diff --git a/R/dataset-pascal.R b/R/dataset-pascal.R
index f7c0b4dc..310f4872 100644
--- a/R/dataset-pascal.R
+++ b/R/dataset-pascal.R
@@ -11,6 +11,16 @@
 #' The dataset defines 21 semantic classes: `"background"`, `"aeroplane"`, `"bicycle"`, `"bird"`, `"boat"`, `"bottle"`, `"bus"`, `"car"`, `"cat"`, `"chair"`,
 #' `"cow"`, `"dining table"`, `"dog"`, `"horse"`, `"motorbike"`, `"person"`, `"potted plant"`, `"sheep"`, `"sofa"`, `"train"`, and `"tv/monitor"`.
 #' They are available through the `classes` variable of the dataset object.
+#' @export
+pascal_voc_classes <- function() {
+  c(
+    "background", "aeroplane", "bicycle", "bird", "boat", "bottle",
+    "bus", "car", "cat", "chair", "cow", "dining table", "dog", "horse",
+    "motorbike", "person", "potted plant", "sheep", "sofa", "train", "tv/monitor"
+  )
+}
+#' @export
+voc_classes <- pascal_voc_classes
 #'
 #' This dataset is frequently used for training and evaluating semantic segmentation models, and supports tasks requiring dense, per-pixel annotations.
 #'
@@ -96,12 +106,7 @@ pascal_segmentation_dataset <- torch::dataset(
             "6cd6e144f989b92b3379bac3b3de84fd"),
     size = c("440 MB", "440 MB", "550 MB", "890 MB", "1.3 GB", "1.7 GB", "1.9 GB")
   ),
-  classes = c(
-    "background", "aeroplane", "bicycle", "bird", "boat",
-    "bottle", "bus", "car", "cat", "chair",
-    "cow", "dining table", "dog", "horse", "motorbike",
-    "person", "potted plant", "sheep", "sofa", "train",
-    "tv/monitor"
+  classes = pascal_voc_classes()
   ),
   voc_colormap = c(
     c(0, 0, 0), c(128, 0, 0), c(0, 128, 0), c(128, 128, 0),
diff --git a/R/models-deeplabv3.R b/R/models-deeplabv3.R
index 6a394843..bfc3a022 100644
--- a/R/models-deeplabv3.R
+++ b/R/models-deeplabv3.R
@@ -98,24 +98,24 @@ deeplabv3_model_urls <- list(
 #' @return A character vector with the PASCAL VOC class names
 #' @family class_resolution
 #' @export
-voc_classes <- c(
+pascal_voc_classes <- c(
   "background", "aeroplane", "bicycle", "bird", "boat", "bottle",
   "bus", "car", "cat", "chair", "cow", "dining table", "dog", "horse",
   "motorbike", "person", "potted plant", "sheep", "sofa", "train", "tv/monitor"
 )
 
-#' @rdname voc_classes
+#' @rdname pascal_voc_classes
 #' @param id Integer vector of 1-based class identifiers.
 #' @return A character vector with the labels associated with `id`.
 #' @family class_resolution
 #' @export
 voc_label <- function(id) {
-  voc_classes[id]
+ pascal_voc_classes[id]
 }
 
 deeplabv3_meta <- list(
-  classes = voc_classes,
-  class_to_idx = setNames(seq_along(voc_classes) - 1, voc_classes)
+  classes = pascal_voc_classes(),
+  class_to_idx = setNames(seq_along(pascal_voc_classes()) - 1, pascal_voc_classes())
 )