From f8e11483df9055a30843162a33a185c5f4b47ab3 Mon Sep 17 00:00:00 2001 From: Glenn Jocher Date: Mon, 26 Jul 2021 14:23:43 +0200 Subject: [PATCH] Update dataset headers (#4162) --- data/Argoverse_HD.yaml | 11 ++++++----- data/GlobalWheat2020.yaml | 11 ++++++----- data/Objects365.yaml | 11 ++++++----- data/SKU-110K.yaml | 11 ++++++----- data/VOC.yaml | 13 +++++++------ data/VisDrone.yaml | 11 ++++++----- data/coco.yaml | 11 ++++++----- data/coco128.yaml | 13 +++++++------ data/xView.yaml | 13 +++++++------ 9 files changed, 57 insertions(+), 48 deletions(-) diff --git a/data/Argoverse_HD.yaml b/data/Argoverse_HD.yaml index ad1a52254d74..90721cc0b9fb 100644 --- a/data/Argoverse_HD.yaml +++ b/data/Argoverse_HD.yaml @@ -1,9 +1,10 @@ +# Copyright 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/ -# Train command: python train.py --data Argoverse_HD.yaml -# Default dataset location is next to YOLOv5: -# /parent -# /datasets/Argoverse -# /yolov5 +# YOLOv5 🚀 example usage: python train.py --data Argoverse_HD.yaml +# parent +# ├── yolov5 +# └── datasets +# └── Argoverse ← downloads here # Train/val/test sets as 1) dir: path/to/imgs, 2) file: path/to/imgs.txt, or 3) list: [path/to/imgs1, path/to/imgs2, ..] diff --git a/data/GlobalWheat2020.yaml b/data/GlobalWheat2020.yaml index b77534944ed7..58b55114c722 100644 --- a/data/GlobalWheat2020.yaml +++ b/data/GlobalWheat2020.yaml @@ -1,9 +1,10 @@ +# Copyright Ultralytics https://ultralytics.com, licensed under GNU GPL v3.0 # Global Wheat 2020 dataset http://www.global-wheat.com/ -# Train command: python train.py --data GlobalWheat2020.yaml -# Default dataset location is next to YOLOv5: -# /parent -# /datasets/GlobalWheat2020 -# /yolov5 +# YOLOv5 🚀 example usage: python train.py --data GlobalWheat2020.yaml +# parent +# ├── yolov5 +# └── datasets +# └── GlobalWheat2020 ← downloads here # Train/val/test sets as 1) dir: path/to/imgs, 2) file: path/to/imgs.txt, or 3) list: [path/to/imgs1, path/to/imgs2, ..] diff --git a/data/Objects365.yaml b/data/Objects365.yaml index e365c82cab08..e29803bc9e02 100644 --- a/data/Objects365.yaml +++ b/data/Objects365.yaml @@ -1,9 +1,10 @@ +# Copyright Ultralytics https://ultralytics.com, licensed under GNU GPL v3.0 # Objects365 dataset https://www.objects365.org/ -# Train command: python train.py --data Objects365.yaml -# Default dataset location is next to YOLOv5: -# /parent -# /datasets/Objects365 -# /yolov5 +# YOLOv5 🚀 example usage: python train.py --data Objects365.yaml +# parent +# ├── yolov5 +# └── datasets +# └── Objects365 ← downloads here # Train/val/test sets as 1) dir: path/to/imgs, 2) file: path/to/imgs.txt, or 3) list: [path/to/imgs1, path/to/imgs2, ..] diff --git a/data/SKU-110K.yaml b/data/SKU-110K.yaml index 7087bb9c2893..04d8e0819e7f 100644 --- a/data/SKU-110K.yaml +++ b/data/SKU-110K.yaml @@ -1,9 +1,10 @@ +# Copyright Ultralytics https://ultralytics.com, licensed under GNU GPL v3.0 # SKU-110K retail items dataset https://github.com/eg4000/SKU110K_CVPR19 -# Train command: python train.py --data SKU-110K.yaml -# Default dataset location is next to YOLOv5: -# /parent -# /datasets/SKU-110K -# /yolov5 +# YOLOv5 🚀 example usage: python train.py --data SKU-110K.yaml +# parent +# ├── yolov5 +# └── datasets +# └── SKU-110K ← downloads here # Train/val/test sets as 1) dir: path/to/imgs, 2) file: path/to/imgs.txt, or 3) list: [path/to/imgs1, path/to/imgs2, ..] diff --git a/data/VOC.yaml b/data/VOC.yaml index 3d878fa67a60..40df3d9ff001 100644 --- a/data/VOC.yaml +++ b/data/VOC.yaml @@ -1,9 +1,10 @@ -# PASCAL VOC dataset http://host.robots.ox.ac.uk/pascal/VOC/ -# Train command: python train.py --data VOC.yaml -# Default dataset location is next to YOLOv5: -# /parent -# /datasets/VOC -# /yolov5 +# Copyright 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 +# parent +# ├── yolov5 +# └── datasets +# └── VOC ← downloads here # Train/val/test sets as 1) dir: path/to/imgs, 2) file: path/to/imgs.txt, or 3) list: [path/to/imgs1, path/to/imgs2, ..] diff --git a/data/VisDrone.yaml b/data/VisDrone.yaml index c1cd38d1e10f..e7865c5b44f2 100644 --- a/data/VisDrone.yaml +++ b/data/VisDrone.yaml @@ -1,9 +1,10 @@ +# Copyright Ultralytics https://ultralytics.com, licensed under GNU GPL v3.0 # VisDrone2019-DET dataset https://github.com/VisDrone/VisDrone-Dataset -# Train command: python train.py --data VisDrone.yaml -# Default dataset location is next to YOLOv5: -# /parent -# /datasets/VisDrone -# /yolov5 +# YOLOv5 🚀 example usage: python train.py --data VisDrone.yaml +# parent +# ├── yolov5 +# └── datasets +# └── VisDrone ← downloads here # Train/val/test sets as 1) dir: path/to/imgs, 2) file: path/to/imgs.txt, or 3) list: [path/to/imgs1, path/to/imgs2, ..] diff --git a/data/coco.yaml b/data/coco.yaml index c6053c984bc0..699a761c6f54 100644 --- a/data/coco.yaml +++ b/data/coco.yaml @@ -1,9 +1,10 @@ +# Copyright Ultralytics https://ultralytics.com, licensed under GNU GPL v3.0 # COCO 2017 dataset http://cocodataset.org -# Train command: python train.py --data coco.yaml -# Default dataset location is next to YOLOv5: -# /parent -# /datasets/coco -# /yolov5 +# YOLOv5 🚀 example usage: python train.py --data coco.yaml +# parent +# ├── yolov5 +# └── datasets +# └── coco ← downloads here # Train/val/test sets as 1) dir: path/to/imgs, 2) file: path/to/imgs.txt, or 3) list: [path/to/imgs1, path/to/imgs2, ..] diff --git a/data/coco128.yaml b/data/coco128.yaml index e70ad687dd88..91e4bde66465 100644 --- a/data/coco128.yaml +++ b/data/coco128.yaml @@ -1,9 +1,10 @@ -# COCO 2017 dataset http://cocodataset.org - first 128 training images -# Train command: python train.py --data coco128.yaml -# Default dataset location is next to YOLOv5: -# /parent -# /datasets/coco128 -# /yolov5 +# Copyright 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 +# parent +# ├── yolov5 +# └── datasets +# └── coco128 ← downloads here # Train/val/test sets as 1) dir: path/to/imgs, 2) file: path/to/imgs.txt, or 3) list: [path/to/imgs1, path/to/imgs2, ..] diff --git a/data/xView.yaml b/data/xView.yaml index 5212193a0bf0..0766f9dc8776 100644 --- a/data/xView.yaml +++ b/data/xView.yaml @@ -1,10 +1,11 @@ +# Copyright Ultralytics https://ultralytics.com, licensed under GNU GPL v3.0 # xView 2018 dataset https://challenge.xviewdataset.org -# ----> NOTE: DOWNLOAD DATA MANUALLY from URL above and unzip to /datasets/xView before running train command below -# Train command: python train.py --data xView.yaml -# Default dataset location is next to YOLOv5: -# /parent -# /datasets/xView -# /yolov5 +# -------- DOWNLOAD DATA MANUALLY from URL above and unzip to 'datasets/xView' before running train command! -------- +# YOLOv5 🚀 example usage: python train.py --data xView.yaml +# parent +# ├── yolov5 +# └── datasets +# └── xView ← downloads here # Train/val/test sets as 1) dir: path/to/imgs, 2) file: path/to/imgs.txt, or 3) list: [path/to/imgs1, path/to/imgs2, ..]