Update comments header

data/Argoverse_HD.yaml

@@ -1,6 +1,6 @@
-# Copyright Ultralytics https://ultralytics.com, licensed under GNU GPL v3.0
+# YOLOv5 🚀 by Ultralytics https://ultralytics.com, licensed under GNU GPL v3.0
 # Argoverse-HD dataset (ring-front-center camera) http://www.cs.cmu.edu/~mengtial/proj/streaming/
-# YOLOv5 🚀 example usage: python train.py --data Argoverse_HD.yaml
+# Example usage: python train.py --data Argoverse_HD.yaml
 # parent
 # ├── yolov5
 # └── datasets

data/GlobalWheat2020.yaml

@@ -1,6 +1,6 @@
-# Copyright Ultralytics https://ultralytics.com, licensed under GNU GPL v3.0
+# YOLOv5 🚀 by Ultralytics https://ultralytics.com, licensed under GNU GPL v3.0
 # Global Wheat 2020 dataset http://www.global-wheat.com/
-# YOLOv5 🚀 example usage: python train.py --data GlobalWheat2020.yaml
+# Example usage: python train.py --data GlobalWheat2020.yaml
 # parent
 # ├── yolov5
 # └── datasets

data/Objects365.yaml

@@ -1,6 +1,6 @@
-# Copyright Ultralytics https://ultralytics.com, licensed under GNU GPL v3.0
+# YOLOv5 🚀 by Ultralytics https://ultralytics.com, licensed under GNU GPL v3.0
 # Objects365 dataset https://www.objects365.org/
-# YOLOv5 🚀 example usage: python train.py --data Objects365.yaml
+# Example usage: python train.py --data Objects365.yaml
 # parent
 # ├── yolov5
 # └── datasets

data/SKU-110K.yaml

@@ -1,6 +1,6 @@
-# Copyright Ultralytics https://ultralytics.com, licensed under GNU GPL v3.0
+# YOLOv5 🚀 by Ultralytics https://ultralytics.com, licensed under GNU GPL v3.0
 # SKU-110K retail items dataset https://github.com/eg4000/SKU110K_CVPR19
-# YOLOv5 🚀 example usage: python train.py --data SKU-110K.yaml
+# Example usage: python train.py --data SKU-110K.yaml
 # parent
 # ├── yolov5
 # └── datasets

data/VOC.yaml

@@ -1,6 +1,6 @@
-# Copyright Ultralytics https://ultralytics.com, licensed under GNU GPL v3.0
+# YOLOv5 🚀 by Ultralytics https://ultralytics.com, licensed under GNU GPL v3.0
 # PASCAL VOC dataset http://host.robots.ox.ac.uk/pascal/VOC
-# YOLOv5 🚀 example usage: python train.py --data VOC.yaml
+# Example usage: python train.py --data VOC.yaml
 # parent
 # ├── yolov5
 # └── datasets

data/VisDrone.yaml

@@ -1,6 +1,6 @@
-# Copyright Ultralytics https://ultralytics.com, licensed under GNU GPL v3.0
+# YOLOv5 🚀 by Ultralytics https://ultralytics.com, licensed under GNU GPL v3.0
 # VisDrone2019-DET dataset https://github.com/VisDrone/VisDrone-Dataset
-# YOLOv5 🚀 example usage: python train.py --data VisDrone.yaml
+# Example usage: python train.py --data VisDrone.yaml
 # parent
 # ├── yolov5
 # └── datasets

data/coco.yaml

@@ -1,6 +1,6 @@
-# Copyright Ultralytics https://ultralytics.com, licensed under GNU GPL v3.0
+# YOLOv5 🚀 by Ultralytics https://ultralytics.com, licensed under GNU GPL v3.0
 # COCO 2017 dataset http://cocodataset.org
-# YOLOv5 🚀 example usage: python train.py --data coco.yaml
+# Example usage: python train.py --data coco.yaml
 # parent
 # ├── yolov5
 # └── datasets

data/coco128.yaml

@@ -1,6 +1,6 @@
-# Copyright Ultralytics https://ultralytics.com, licensed under GNU GPL v3.0
+# YOLOv5 🚀 by Ultralytics https://ultralytics.com, licensed under GNU GPL v3.0
 # COCO128 dataset https://www.kaggle.com/ultralytics/coco128 (first 128 images from COCO train2017)
-# YOLOv5 🚀 example usage: python train.py --data coco128.yaml
+# Example usage: python train.py --data coco128.yaml
 # parent
 # ├── yolov5
 # └── datasets

data/scripts/download_weights.sh

@@ -1,7 +1,7 @@
 #!/bin/bash
-# Copyright Ultralytics https://ultralytics.com, licensed under GNU GPL v3.0
+# YOLOv5 🚀 by Ultralytics https://ultralytics.com, licensed under GNU GPL v3.0
 # Download latest models from https://github.com/ultralytics/yolov5/releases
-# YOLOv5 🚀 example usage: bash path/to/download_weights.sh
+# Example usage: bash path/to/download_weights.sh
 # parent
 # └── yolov5
 #     ├── yolov5s.pt  ← downloads here

data/scripts/get_coco.sh

@@ -1,7 +1,7 @@
 #!/bin/bash
-# Copyright Ultralytics https://ultralytics.com, licensed under GNU GPL v3.0
+# YOLOv5 🚀 by Ultralytics https://ultralytics.com, licensed under GNU GPL v3.0
 # Download COCO 2017 dataset http://cocodataset.org
-# YOLOv5 🚀 example usage: bash data/scripts/get_coco.sh
+# Example usage: bash data/scripts/get_coco.sh
 # parent
 # ├── yolov5
 # └── datasets

data/scripts/get_coco128.sh

@@ -1,7 +1,7 @@
 #!/bin/bash
-# Copyright Ultralytics https://ultralytics.com, licensed under GNU GPL v3.0
+# YOLOv5 🚀 by Ultralytics https://ultralytics.com, licensed under GNU GPL v3.0
 # Download COCO128 dataset https://www.kaggle.com/ultralytics/coco128 (first 128 images from COCO train2017)
-# YOLOv5 🚀 example usage: bash data/scripts/get_coco128.sh
+# Example usage: bash data/scripts/get_coco128.sh
 # parent
 # ├── yolov5
 # └── datasets

data/xView.yaml

@@ -1,7 +1,7 @@
-# Copyright Ultralytics https://ultralytics.com, licensed under GNU GPL v3.0
+# YOLOv5 🚀 by Ultralytics https://ultralytics.com, licensed under GNU GPL v3.0
 # xView 2018 dataset https://challenge.xviewdataset.org
 # --------  DOWNLOAD DATA MANUALLY from URL above and unzip to 'datasets/xView' before running train command!  --------
-# YOLOv5 🚀 example usage: python train.py --data xView.yaml
+# Example usage: python train.py --data xView.yaml
 # parent
 # ├── yolov5
 # └── datasets