Adds EuroSAT to the list of supported datasets

docs/source/datasets.rst

@@ -41,6 +41,7 @@ You can also create your own datasets using the provided :ref:`base classes <bas
     Country211
     DTD
     EMNIST
+    EuroSAT
     FakeData
     FashionMNIST
     FER2013

test/test_datasets.py

@@ -2169,6 +2169,27 @@ def inject_fake_data(self, tmpdir, config):
         return num_sequences * (num_examples_per_sequence - 1)
 
 
+class EuroSATTestCase(datasets_utils.ImageDatasetTestCase):
+    DATASET_CLASS = datasets.EuroSAT
+    FEATURE_TYPES = (PIL.Image.Image, int)
+
+    def inject_fake_data(self, tmpdir, config):
+        data_folder = os.path.join(tmpdir, "eurosat", "2750")
+        os.makedirs(data_folder)
+
+        num_examples_per_class = 3
+        classes = ("AnnualCrop", "Forest")
+        for cls in classes:
+            datasets_utils.create_image_folder(
+                root=data_folder,
+                name=cls,
+                file_name_fn=lambda idx: f"{cls}_{idx}.jpg",
+                num_examples=num_examples_per_class,
+            )
+
+        return len(classes) * num_examples_per_class
+
+
 class Food101TestCase(datasets_utils.ImageDatasetTestCase):
     DATASET_CLASS = datasets.Food101
     FEATURE_TYPES = (PIL.Image.Image, int)

torchvision/datasets/__init__.py

@@ -7,6 +7,7 @@
 from .coco import CocoCaptions, CocoDetection
 from .country211 import Country211
 from .dtd import DTD
+from .eurosat import EuroSAT
 from .fakedata import FakeData
 from .fer2013 import FER2013
 from .fgvc_aircraft import FGVCAircraft
@@ -98,4 +99,5 @@
     "OxfordIIITPet",
     "Country211",
     "FGVCAircraft",
+    "EuroSAT",
 )

torchvision/datasets/eurosat.py

@@ -0,0 +1,56 @@
+import os
+from typing import Any
+
+from .folder import ImageFolder
+from .utils import download_and_extract_archive
+
+
+class EuroSAT(ImageFolder):
+    """RGB version of the `EuroSAT <https://github.com/phelber/eurosat>`_ Dataset.
+
+    Args:
+        root (string): Root directory of dataset where ``root/eurosat`` exists.
+        download (bool, optional): If True, downloads the dataset from the internet and
+            puts it in root directory. If dataset is already downloaded, it is not
+            downloaded again. Default is False.
+        transform (callable, optional): A function/transform that  takes in an PIL image
+            and returns a transformed version. E.g, ``transforms.RandomCrop``
+        target_transform (callable, optional): A function/transform that takes in the
+            target and transforms it.
+    """
+
+    url = "https://madm.dfki.de/files/sentinel/EuroSAT.zip"
+    md5 = "c8fa014336c82ac7804f0398fcb19387"
+
+    def __init__(
+        self,
+        root: str,
+        download: bool = False,
+        **kwargs: Any,
+    ) -> None:
+        self.root = os.path.expanduser(root)
+        self._base_folder = os.path.join(self.root, "eurosat")
+        self._data_folder = os.path.join(self._base_folder, "2750")
+
+        if download:
+            self.download()
+
+        if not self._check_exists():
+            raise RuntimeError("Dataset not found. You can use download=True to download it")
+
+        super().__init__(self._data_folder, **kwargs)
+        self.root = os.path.expanduser(root)
+
+    def __len__(self) -> int:
+        return len(self.samples)
+
+    def _check_exists(self) -> bool:
+        return os.path.exists(self._data_folder)
+
+    def download(self) -> None:
+
+        if self._check_exists():
+            return
+
+        os.makedirs(self._base_folder, exist_ok=True)
+        download_and_extract_archive(self.url, download_root=self._base_folder, md5=self.md5)