remove explicit super call

Author: brandon-wada

src/groundlight/experimental_api.py

@@ -631,79 +631,6 @@ def update_detector_name(self, detector: Union[str, Detector], name: str) -> Non
             detector = detector.id
         self.detectors_api.update_detector(detector, patched_detector_request=PatchedDetectorRequest(name=name))
 
-    def create_bounding_box_detector(  # noqa: PLR0913 # pylint: disable=too-many-arguments, too-many-locals
-        self,
-        name: str,
-        query: str,
-        class_name: str,
-        *,
-        max_num_bboxes: Optional[int] = None,
-        group_name: Optional[str] = None,
-        confidence_threshold: Optional[float] = None,
-        patience_time: Optional[float] = None,
-        pipeline_config: Optional[str] = None,
-        metadata: Union[dict, str, None] = None,
-        priming_group_id: Optional[str] = None,
-    ) -> Detector:
-        """
-        Creates a bounding box detector that can detect objects in images up to a specified maximum number of bounding
-        boxes.
-
-        This method is now available in the base Groundlight class and is maintained here for backward compatibility.
-
-        **Example usage**::
-
-            gl = ExperimentalApi()
-
-            # Create a detector that counts people up to 5
-            detector = gl.create_bounding_box_detector(
-                name="people_counter",
-                query="Draw a bounding box around each person in the image",
-                class_name="person",
-                max_num_bboxes=5,
-                confidence_threshold=0.9,
-                patience_time=30.0
-            )
-
-            # Use the detector to find people in an image
-            image_query = gl.ask_ml(detector, "path/to/image.jpg")
-            print(f"Confidence: {image_query.result.confidence}")
-            print(f"Label: {image_query.result.label}")
-            print(f"Bounding boxes: {image_query.rois}")
-
-        :param name: A short, descriptive name for the detector.
-        :param query: A question about the object to detect in the image.
-        :param class_name: The class name of the object to detect.
-        :param max_num_bboxes: Maximum number of bounding boxes to detect (default: 10)
-        :param group_name: Optional name of a group to organize related detectors together.
-        :param confidence_threshold: A value that sets the minimum confidence level required for the ML model's
-                            predictions. If confidence is below this threshold, the query may be sent for human review.
-        :param patience_time: The maximum time in seconds that Groundlight will attempt to generate a
-                            confident prediction before falling back to human review. Defaults to 30 seconds.
-        :param pipeline_config: Advanced usage only. Configuration string needed to instantiate a specific
-                              prediction pipeline for this detector.
-        :param metadata: A dictionary or JSON string containing custom key/value pairs to associate with
-                        the detector (limited to 1KB). This metadata can be used to store additional
-                        information like location, purpose, or related system IDs. You can retrieve this
-                        metadata later by calling `get_detector()`.
-        :param priming_group_id: Optional ID of an existing PrimingGroup to associate with this detector.
-
-        :return: The created Detector object
-        """
-        # Delegate to the parent class implementation
-        return super().create_bounding_box_detector(
-            name=name,
-            query=query,
-            class_name=class_name,
-            max_num_bboxes=max_num_bboxes,
-            group_name=group_name,
-            confidence_threshold=confidence_threshold,
-            patience_time=patience_time,
-            pipeline_config=pipeline_config,
-            metadata=metadata,
-            priming_group_id=priming_group_id,
-        )
-
     def create_text_recognition_detector(  # noqa: PLR0913 # pylint: disable=too-many-arguments, too-many-locals
         self,
         name: str,