diff --git a/src/cleanvision/dataset/fsspec_dataset.py b/src/cleanvision/dataset/fsspec_dataset.py
index 942dd05b..ad70104f 100644
--- a/src/cleanvision/dataset/fsspec_dataset.py
+++ b/src/cleanvision/dataset/fsspec_dataset.py
@@ -2,7 +2,7 @@
 
 from typing import List, Optional, Union, Dict
 
-from PIL import Image
+from PIL import Image, UnidentifiedImageError
 
 from cleanvision.utils.constants import IMAGE_FILE_EXTENSIONS
 from cleanvision.dataset.base_dataset import Dataset
@@ -82,6 +82,18 @@ def __get_filepaths(self, dataset_path: str, verbose: bool) -> List[str]:
                     continue
                 filepaths += filetype_images
         unique_filepaths = list(set(filepaths))
+        valid_filepaths = []
+        for idx, path in enumerate(unique_filepaths):
+            try:
+                with self.fs.open(path, "rb", **self.storage_opts) as f:
+                    img = Image.open(f)
+                    img.verify()   # integrity check (no pixel decode)
+                valid_filepaths.append(path)
+                del img
+            except (UnidentifiedImageError, OSError, ValueError):
+                # silently drop corrupt images
+                if verbose:
+                    print(f"Skipping corrupted image: {path}")
         return sorted(
-            unique_filepaths
+            valid_filepaths
         )  # sort image names alphabetically and numerically
diff --git a/src/cleanvision/dataset/torch_dataset.py b/src/cleanvision/dataset/torch_dataset.py
index 8e8b7973..d63ad4c7 100644
--- a/src/cleanvision/dataset/torch_dataset.py
+++ b/src/cleanvision/dataset/torch_dataset.py
@@ -2,7 +2,7 @@
 
 from typing import TYPE_CHECKING, Union
 
-from PIL import Image
+from PIL import Image, UnidentifiedImageError
 
 from cleanvision.dataset.base_dataset import Dataset
 
@@ -17,9 +17,14 @@ def __init__(self, torch_dataset: "VisionDataset") -> None:
         super().__init__()
         self._data = torch_dataset
         # todo: catch errors
+        self._image_idx = None
         for i, obj in enumerate(torch_dataset[0]):
             if isinstance(obj, Image.Image):
                 self._image_idx = i
+
+        if self._image_idx is None:
+            raise ValueError("No PIL image found in torchvision dataset sample")
+
         self._set_index()
 
     def __len__(self) -> int:
@@ -32,4 +37,15 @@ def get_name(self, index: Union[int, str]) -> str:
         return f"idx: {index}"
 
     def _set_index(self) -> None:
-        self.index = [i for i in range(len(self._data))]
+        valid_indices = []
+        for i in range(len(self._data)):
+            try:
+                img = self._data[i][self._image_idx]
+                if not isinstance(img, Image.Image):
+                    raise UnidentifiedImageError
+                valid_indices.append(i)
+            except (UnidentifiedImageError, OSError, ValueError, TypeError):
+                print(f"Warning: Skipping corrupted image at index {i}")
+                continue
+        # self.index = [i for i in range(len(self._data))]
+        self.index = valid_indices