add yolo v10 and modify pipeline

ultralytics/cfg/datasets/ImageNet.yaml

@@ -1,18 +1,18 @@
 # Ultralytics YOLO 🚀, AGPL-3.0 license
 # ImageNet-1k dataset https://www.image-net.org/index.php by Stanford University
 # Simplified class names from https://github.com/anishathalye/imagenet-simple-labels
+# Documentation: https://docs.ultralytics.com/datasets/classify/imagenet/
 # Example usage: yolo train task=classify data=imagenet
 # parent
 # ├── ultralytics
 # └── datasets
 #     └── imagenet  ← downloads here (144 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, ..]
-path: ../datasets/imagenet  # dataset root dir
-train: train  # train images (relative to 'path') 1281167 images
-val: val  # val images (relative to 'path') 50000 images
-test:  # test images (optional)
+path: ../datasets/imagenet # dataset root dir
+train: train # train images (relative to 'path') 1281167 images
+val: val # val images (relative to 'path') 50000 images
+test: # test images (optional)
 
 # Classes
 names:
@@ -2020,6 +2020,5 @@ map:
   n13133613: ear
   n15075141: toilet_tissue
 
-
 # Download script/URL (optional)
 download: yolo/data/scripts/get_imagenet.sh