diff --git a/datasets/imagenet_download.py b/datasets/imagenet_download.py
new file mode 100644
index 00000000..71d9e55c
--- /dev/null
+++ b/datasets/imagenet_download.py
@@ -0,0 +1,51 @@
+# Python version of https://gist.github.com/antoinebrl/7d00d5cb6c95ef194c737392ef7e476a
+from extra.utils import download_file
+from pathlib import Path
+from tqdm import tqdm
+import tarfile, os
+
+def imagenet_extract(file, path, small=False):
+  with tarfile.open(name=file) as tar:
+    if small: # Show progressbar only for big files
+      for member in tar.getmembers(): tar.extract(path=path, member=member)
+    else:
+      for member in tqdm(iterable=tar.getmembers(), total=len(tar.getmembers())): tar.extract(path=path, member=member)
+    tar.close()
+
+def imagenet_prepare_val():
+  # Read in the labels file
+  with open(Path(__file__).parent.parent / "datasets/imagenet/imagenet_2012_validation_synset_labels.txt", 'r') as f:
+    labels = f.read().splitlines()
+  f.close()
+  # Get a list of images
+  images = os.listdir(Path(__file__).parent.parent / "datasets/imagenet/val")
+  images.sort()
+  # Create folders and move files into those
+  for co,dir in enumerate(labels):
+    os.makedirs(Path(__file__).parent.parent / "datasets/imagenet/val" / dir, exist_ok=True)
+    os.replace(Path(__file__).parent.parent / "datasets/imagenet/val" / images[co], Path(__file__).parent.parent / "datasets/imagenet/val" / dir / images[co], exist_ok=True)
+  os.remove(Path(__file__).parent.parent / "datasets/imagenet/imagenet_2012_validation_synset_labels.txt")
+
+def imagenet_prepare_train():
+  images = os.listdir(Path(__file__).parent.parent / "datasets/imagenet/train")
+  for co,tarf in enumerate(images):
+    # for each tar file found. Create a folder with its name. Extract into that folder. Remove tar file
+    if Path(Path(__file__).parent.parent / "datasets/imagenet/train" / images[co]).is_file():
+      images[co] = tarf[:-4] # remove .tar from extracted tar files
+      os.makedirs(Path(__file__).parent.parent / "datasets/imagenet/train" / images[co], exist_ok=True)
+      imagenet_extract(Path(__file__).parent.parent / "datasets/imagenet/train" / tarf, Path(__file__).parent.parent / "datasets/imagenet/train" / images[co], small=True)
+      os.remove(Path(__file__).parent.parent / "datasets/imagenet/train" / tarf)
+
+if __name__ == "__main__":
+  os.makedirs(Path(__file__).parent.parent / "datasets/imagenet", exist_ok=True)
+  os.makedirs(Path(__file__).parent.parent / "datasets/imagenet/val", exist_ok=True)
+  os.makedirs(Path(__file__).parent.parent / "datasets/imagenet/train", exist_ok=True)
+  download_file("https://raw.githubusercontent.com/raghakot/keras-vis/master/resources/imagenet_class_index.json", Path(__file__).parent.parent / "datasets/imagenet/imagenet_class_index.json")
+  download_file("https://raw.githubusercontent.com/tensorflow/models/master/research/slim/datasets/imagenet_2012_validation_synset_labels.txt", Path(__file__).parent.parent / "datasets/imagenet/imagenet_2012_validation_synset_labels.txt")
+  download_file("https://image-net.org/data/ILSVRC/2012/ILSVRC2012_img_val.tar", Path(__file__).parent.parent / "datasets/imagenet/ILSVRC2012_img_val.tar") # 7GB
+  imagenet_extract(Path(__file__).parent.parent / "datasets/imagenet/ILSVRC2012_img_val.tar", Path(__file__).parent.parent / "datasets/imagenet/val")
+  imagenet_prepare_val()
+  if os.getenv['IMGNET_TRAIN'] is not None:
+    download_file("https://image-net.org/data/ILSVRC/2012/ILSVRC2012_img_train.tar", Path(__file__).parent.parent / "datasets/imagenet/ILSVRC2012_img_train.tar") #138GB!
+    imagenet_extract(Path(__file__).parent.parent / "datasets/imagenet/ILSVRC2012_img_train.tar", Path(__file__).parent.parent / "datasets/imagenet/train")
+    imagenet_prepare_train()
diff --git a/docs/env_vars.md b/docs/env_vars.md
index e1cdbd27..790eed06 100644
--- a/docs/env_vars.md
+++ b/docs/env_vars.md
@@ -184,3 +184,9 @@ CI | [1] | disables some tests for CI
 Variable | Possible Value(s) | Description
 ---|---|---
 BS | [8, 16, 32, 64, 128] | batch size to use
+
+### datasets/imagenet_download.py
+
+Variable | Possible Value(s) | Description
+---|---|---
+IMGNET_TRAIN | [1] | download also training data with imagenet