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9 geänderte Dateien mit
9 neuen und
9 gelöschten Zeilen
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data/Argoverse.yaml
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data/GlobalWheat2020.yaml
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data/Objects365.yaml
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data/SKU-110K.yaml
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data/VOC.yaml
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data/VisDrone.yaml
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data/coco.yaml
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data/coco128.yaml
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data/xView.yaml
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# YOLOv5 🚀 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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# 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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# ├── yolov5 |
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# YOLOv5 🚀 by Ultralytics, GPL-3.0 license |
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# Global Wheat 2020 dataset http://www.global-wheat.com/ |
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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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# ├── yolov5 |
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# YOLOv5 🚀 by Ultralytics, GPL-3.0 license |
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# Objects365 dataset https://www.objects365.org/ |
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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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# ├── yolov5 |
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# YOLOv5 🚀 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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# 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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# ├── yolov5 |
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# YOLOv5 🚀 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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# 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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# ├── yolov5 |
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# YOLOv5 🚀 by Ultralytics, GPL-3.0 license |
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# VisDrone2019-DET dataset https://github.com/VisDrone/VisDrone-Dataset |
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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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# ├── yolov5 |
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# YOLOv5 🚀 by Ultralytics, GPL-3.0 license |
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# COCO 2017 dataset http://cocodataset.org |
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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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# ├── yolov5 |
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# YOLOv5 🚀 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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# 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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# ├── yolov5 |
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# YOLOv5 🚀 by Ultralytics, GPL-3.0 license |
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# xView 2018 dataset https://challenge.xviewdataset.org |
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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 |
