Update README.md

README.md

@@ -100,7 +100,7 @@ Each sample in the dataset is a dictionary containing pre-formatted, multi-dimen
 * **`dem`**: `(1, 128, 128)` — Float32
 * **`thermal_inertial`**: `(1, 128, 128)` — Float32
 * **`grayscale`**: `(1, 128, 128)` — Float32
-* **`label`**: `(1, 128, 128)` — Float32 (Segmentation Mask)
+* **`label`**: `(128, 128)` — Float32 (Segmentation Mask)
 
 ## Quickstart (PyTorch)
 
@@ -123,7 +123,7 @@ print("RGB shape:", sample["rgb"].shape)                 # Expected: torch.Size(
 print("DEM shape:", sample["dem"].shape)                 # Expected: torch.Size([1, 128, 128])
 print("Thermal shape:", sample["thermal_inertial"].shape)# Expected: torch.Size([1, 128, 128])
 print("Grayscale shape:", sample["grayscale"].shape)     # Expected: torch.Size([1, 128, 128])
-print("Label shape:", sample["label"].shape)             # Expected: torch.Size([1, 128, 128])
+print("Label shape:", sample["label"].shape)             # Expected: torch.Size([128, 128])
 ```
 
 ## References