diff --git a/gymnasium_wrapper/base_gymnasium_env.py b/gymnasium_wrapper/base_gymnasium_env.py
index d42c75723..4ac726196 100644
--- a/gymnasium_wrapper/base_gymnasium_env.py
+++ b/gymnasium_wrapper/base_gymnasium_env.py
@@ -56,6 +56,7 @@
 
 
 class VizdoomEnv(gym.Env, EzPickle):
+    observation_space: gym.spaces.Dict
     metadata = {
         "render_modes": ["human", "rgb_array"],
         "render_fps": vzd.DEFAULT_TICRATE,
diff --git a/gymnasium_wrapper/observation_wrappers.py b/gymnasium_wrapper/observation_wrappers.py
new file mode 100644
index 000000000..80b1e9e17
--- /dev/null
+++ b/gymnasium_wrapper/observation_wrappers.py
@@ -0,0 +1,125 @@
+"""
+Observation wrappers for ViZDoom Gymnasium environments.
+"""
+
+from types import MappingProxyType
+from typing import Any, Dict, Mapping, Optional, SupportsInt, cast
+
+import gymnasium as gym
+import numpy as np
+
+import vizdoom.vizdoom as vzd
+
+from .base_gymnasium_env import VizdoomEnv
+
+
+INVISIBLE_CATEGORIES = [
+    "Internal",
+    "ScriptThing",
+    "DynamicLight",
+    "Power",
+    "Token",
+    "MapSpot",
+]
+DEFAULT_CATEGORY_MAPPING = MappingProxyType(
+    {
+        # 1: Wall
+        "Wall": 1,
+        # 2: Progression / special pickups
+        "Key": 2,
+        "Artifact": 2,
+        "QuestItem": 2,
+        "PuzzleItem": 2,
+        # 3: Temporary power modifiers
+        "Powerup": 3,
+        # 4: Hazards / damage-causing objects
+        "Explosive": 4,
+        "Hazard": 4,
+        # 5: Transient visual/audio effects and remains
+        "SFX": 5,
+        "Gibs": 5,
+        "Gore": 5,
+        # 6: Static world props / scenery
+        "Vegetation": 6,
+        "Decoration": 6,
+        "LightSource": 6,
+        "Bridge": 6,
+        # 7: Interactive / destructible world objects
+        "Breakable": 7,
+        "InteractiveObject": 7,
+        # 8-10: Characters / agents
+        "Self": 8,
+        "Player": 9,
+        "Monster": 10,
+        # 11-12: Armor / health
+        "Armor": 11,
+        "Health": 12,
+        # 13: Ammo
+        "Ammo": 13,
+        # 14: Weapons
+        "Weapon": 14,
+    }
+)
+
+
+def _copy_category_label_mapping(
+    mapping: Any, is_category: bool = False
+) -> Mapping[str, int]:
+    if mapping is None:
+        return DEFAULT_CATEGORY_MAPPING if is_category else {}
+    if not isinstance(mapping, Mapping):
+        raise ValueError("Not a valid mapping")
+    if is_category:
+        unknown = set(mapping.keys()) - set(vzd.get_default_categories())
+        if unknown:
+            raise ValueError(f"Unknown categories: {sorted(unknown)}")
+    if not all(
+        isinstance(v, SupportsInt) and 0 <= int(v) <= 255 for v in mapping.values()
+    ):
+        raise ValueError("Label values must be unsigned 8-bit integer")
+    return dict(mapping)
+
+
+class SegmentationWrapper(gym.ObservationWrapper):
+    """Segmentation Wrapper"""
+
+    def __init__(
+        self,
+        env: VizdoomEnv,
+        category_mapping: Optional[Dict[str, int]] = None,
+        overrides: Optional[Dict[str, int]] = None,
+    ):
+        super().__init__(env)
+        if "labels" not in env.observation_space.spaces:
+            raise ValueError(
+                "SegmentationColormapWrapper requires a 'labels' observation; "
+                "set labels_buffer_enabled in the ViZDoom config."
+            )
+        self._category2label = _copy_category_label_mapping(
+            category_mapping, is_category=True
+        )
+        self._name2label = _copy_category_label_mapping(overrides, is_category=False)
+
+        h, w, _ = env.observation_space["labels"].shape
+        spaces = dict(env.observation_space.spaces)
+        spaces["segmentation"] = gym.spaces.Box(0, 255, (h, w), dtype=np.uint8)
+        self.observation_space = gym.spaces.Dict(spaces)
+        self.empty_obs = np.zeros((h, w), dtype=np.uint8)
+
+    def observation(self, observation: Dict[str, Any]):
+        state = cast(VizdoomEnv, self.env.unwrapped).state
+        if state is None:
+            return observation | {"segmentation": self.empty_obs.copy()}
+
+        labels_arr = np.zeros_like(state.labels_buffer)
+        wall_label = self._category2label.get("Wall")
+        if wall_label is not None:
+            labels_arr[state.labels_buffer == 1] = wall_label
+        for label in state.labels or []:
+            label_val = self._name2label.get(label.object_name)
+            if label_val is None:
+                label_val = self._category2label.get(label.object_category)
+            if label_val is not None:
+                labels_arr[state.labels_buffer == label.value] = label_val
+
+        return observation | {"segmentation": labels_arr}