Add dataset sizes (zipped) (#7293)

data/Argoverse.yaml

@@ -4,7 +4,7 @@
 # parent
 # ├── yolov5
 # └── datasets
-#     └── Argoverse  ← downloads here
+#     └── Argoverse  ← downloads here (31.3 GB)
 
 
 # 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, ..]

data/GlobalWheat2020.yaml

@@ -4,7 +4,7 @@
 # parent
 # ├── yolov5
 # └── datasets
-#     └── GlobalWheat2020  ← downloads here
+#     └── GlobalWheat2020  ← downloads here (7.0 GB)
 
 
 # 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, ..]

data/Objects365.yaml

@@ -4,7 +4,7 @@
 # parent
 # ├── yolov5
 # └── datasets
-#     └── Objects365  ← downloads here
+#     └── Objects365  ← downloads here (750 GB)
 
 
 # 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, ..]

data/SKU-110K.yaml

@@ -4,7 +4,7 @@
 # parent
 # ├── yolov5
 # └── datasets
-#     └── SKU-110K  ← downloads here
+#     └── SKU-110K  ← downloads here (13.6 GB)
 
 
 # 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, ..]

data/VOC.yaml

@@ -4,7 +4,7 @@
 # parent
 # ├── yolov5
 # └── datasets
-#     └── VOC  ← downloads here
+#     └── VOC  ← downloads here (2.8 GB)
 
 
 # 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, ..]

data/VisDrone.yaml

@@ -4,7 +4,7 @@
 # parent
 # ├── yolov5
 # └── datasets
-#     └── VisDrone  ← downloads here
+#     └── VisDrone  ← downloads here (2.3 GB)
 
 
 # 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, ..]

data/coco.yaml

@@ -4,7 +4,7 @@
 # parent
 # ├── yolov5
 # └── datasets
-#     └── coco  ← downloads here
+#     └── coco  ← downloads here (20.1 GB)
 
 
 # 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, ..]

data/coco128.yaml

@@ -4,7 +4,7 @@
 # parent
 # ├── yolov5
 # └── datasets
-#     └── coco128  ← downloads here
+#     └── coco128  ← downloads here (7 MB)
 
 
 # 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, ..]

data/xView.yaml

@@ -5,7 +5,7 @@
 # parent
 # ├── yolov5
 # └── datasets
-#     └── xView  ← downloads here
+#     └── xView  ← downloads here (20.7 GB)
 
 
 # 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, ..]