diff --git a/supervision/__init__.py b/supervision/__init__.py
index 4d0e8284..4946ffdd 100644
--- a/supervision/__init__.py
+++ b/supervision/__init__.py
@@ -28,6 +28,7 @@ from supervision.annotators.core import (
     RoundBoxAnnotator,
     TraceAnnotator,
     TriangleAnnotator,
+    BackgroundColorAnnotator
 )
 from supervision.annotators.utils import ColorLookup
 from supervision.classification.core import Classifications
@@ -110,3 +111,5 @@ from supervision.utils.video import (
     get_video_frames_generator,
     process_video,
 )
+
+print('test!')
\ No newline at end of file
diff --git a/supervision/annotators/core.py b/supervision/annotators/core.py
index 6d34ae5c..341eb340 100644
--- a/supervision/annotators/core.py
+++ b/supervision/annotators/core.py
@@ -2259,3 +2259,80 @@ class CropAnnotator(BaseAnnotator):
             )
         elif position == Position.BOTTOM_RIGHT:
             return (anchor_x, anchor_y), (anchor_x + width, anchor_y + height)
+
+
+class BackgroundColorAnnotator(BaseAnnotator):
+    """
+    A class for drawing background colors outside of detected box or mask regions.
+
+    !!! warning
+
+        This annotator uses `sv.Detections.mask`.
+    """
+
+    def __init__(
+        self,
+        color: Color = Color.BLACK,
+        opacity: float = 0.5,
+        force_box: bool = False,
+    ):
+        """
+        Args:
+            color (Color): The color to use for annotating detections.
+            opacity (float): Opacity of the overlay mask. Must be between `0` and `1`.
+        """
+        self.color: Color = color
+        self.opacity = opacity
+        self.force_box = force_box
+
+    @ensure_cv2_image_for_annotation
+    def annotate(
+        self,
+        scene: ImageType,
+        detections: Detections
+    ) -> ImageType:
+        """
+        Annotates the given scene with masks based on the provided detections.
+
+        Args:
+            scene (ImageType): The image where masks will be drawn.
+                `ImageType` is a flexible type, accepting either `numpy.ndarray`
+                or `PIL.Image.Image`.
+            detections (Detections): Object detections to annotate.
+
+        Returns:
+            The annotated image, matching the type of `scene` (`numpy.ndarray`
+                or `PIL.Image.Image`)
+
+        Example:
+            ```python
+            import supervision as sv
+
+            image = ...
+            detections = sv.Detections(...)
+
+            background_color_annotator = sv.BackgroundColorAnnotator()
+            annotated_frame = background_color_annotator.annotate(
+                scene=image.copy(),
+                detections=detections
+            )
+            ```
+
+        ![background-color-annotator-example](https://media.roboflow.com/
+        supervision-annotator-examples/background-color-annotator-example-purple.png)
+        """
+
+        colored_mask = np.full_like(scene, self.color.as_bgr(), dtype=np.uint8)
+
+        cv2.addWeighted(scene, 1 - self.opacity, colored_mask, self.opacity, 0, dst=colored_mask)
+
+        if detections.mask is None or self.force_box:
+            for detection_idx in range(len(detections)):
+                x1, y1, x2, y2 = detections.xyxy[detection_idx].astype(int)
+                colored_mask[y1:y2, x1:x2] = scene[y1:y2, x1:x2]
+        else:
+            for mask in detections.mask:
+                colored_mask[mask] = scene[mask]
+
+        return colored_mask
+