Class AnnotationPayload (2.13.5)

Version 2.13.5

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AnnotationPayload(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Contains annotation information that is relevant to AutoML.

This message has oneof_ fields (mutually exclusive fields). For each oneof, at most one member field can be set at the same time. Setting any member of the oneof automatically clears all other members.

.. _oneof: https://proto-plus-python.readthedocs.io/en/stable/fields.html#oneofs-mutually-exclusive-fields

Attributes
Name	Description
translation	google.cloud.automl_v1beta1.types.TranslationAnnotation Annotation details for translation. This field is a member of oneof_ detail.
classification	google.cloud.automl_v1beta1.types.ClassificationAnnotation Annotation details for content or image classification. This field is a member of oneof_ detail.
image_object_detection	google.cloud.automl_v1beta1.types.ImageObjectDetectionAnnotation Annotation details for image object detection. This field is a member of oneof_ detail.
video_classification	google.cloud.automl_v1beta1.types.VideoClassificationAnnotation Annotation details for video classification. Returned for Video Classification predictions. This field is a member of oneof_ detail.
video_object_tracking	google.cloud.automl_v1beta1.types.VideoObjectTrackingAnnotation Annotation details for video object tracking. This field is a member of oneof_ detail.
text_extraction	google.cloud.automl_v1beta1.types.TextExtractionAnnotation Annotation details for text extraction. This field is a member of oneof_ detail.
text_sentiment	google.cloud.automl_v1beta1.types.TextSentimentAnnotation Annotation details for text sentiment. This field is a member of oneof_ detail.
tables	google.cloud.automl_v1beta1.types.TablesAnnotation Annotation details for Tables. This field is a member of oneof_ detail.
annotation_spec_id	str Output only . The resource ID of the annotation spec that this annotation pertains to. The annotation spec comes from either an ancestor dataset, or the dataset that was used to train the model in use.
display_name	str Output only. The value of display_name when the model was trained. Because this field returns a value at model training time, for different models trained using the same dataset, the returned value could be different as model owner could update the display_name between any two model training.