo train data=package-seg.yaml

ultralytics/cfg/datasets/signature.yaml

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-# Ultralytics YOLO 🚀, AGPL-3.0 license
+# Ultralytics 🚀 AGPL-3.0 License - https://ultralytics.com/license
+
 # Signature dataset by Ultralytics
 # Documentation: https://docs.ultralytics.com/datasets/detect/signature/
 # Example usage: yolo train data=signature.yaml

ultralytics/cfg/datasets/tiger-pose.yaml

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-# Ultralytics YOLO 🚀, AGPL-3.0 license
+# Ultralytics 🚀 AGPL-3.0 License - https://ultralytics.com/license
+
 # Tiger Pose dataset by Ultralytics
 # Documentation: https://docs.ultralytics.com/datasets/pose/tiger-pose/
 # Example usage: yolo train data=tiger-pose.yaml

ultralytics/cfg/datasets/xView.yaml

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-# Ultralytics YOLO 🚀, AGPL-3.0 license
+# Ultralytics 🚀 AGPL-3.0 License - https://ultralytics.com/license
+
 # DIUx xView 2018 Challenge https://challenge.xviewdataset.org by U.S. National Geospatial-Intelligence Agency (NGA)
 # --------  DOWNLOAD DATA MANUALLY and jar xf val_images.zip to 'datasets/xView' before running train command!  --------
 # Documentation: https://docs.ultralytics.com/datasets/detect/xview/