def label_image(
        self,
        parent,
        basic_config,
        feature,
        image_classification_config=None,
        bounding_poly_config=None,
        polyline_config=None,
        segmentation_config=None,
        retry=google.api_core.gapic_v1.method.DEFAULT,
        timeout=google.api_core.gapic_v1.method.DEFAULT,
        metadata=None,
    ):
        """
        Starts a labeling task for image. The type of image labeling task is
        configured by feature in the request.

        Example:
            >>> from google.cloud import datalabeling_v1beta1
            >>> from google.cloud.datalabeling_v1beta1 import enums
            >>>
            >>> client = datalabeling_v1beta1.DataLabelingServiceClient()
            >>>
            >>> parent = client.dataset_path('[PROJECT]', '[DATASET]')
            >>>
            >>> # TODO: Initialize `basic_config`:
            >>> basic_config = {}
            >>>
            >>> # TODO: Initialize `feature`:
            >>> feature = enums.LabelImageRequest.Feature.FEATURE_UNSPECIFIED
            >>>
            >>> response = client.label_image(parent, basic_config, feature)
            >>>
            >>> def callback(operation_future):
            ...     # Handle result.
            ...     result = operation_future.result()
            >>>
            >>> response.add_done_callback(callback)
            >>>
            >>> # Handle metadata.
            >>> metadata = response.metadata()

        Args:
            parent (str): Required. Name of the dataset to request labeling task, format:
                projects/{project\_id}/datasets/{dataset\_id}
            basic_config (Union[dict, ~google.cloud.datalabeling_v1beta1.types.HumanAnnotationConfig]): Required. Basic human annotation config.

                If a dict is provided, it must be of the same form as the protobuf
                message :class:`~google.cloud.datalabeling_v1beta1.types.HumanAnnotationConfig`
            feature (~google.cloud.datalabeling_v1beta1.types.Feature): Required. The type of image labeling task.
            image_classification_config (Union[dict, ~google.cloud.datalabeling_v1beta1.types.ImageClassificationConfig]): Configuration for image classification task. One of
                image\_classification\_config, bounding\_poly\_config, polyline\_config
                and segmentation\_config is required.

                If a dict is provided, it must be of the same form as the protobuf
                message :class:`~google.cloud.datalabeling_v1beta1.types.ImageClassificationConfig`
            bounding_poly_config (Union[dict, ~google.cloud.datalabeling_v1beta1.types.BoundingPolyConfig]): Configuration for bounding box and bounding poly task. One of
                image\_classification\_config, bounding\_poly\_config, polyline\_config
                and segmentation\_config is required.

                If a dict is provided, it must be of the same form as the protobuf
                message :class:`~google.cloud.datalabeling_v1beta1.types.BoundingPolyConfig`
            polyline_config (Union[dict, ~google.cloud.datalabeling_v1beta1.types.PolylineConfig]): Configuration for polyline task. One of image\_classification\_config,
                bounding\_poly\_config, polyline\_config and segmentation\_config is
                required.

                If a dict is provided, it must be of the same form as the protobuf
                message :class:`~google.cloud.datalabeling_v1beta1.types.PolylineConfig`
            segmentation_config (Union[dict, ~google.cloud.datalabeling_v1beta1.types.SegmentationConfig]): Configuration for segmentation task. One of
                image\_classification\_config, bounding\_poly\_config, polyline\_config
                and segmentation\_config is required.

                If a dict is provided, it must be of the same form as the protobuf
                message :class:`~google.cloud.datalabeling_v1beta1.types.SegmentationConfig`
            retry (Optional[google.api_core.retry.Retry]):  A retry object used
                to retry requests. If ``None`` is specified, requests will not
                be retried.
            timeout (Optional[float]): The amount of time, in seconds, to wait
                for the request to complete. Note that if ``retry`` is
                specified, the timeout applies to each individual attempt.
            metadata (Optional[Sequence[Tuple[str, str]]]): Additional metadata
                that is provided to the method.

        Returns:
            A :class:`~google.cloud.datalabeling_v1beta1.types._OperationFuture` instance.

        Raises:
            google.api_core.exceptions.GoogleAPICallError: If the request
                    failed for any reason.
            google.api_core.exceptions.RetryError: If the request failed due
                    to a retryable error and retry attempts failed.
            ValueError: If the parameters are invalid.
        """
        # Wrap the transport method to add retry and timeout logic.
        if "label_image" not in self._inner_api_calls:
            self._inner_api_calls[
                "label_image"
            ] = google.api_core.gapic_v1.method.wrap_method(
                self.transport.label_image,
                default_retry=self._method_configs["LabelImage"].retry,
                default_timeout=self._method_configs["LabelImage"].timeout,
                client_info=self._client_info,
            )

        # Sanity check: We have some fields which are mutually exclusive;
        # raise ValueError if more than one is sent.
        google.api_core.protobuf_helpers.check_oneof(
            image_classification_config=image_classification_config,
            bounding_poly_config=bounding_poly_config,
            polyline_config=polyline_config,
            segmentation_config=segmentation_config,
        )

        request = data_labeling_service_pb2.LabelImageRequest(
            parent=parent,
            basic_config=basic_config,
            feature=feature,
            image_classification_config=image_classification_config,
            bounding_poly_config=bounding_poly_config,
            polyline_config=polyline_config,
            segmentation_config=segmentation_config,
        )
        if metadata is None:
            metadata = []
        metadata = list(metadata)
        try:
            routing_header = [("parent", parent)]
        except AttributeError:
            pass
        else:
            routing_metadata = google.api_core.gapic_v1.routing_header.to_grpc_metadata(
                routing_header
            )
            metadata.append(routing_metadata)

        operation = self._inner_api_calls["label_image"](
            request, retry=retry, timeout=timeout, metadata=metadata
        )
        return google.api_core.operation.from_gapic(
            operation,
            self.transport._operations_client,
            dataset_pb2.AnnotatedDataset,
            metadata_type=proto_operations_pb2.LabelOperationMetadata,
        )
Starts a labeling task for image. The type of image labeling task is
        configured by feature in the request.

        Example:
            >>> from google.cloud import datalabeling_v1beta1
            >>> from google.cloud.datalabeling_v1beta1 import enums
            >>>
            >>> client = datalabeling_v1beta1.DataLabelingServiceClient()
            >>>
            >>> parent = client.dataset_path('[PROJECT]', '[DATASET]')
            >>>
            >>> # TODO: Initialize `basic_config`:
            >>> basic_config = {}
            >>>
            >>> # TODO: Initialize `feature`:
            >>> feature = enums.LabelImageRequest.Feature.FEATURE_UNSPECIFIED
            >>>
            >>> response = client.label_image(parent, basic_config, feature)
            >>>
            >>> def callback(operation_future):
            ...     # Handle result.
            ...     result = operation_future.result()
            >>>
            >>> response.add_done_callback(callback)
            >>>
            >>> # Handle metadata.
            >>> metadata = response.metadata()

        Args:
            parent (str): Required. Name of the dataset to request labeling task, format:
                projects/{project\_id}/datasets/{dataset\_id}
            basic_config (Union[dict, ~google.cloud.datalabeling_v1beta1.types.HumanAnnotationConfig]): Required. Basic human annotation config.

                If a dict is provided, it must be of the same form as the protobuf
                message :class:`~google.cloud.datalabeling_v1beta1.types.HumanAnnotationConfig`
            feature (~google.cloud.datalabeling_v1beta1.types.Feature): Required. The type of image labeling task.
            image_classification_config (Union[dict, ~google.cloud.datalabeling_v1beta1.types.ImageClassificationConfig]): Configuration for image classification task. One of
                image\_classification\_config, bounding\_poly\_config, polyline\_config
                and segmentation\_config is required.

                If a dict is provided, it must be of the same form as the protobuf
                message :class:`~google.cloud.datalabeling_v1beta1.types.ImageClassificationConfig`
            bounding_poly_config (Union[dict, ~google.cloud.datalabeling_v1beta1.types.BoundingPolyConfig]): Configuration for bounding box and bounding poly task. One of
                image\_classification\_config, bounding\_poly\_config, polyline\_config
                and segmentation\_config is required.

                If a dict is provided, it must be of the same form as the protobuf
                message :class:`~google.cloud.datalabeling_v1beta1.types.BoundingPolyConfig`
            polyline_config (Union[dict, ~google.cloud.datalabeling_v1beta1.types.PolylineConfig]): Configuration for polyline task. One of image\_classification\_config,
                bounding\_poly\_config, polyline\_config and segmentation\_config is
                required.

                If a dict is provided, it must be of the same form as the protobuf
                message :class:`~google.cloud.datalabeling_v1beta1.types.PolylineConfig`
            segmentation_config (Union[dict, ~google.cloud.datalabeling_v1beta1.types.SegmentationConfig]): Configuration for segmentation task. One of
                image\_classification\_config, bounding\_poly\_config, polyline\_config
                and segmentation\_config is required.

                If a dict is provided, it must be of the same form as the protobuf
                message :class:`~google.cloud.datalabeling_v1beta1.types.SegmentationConfig`
            retry (Optional[google.api_core.retry.Retry]):  A retry object used
                to retry requests. If ``None`` is specified, requests will not
                be retried.
            timeout (Optional[float]): The amount of time, in seconds, to wait
                for the request to complete. Note that if ``retry`` is
                specified, the timeout applies to each individual attempt.
            metadata (Optional[Sequence[Tuple[str, str]]]): Additional metadata
                that is provided to the method.

        Returns:
            A :class:`~google.cloud.datalabeling_v1beta1.types._OperationFuture` instance.

        Raises:
            google.api_core.exceptions.GoogleAPICallError: If the request
                    failed for any reason.
            google.api_core.exceptions.RetryError: If the request failed due
                    to a retryable error and retry attempts failed.
            ValueError: If the parameters are invalid.