diff --git a/mapswipe_workers/mapswipe_workers/utils/process_mapillary.py b/mapswipe_workers/mapswipe_workers/utils/process_mapillary.py
index f8db99cc..54afc2be 100644
--- a/mapswipe_workers/mapswipe_workers/utils/process_mapillary.py
+++ b/mapswipe_workers/mapswipe_workers/utils/process_mapillary.py
@@ -229,13 +229,14 @@ def get_image_metadata(
         raise CustomError(
             "No Mapillary Features in the AoI or no Features match the filter criteria."
         )
-    downloaded_metadata = downloaded_metadata.drop_duplicates(subset=["geometry"])
     if sampling_threshold is not None:
         downloaded_metadata = spatial_sampling(downloaded_metadata, sampling_threshold)
 
     if randomize_order is True:
         downloaded_metadata = downloaded_metadata.sample(frac=1).reset_index(drop=True)
 
+    downloaded_metadata = downloaded_metadata.drop_duplicates(subset=["geometry"])
+
     total_images = len(downloaded_metadata)
     if total_images > 100000:
         raise CustomError(
diff --git a/mapswipe_workers/mapswipe_workers/utils/spatial_sampling.py b/mapswipe_workers/mapswipe_workers/utils/spatial_sampling.py
index 97302b94..67f35c7e 100644
--- a/mapswipe_workers/mapswipe_workers/utils/spatial_sampling.py
+++ b/mapswipe_workers/mapswipe_workers/utils/spatial_sampling.py
@@ -143,6 +143,10 @@ def spatial_sampling(df, interval_length):
 
         if interval_length:
             sequence_df = filter_points(sequence_df, interval_length)
+        if "is_pano" in sequence_df.columns:
+            # below line prevents FutureWarning
+            # (https://stackoverflow.com/questions/73800841/add-series-as-a-new-row-into-dataframe-triggers-futurewarning)
+            sequence_df["is_pano"] = sequence_df["is_pano"].astype(bool)
         sampled_sequence_df = pd.concat([sampled_sequence_df, sequence_df], axis=0)
 
     # reverse order such that sequence are in direction of travel