From 232b979192c655cc8c232ed386f97dd35840f4ca Mon Sep 17 00:00:00 2001 From: Glenn Jocher Date: Sun, 19 Dec 2021 15:19:04 +0100 Subject: [PATCH] Add dataset source citations (#6032) --- data/Argoverse.yaml | 2 +- data/GlobalWheat2020.yaml | 2 +- data/Objects365.yaml | 2 +- data/SKU-110K.yaml | 2 +- data/VOC.yaml | 2 +- data/VisDrone.yaml | 2 +- data/coco.yaml | 2 +- data/coco128.yaml | 2 +- data/xView.yaml | 2 +- 9 files changed, 9 insertions(+), 9 deletions(-) diff --git a/data/Argoverse.yaml b/data/Argoverse.yaml index 1625dd1b9d2b..312791b33a2d 100644 --- a/data/Argoverse.yaml +++ b/data/Argoverse.yaml @@ -1,5 +1,5 @@ # YOLOv5 🚀 by Ultralytics, GPL-3.0 license -# Argoverse-HD dataset (ring-front-center camera) http://www.cs.cmu.edu/~mengtial/proj/streaming/ +# Argoverse-HD dataset (ring-front-center camera) http://www.cs.cmu.edu/~mengtial/proj/streaming/ by Argo AI # Example usage: python train.py --data Argoverse.yaml # parent # ├── yolov5 diff --git a/data/GlobalWheat2020.yaml b/data/GlobalWheat2020.yaml index 75b3bfdff43e..869dace0be2b 100644 --- a/data/GlobalWheat2020.yaml +++ b/data/GlobalWheat2020.yaml @@ -1,5 +1,5 @@ # YOLOv5 🚀 by Ultralytics, GPL-3.0 license -# Global Wheat 2020 dataset http://www.global-wheat.com/ +# Global Wheat 2020 dataset http://www.global-wheat.com/ by University of Saskatchewan # Example usage: python train.py --data GlobalWheat2020.yaml # parent # ├── yolov5 diff --git a/data/Objects365.yaml b/data/Objects365.yaml index b10c28e764c1..4c7cf3fdb2c8 100644 --- a/data/Objects365.yaml +++ b/data/Objects365.yaml @@ -1,5 +1,5 @@ # YOLOv5 🚀 by Ultralytics, GPL-3.0 license -# Objects365 dataset https://www.objects365.org/ +# Objects365 dataset https://www.objects365.org/ by Megvii # Example usage: python train.py --data Objects365.yaml # parent # ├── yolov5 diff --git a/data/SKU-110K.yaml b/data/SKU-110K.yaml index 653485e2079a..9481b7a04aee 100644 --- a/data/SKU-110K.yaml +++ b/data/SKU-110K.yaml @@ -1,5 +1,5 @@ # YOLOv5 🚀 by Ultralytics, GPL-3.0 license -# SKU-110K retail items dataset https://github.com/eg4000/SKU110K_CVPR19 +# SKU-110K retail items dataset https://github.com/eg4000/SKU110K_CVPR19 by Trax Retail # Example usage: python train.py --data SKU-110K.yaml # parent # ├── yolov5 diff --git a/data/VOC.yaml b/data/VOC.yaml index 8dbaacf9c290..975d56466de1 100644 --- a/data/VOC.yaml +++ b/data/VOC.yaml @@ -1,5 +1,5 @@ # YOLOv5 🚀 by Ultralytics, GPL-3.0 license -# PASCAL VOC dataset http://host.robots.ox.ac.uk/pascal/VOC +# PASCAL VOC dataset http://host.robots.ox.ac.uk/pascal/VOC by University of Oxford # Example usage: python train.py --data VOC.yaml # parent # ├── yolov5 diff --git a/data/VisDrone.yaml b/data/VisDrone.yaml index 7753da98269e..83a5c7d55e06 100644 --- a/data/VisDrone.yaml +++ b/data/VisDrone.yaml @@ -1,5 +1,5 @@ # YOLOv5 🚀 by Ultralytics, GPL-3.0 license -# VisDrone2019-DET dataset https://github.com/VisDrone/VisDrone-Dataset +# VisDrone2019-DET dataset https://github.com/VisDrone/VisDrone-Dataset by Tianjin University # Example usage: python train.py --data VisDrone.yaml # parent # ├── yolov5 diff --git a/data/coco.yaml b/data/coco.yaml index 348a3d48c412..3ed7e48a2185 100644 --- a/data/coco.yaml +++ b/data/coco.yaml @@ -1,5 +1,5 @@ # YOLOv5 🚀 by Ultralytics, GPL-3.0 license -# COCO 2017 dataset http://cocodataset.org +# COCO 2017 dataset http://cocodataset.org by Microsoft # Example usage: python train.py --data coco.yaml # parent # ├── yolov5 diff --git a/data/coco128.yaml b/data/coco128.yaml index 84a91b18359d..d07c704407a1 100644 --- a/data/coco128.yaml +++ b/data/coco128.yaml @@ -1,5 +1,5 @@ # YOLOv5 🚀 by Ultralytics, GPL-3.0 license -# COCO128 dataset https://www.kaggle.com/ultralytics/coco128 (first 128 images from COCO train2017) +# COCO128 dataset https://www.kaggle.com/ultralytics/coco128 (first 128 images from COCO train2017) by Ultralytics # Example usage: python train.py --data coco128.yaml # parent # ├── yolov5 diff --git a/data/xView.yaml b/data/xView.yaml index 5fcb7479d0af..fd82828dcb8c 100644 --- a/data/xView.yaml +++ b/data/xView.yaml @@ -1,5 +1,5 @@ # YOLOv5 🚀 by Ultralytics, GPL-3.0 license -# xView 2018 dataset https://challenge.xviewdataset.org +# 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! -------- # Example usage: python train.py --data xView.yaml # parent