diff --git a/torchvision/models/segmentation/deeplabv3.py b/torchvision/models/segmentation/deeplabv3.py
index f58c5d26a66..a92ddfe3b7a 100644
--- a/torchvision/models/segmentation/deeplabv3.py
+++ b/torchvision/models/segmentation/deeplabv3.py
@@ -1,5 +1,5 @@
 from functools import partial
-from typing import Any, List, Optional
+from typing import Any, Optional, Sequence
 
 import torch
 from torch import nn
@@ -46,9 +46,9 @@ class DeepLabV3(_SimpleSegmentationModel):
 
 
 class DeepLabHead(nn.Sequential):
-    def __init__(self, in_channels: int, num_classes: int) -> None:
+    def __init__(self, in_channels: int, num_classes: int, atrous_rates: Sequence[int] = (12, 24, 36)) -> None:
         super().__init__(
-            ASPP(in_channels, [12, 24, 36]),
+            ASPP(in_channels, atrous_rates),
             nn.Conv2d(256, 256, 3, padding=1, bias=False),
             nn.BatchNorm2d(256),
             nn.ReLU(),
@@ -83,7 +83,7 @@ def forward(self, x: torch.Tensor) -> torch.Tensor:
 
 
 class ASPP(nn.Module):
-    def __init__(self, in_channels: int, atrous_rates: List[int], out_channels: int = 256) -> None:
+    def __init__(self, in_channels: int, atrous_rates: Sequence[int], out_channels: int = 256) -> None:
         super().__init__()
         modules = []
         modules.append(