Add docs links to all dataset YAMLs (#7360)

Signed-off-by: Glenn Jocher <glenn.jocher@ultralytics.com>

ultralytics/cfg/datasets/Argoverse.yaml

@@ -1,5 +1,6 @@
 # Ultralytics YOLO 🚀, AGPL-3.0 license
 # Argoverse-HD dataset (ring-front-center camera) http://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
 # parent
 # ├── ultralytics

ultralytics/cfg/datasets/DOTAv1.5.yaml

@@ -1,6 +1,7 @@
 # Ultralytics YOLO 🚀, AGPL-3.0 license
 # DOTA 1.5 dataset https://captain-whu.github.io/DOTA/index.html for object detection in aerial images by Wuhan University
-# Example usage: yolo train model=yolov8n-obb.pt data=DOTAv2.yaml
+# Documentation: https://docs.ultralytics.com/datasets/obb/dota-v2/
+# Example usage: yolo train model=yolov8n-obb.pt data=DOTAv1.5.yaml
 # parent
 # ├── ultralytics
 # └── datasets

ultralytics/cfg/datasets/DOTAv1.yaml

@@ -1,6 +1,7 @@
 # Ultralytics YOLO 🚀, AGPL-3.0 license
 # DOTA 1.0 dataset https://captain-whu.github.io/DOTA/index.html for object detection in aerial images by Wuhan University
-# Example usage: yolo train model=yolov8n-obb.pt data=DOTAv2.yaml
+# Documentation: https://docs.ultralytics.com/datasets/obb/dota-v2/
+# Example usage: yolo train model=yolov8n-obb.pt data=DOTAv1.yaml
 # parent
 # ├── ultralytics
 # └── datasets

ultralytics/cfg/datasets/GlobalWheat2020.yaml

@@ -1,5 +1,6 @@
 # Ultralytics YOLO 🚀, AGPL-3.0 license
 # Global Wheat 2020 dataset http://www.global-wheat.com/ by University of Saskatchewan
+# Documentation: https://docs.ultralytics.com/datasets/detect/globalwheat2020/
 # Example usage: yolo train data=GlobalWheat2020.yaml
 # parent
 # ├── ultralytics

ultralytics/cfg/datasets/ImageNet.yaml

@@ -1,6 +1,7 @@
 # Ultralytics YOLO 🚀, AGPL-3.0 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/
 # Example usage: yolo train task=classify data=imagenet
 # parent
 # ├── ultralytics

ultralytics/cfg/datasets/Objects365.yaml

@@ -1,5 +1,6 @@
 # Ultralytics YOLO 🚀, AGPL-3.0 license
 # Objects365 dataset https://www.objects365.org/ by Megvii
+# Documentation: https://docs.ultralytics.com/datasets/detect/objects365/
 # Example usage: yolo train data=Objects365.yaml
 # parent
 # ├── ultralytics

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

@@ -1,5 +1,6 @@
 # Ultralytics YOLO 🚀, AGPL-3.0 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
 # parent
 # ├── ultralytics

ultralytics/cfg/datasets/VOC.yaml

@@ -1,5 +1,6 @@
 # Ultralytics YOLO 🚀, AGPL-3.0 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
 # parent
 # ├── ultralytics

ultralytics/cfg/datasets/VisDrone.yaml

@@ -1,5 +1,6 @@
 # Ultralytics YOLO 🚀, AGPL-3.0 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
 # parent
 # ├── ultralytics

ultralytics/cfg/datasets/coco-pose.yaml

@@ -1,5 +1,6 @@
 # Ultralytics YOLO 🚀, AGPL-3.0 license
 # COCO 2017 dataset http://cocodataset.org by Microsoft
+# Documentation: https://docs.ultralytics.com/datasets/pose/coco/
 # Example usage: yolo train data=coco-pose.yaml
 # parent
 # ├── ultralytics

ultralytics/cfg/datasets/coco.yaml

@@ -1,5 +1,6 @@
 # Ultralytics YOLO 🚀, AGPL-3.0 license
 # COCO 2017 dataset http://cocodataset.org by Microsoft
+# Documentation: https://docs.ultralytics.com/datasets/detect/coco/
 # Example usage: yolo train data=coco.yaml
 # parent
 # ├── ultralytics

ultralytics/cfg/datasets/coco128-seg.yaml

@@ -1,5 +1,6 @@
 # Ultralytics YOLO 🚀, AGPL-3.0 license
 # COCO128-seg dataset https://www.kaggle.com/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
 # parent
 # ├── ultralytics

ultralytics/cfg/datasets/coco128.yaml

@@ -1,5 +1,6 @@
 # Ultralytics YOLO 🚀, AGPL-3.0 license
 # COCO128 dataset https://www.kaggle.com/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
 # parent
 # ├── ultralytics

ultralytics/cfg/datasets/coco8-pose.yaml

@@ -1,5 +1,6 @@
 # Ultralytics YOLO 🚀, AGPL-3.0 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
 # parent
 # ├── ultralytics

ultralytics/cfg/datasets/coco8-seg.yaml

@@ -1,5 +1,6 @@
 # Ultralytics YOLO 🚀, AGPL-3.0 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
 # parent
 # ├── ultralytics

ultralytics/cfg/datasets/coco8.yaml

@@ -1,5 +1,6 @@
 # Ultralytics YOLO 🚀, AGPL-3.0 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
 # parent
 # ├── ultralytics

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

@@ -1,5 +1,6 @@
 # Ultralytics YOLO 🚀, AGPL-3.0 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
 # parent
 # ├── ultralytics

ultralytics/cfg/datasets/tiger-pose.yaml

@@ -1,5 +1,6 @@
 # Ultralytics YOLO 🚀, AGPL-3.0 license
 # Tiger Pose dataset by Ultralytics
+# Documentation: https://docs.ultralytics.com/datasets/pose/tiger-pose/
 # Example usage: yolo train data=tiger-pose.yaml
 # parent
 # ├── ultralytics

ultralytics/cfg/datasets/xView.yaml

@@ -1,6 +1,7 @@
 # Ultralytics YOLO 🚀, AGPL-3.0 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/
 # Example usage: yolo train data=xView.yaml
 # parent
 # ├── ultralytics