@@ -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 |
@@ -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 |
@@ -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 |
@@ -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 |
@@ -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 |
@@ -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 |
@@ -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 |
@@ -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 |
@@ -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 |