glenn-jocher commited on
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26f0415
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1 Parent(s): abbdd48

Add dataset source citations (#6032)

Browse files
data/Argoverse.yaml CHANGED
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  # YOLOv5 πŸš€ by Ultralytics, GPL-3.0 license
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- # Argoverse-HD dataset (ring-front-center camera) http://www.cs.cmu.edu/~mengtial/proj/streaming/
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  # Example usage: python train.py --data Argoverse.yaml
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  # parent
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  # β”œβ”€β”€ yolov5
 
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  # YOLOv5 πŸš€ by Ultralytics, GPL-3.0 license
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+ # Argoverse-HD dataset (ring-front-center camera) http://www.cs.cmu.edu/~mengtial/proj/streaming/ by Argo AI
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  # Example usage: python train.py --data Argoverse.yaml
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  # parent
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  # β”œβ”€β”€ yolov5
data/GlobalWheat2020.yaml CHANGED
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  # YOLOv5 πŸš€ by Ultralytics, GPL-3.0 license
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- # Global Wheat 2020 dataset http://www.global-wheat.com/
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  # Example usage: python train.py --data GlobalWheat2020.yaml
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  # parent
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  # β”œβ”€β”€ yolov5
 
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  # YOLOv5 πŸš€ by Ultralytics, GPL-3.0 license
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+ # Global Wheat 2020 dataset http://www.global-wheat.com/ by University of Saskatchewan
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  # Example usage: python train.py --data GlobalWheat2020.yaml
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  # parent
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  # β”œβ”€β”€ yolov5
data/Objects365.yaml CHANGED
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  # YOLOv5 πŸš€ by Ultralytics, GPL-3.0 license
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- # Objects365 dataset https://www.objects365.org/
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  # Example usage: python train.py --data Objects365.yaml
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  # parent
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  # β”œβ”€β”€ yolov5
 
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  # YOLOv5 πŸš€ by Ultralytics, GPL-3.0 license
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+ # Objects365 dataset https://www.objects365.org/ by Megvii
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  # Example usage: python train.py --data Objects365.yaml
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  # parent
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  # β”œβ”€β”€ yolov5
data/SKU-110K.yaml CHANGED
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  # YOLOv5 πŸš€ by Ultralytics, GPL-3.0 license
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- # SKU-110K retail items dataset https://github.com/eg4000/SKU110K_CVPR19
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  # Example usage: python train.py --data SKU-110K.yaml
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  # parent
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  # β”œβ”€β”€ yolov5
 
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  # YOLOv5 πŸš€ by Ultralytics, GPL-3.0 license
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+ # SKU-110K retail items dataset https://github.com/eg4000/SKU110K_CVPR19 by Trax Retail
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  # Example usage: python train.py --data SKU-110K.yaml
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  # parent
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  # β”œβ”€β”€ yolov5
data/VOC.yaml CHANGED
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  # YOLOv5 πŸš€ by Ultralytics, GPL-3.0 license
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- # PASCAL VOC dataset http://host.robots.ox.ac.uk/pascal/VOC
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  # Example usage: python train.py --data VOC.yaml
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  # parent
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  # β”œβ”€β”€ yolov5
 
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  # YOLOv5 πŸš€ by Ultralytics, GPL-3.0 license
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+ # PASCAL VOC dataset http://host.robots.ox.ac.uk/pascal/VOC by University of Oxford
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  # Example usage: python train.py --data VOC.yaml
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  # parent
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  # β”œβ”€β”€ yolov5
data/VisDrone.yaml CHANGED
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  # YOLOv5 πŸš€ by Ultralytics, GPL-3.0 license
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- # VisDrone2019-DET dataset https://github.com/VisDrone/VisDrone-Dataset
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  # Example usage: python train.py --data VisDrone.yaml
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  # parent
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  # β”œβ”€β”€ yolov5
 
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  # YOLOv5 πŸš€ by Ultralytics, GPL-3.0 license
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+ # VisDrone2019-DET dataset https://github.com/VisDrone/VisDrone-Dataset by Tianjin University
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  # Example usage: python train.py --data VisDrone.yaml
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  # parent
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  # β”œβ”€β”€ yolov5
data/coco.yaml CHANGED
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  # YOLOv5 πŸš€ by Ultralytics, GPL-3.0 license
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- # COCO 2017 dataset http://cocodataset.org
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  # Example usage: python train.py --data coco.yaml
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  # parent
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  # β”œβ”€β”€ yolov5
 
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  # YOLOv5 πŸš€ by Ultralytics, GPL-3.0 license
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+ # COCO 2017 dataset http://cocodataset.org by Microsoft
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  # Example usage: python train.py --data coco.yaml
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  # parent
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  # β”œβ”€β”€ yolov5
data/coco128.yaml CHANGED
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  # YOLOv5 πŸš€ by Ultralytics, GPL-3.0 license
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- # COCO128 dataset https://www.kaggle.com/ultralytics/coco128 (first 128 images from COCO train2017)
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  # Example usage: python train.py --data coco128.yaml
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  # parent
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  # β”œβ”€β”€ yolov5
 
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  # YOLOv5 πŸš€ by Ultralytics, GPL-3.0 license
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+ # COCO128 dataset https://www.kaggle.com/ultralytics/coco128 (first 128 images from COCO train2017) by Ultralytics
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  # Example usage: python train.py --data coco128.yaml
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  # parent
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  # β”œβ”€β”€ yolov5
data/xView.yaml CHANGED
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  # YOLOv5 πŸš€ by Ultralytics, GPL-3.0 license
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- # xView 2018 dataset https://challenge.xviewdataset.org
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  # -------- DOWNLOAD DATA MANUALLY and jar xf val_images.zip to 'datasets/xView' before running train command! --------
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  # Example usage: python train.py --data xView.yaml
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  # parent
 
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  # YOLOv5 πŸš€ by Ultralytics, GPL-3.0 license
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+ # DIUx xView 2018 Challenge https://challenge.xviewdataset.org by U.S. National Geospatial-Intelligence Agency (NGA)
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  # -------- DOWNLOAD DATA MANUALLY and jar xf val_images.zip to 'datasets/xView' before running train command! --------
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  # Example usage: python train.py --data xView.yaml
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  # parent