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+// Copyright 2019 Google LLC.
+//
+// Licensed under the Apache License, Version 2.0 (the "License");
+// you may not use this file except in compliance with the License.
+// You may obtain a copy of the License at
+//
+// http://www.apache.org/licenses/LICENSE-2.0
+//
+// Unless required by applicable law or agreed to in writing, software
+// distributed under the License is distributed on an "AS IS" BASIS,
+// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+// See the License for the specific language governing permissions and
+// limitations under the License.
+//
+
+syntax = "proto3";
+
+package google.cloud.datalabeling.v1beta1;
+
+import "google/api/resource.proto";
+import "google/cloud/datalabeling/v1beta1/annotation.proto";
+import "google/cloud/datalabeling/v1beta1/annotation_spec_set.proto";
+import "google/cloud/datalabeling/v1beta1/data_payloads.proto";
+import "google/cloud/datalabeling/v1beta1/human_annotation_config.proto";
+import "google/protobuf/timestamp.proto";
+
+option csharp_namespace = "Google.Cloud.DataLabeling.V1Beta1";
+option go_package = "google.golang.org/genproto/googleapis/cloud/datalabeling/v1beta1;datalabeling";
+option java_multiple_files = true;
+option java_package = "com.google.cloud.datalabeling.v1beta1";
+option php_namespace = "Google\\Cloud\\DataLabeling\\V1beta1";
+option ruby_package = "Google::Cloud::DataLabeling::V1beta1";
+
+enum DataType {
+ DATA_TYPE_UNSPECIFIED = 0;
+
+ // Allowed for continuous evaluation.
+ IMAGE = 1;
+
+ VIDEO = 2;
+
+ // Allowed for continuous evaluation.
+ TEXT = 4;
+
+ // Allowed for continuous evaluation.
+ GENERAL_DATA = 6;
+}
+
+// Dataset is the resource to hold your data. You can request multiple labeling
+// tasks for a dataset while each one will generate an AnnotatedDataset.
+message Dataset {
+ option (google.api.resource) = {
+ type: "datalabeling.googleapis.com/Dataset"
+ pattern: "projects/{project}/datasets/{dataset}"
+ };
+
+ // Output only. Dataset resource name, format is:
+ // projects/{project_id}/datasets/{dataset_id}
+ string name = 1;
+
+ // Required. The display name of the dataset. Maximum of 64 characters.
+ string display_name = 2;
+
+ // Optional. User-provided description of the annotation specification set.
+ // The description can be up to 10000 characters long.
+ string description = 3;
+
+ // Output only. Time the dataset is created.
+ google.protobuf.Timestamp create_time = 4;
+
+ // Output only. This is populated with the original input configs
+ // where ImportData is called. It is available only after the clients
+ // import data to this dataset.
+ repeated InputConfig input_configs = 5;
+
+ // Output only. The names of any related resources that are blocking changes
+ // to the dataset.
+ repeated string blocking_resources = 6;
+
+ // Output only. The number of data items in the dataset.
+ int64 data_item_count = 7;
+}
+
+// The configuration of input data, including data type, location, etc.
+message InputConfig {
+ // Optional. The metadata associated with each data type.
+ oneof data_type_metadata {
+ // Required for text import, as language code must be specified.
+ TextMetadata text_metadata = 6;
+ }
+
+ // Required. Where the data is from.
+ oneof source {
+ // Source located in Cloud Storage.
+ GcsSource gcs_source = 2;
+
+ // Source located in BigQuery. You must specify this field if you are using
+ // this InputConfig in an [EvaluationJob][google.cloud.datalabeling.v1beta1.EvaluationJob].
+ BigQuerySource bigquery_source = 5;
+ }
+
+ // Required. Data type must be specifed when user tries to import data.
+ DataType data_type = 1;
+
+ // Optional. The type of annotation to be performed on this data. You must
+ // specify this field if you are using this InputConfig in an
+ // [EvaluationJob][google.cloud.datalabeling.v1beta1.EvaluationJob].
+ AnnotationType annotation_type = 3;
+
+ // Optional. Metadata about annotations for the input. You must specify this
+ // field if you are using this InputConfig in an [EvaluationJob][google.cloud.datalabeling.v1beta1.EvaluationJob] for a
+ // model version that performs classification.
+ ClassificationMetadata classification_metadata = 4;
+}
+
+// Metadata for the text.
+message TextMetadata {
+ // The language of this text, as a
+ // [BCP-47](https://www.rfc-editor.org/rfc/bcp/bcp47.txt).
+ // Default value is en-US.
+ string language_code = 1;
+}
+
+// Metadata for classification annotations.
+message ClassificationMetadata {
+ // Whether the classification task is multi-label or not.
+ bool is_multi_label = 1;
+}
+
+// Source of the Cloud Storage file to be imported.
+message GcsSource {
+ // Required. The input URI of source file. This must be a Cloud Storage path
+ // (`gs://...`).
+ string input_uri = 1;
+
+ // Required. The format of the source file. Only "text/csv" is supported.
+ string mime_type = 2;
+}
+
+// The BigQuery location for input data. If used in an [EvaluationJob][google.cloud.datalabeling.v1beta1.EvaluationJob], this
+// is where the service saves the prediction input and output sampled from the
+// model version.
+message BigQuerySource {
+ // Required. BigQuery URI to a table, up to 2,000 characters long. If you
+ // specify the URI of a table that does not exist, Data Labeling Service
+ // creates a table at the URI with the correct schema when you create your
+ // [EvaluationJob][google.cloud.datalabeling.v1beta1.EvaluationJob]. If you specify the URI of a table that already exists,
+ // it must have the
+ // [correct
+ // schema](/ml-engine/docs/continuous-evaluation/create-job#table-schema).
+ //
+ // Provide the table URI in the following format:
+ //
+ // "bq://<var>{your_project_id}</var>/<var>{your_dataset_name}</var>/<var>{your_table_name}</var>"
+ //
+ // [Learn
+ // more](/ml-engine/docs/continuous-evaluation/create-job#table-schema).
+ string input_uri = 1;
+}
+
+// The configuration of output data.
+message OutputConfig {
+ // Required. Location to output data to.
+ oneof destination {
+ // Output to a file in Cloud Storage. Should be used for labeling output
+ // other than image segmentation.
+ GcsDestination gcs_destination = 1;
+
+ // Output to a folder in Cloud Storage. Should be used for image
+ // segmentation labeling output.
+ GcsFolderDestination gcs_folder_destination = 2;
+ }
+}
+
+// Export destination of the data.Only gcs path is allowed in
+// output_uri.
+message GcsDestination {
+ // Required. The output uri of destination file.
+ string output_uri = 1;
+
+ // Required. The format of the gcs destination. Only "text/csv" and
+ // "application/json"
+ // are supported.
+ string mime_type = 2;
+}
+
+// Export folder destination of the data.
+message GcsFolderDestination {
+ // Required. Cloud Storage directory to export data to.
+ string output_folder_uri = 1;
+}
+
+// DataItem is a piece of data, without annotation. For example, an image.
+message DataItem {
+ option (google.api.resource) = {
+ type: "datalabeling.googleapis.com/DataItem"
+ pattern: "projects/{project}/datasets/{dataset}/dataItems/{data_item}"
+ };
+
+ // Output only.
+ oneof payload {
+ // The image payload, a container of the image bytes/uri.
+ ImagePayload image_payload = 2;
+
+ // The text payload, a container of text content.
+ TextPayload text_payload = 3;
+
+ // The video payload, a container of the video uri.
+ VideoPayload video_payload = 4;
+ }
+
+ // Output only. Name of the data item, in format of:
+ // projects/{project_id}/datasets/{dataset_id}/dataItems/{data_item_id}
+ string name = 1;
+}
+
+// AnnotatedDataset is a set holding annotations for data in a Dataset. Each
+// labeling task will generate an AnnotatedDataset under the Dataset that the
+// task is requested for.
+message AnnotatedDataset {
+ option (google.api.resource) = {
+ type: "datalabeling.googleapis.com/AnnotatedDataset"
+ pattern: "projects/{project}/datasets/{dataset}/annotatedDatasets/{annotated_dataset}"
+ };
+
+ // Output only. AnnotatedDataset resource name in format of:
+ // projects/{project_id}/datasets/{dataset_id}/annotatedDatasets/
+ // {annotated_dataset_id}
+ string name = 1;
+
+ // Output only. The display name of the AnnotatedDataset. It is specified in
+ // HumanAnnotationConfig when user starts a labeling task. Maximum of 64
+ // characters.
+ string display_name = 2;
+
+ // Output only. The description of the AnnotatedDataset. It is specified in
+ // HumanAnnotationConfig when user starts a labeling task. Maximum of 10000
+ // characters.
+ string description = 9;
+
+ // Output only. Source of the annotation.
+ AnnotationSource annotation_source = 3;
+
+ // Output only. Type of the annotation. It is specified when starting labeling
+ // task.
+ AnnotationType annotation_type = 8;
+
+ // Output only. Number of examples in the annotated dataset.
+ int64 example_count = 4;
+
+ // Output only. Number of examples that have annotation in the annotated
+ // dataset.
+ int64 completed_example_count = 5;
+
+ // Output only. Per label statistics.
+ LabelStats label_stats = 6;
+
+ // Output only. Time the AnnotatedDataset was created.
+ google.protobuf.Timestamp create_time = 7;
+
+ // Output only. Additional information about AnnotatedDataset.
+ AnnotatedDatasetMetadata metadata = 10;
+
+ // Output only. The names of any related resources that are blocking changes
+ // to the annotated dataset.
+ repeated string blocking_resources = 11;
+}
+
+// Statistics about annotation specs.
+message LabelStats {
+ // Map of each annotation spec's example count. Key is the annotation spec
+ // name and value is the number of examples for that annotation spec.
+ // If the annotated dataset does not have annotation spec, the map will return
+ // a pair where the key is empty string and value is the total number of
+ // annotations.
+ map<string, int64> example_count = 1;
+}
+
+// Metadata on AnnotatedDataset.
+message AnnotatedDatasetMetadata {
+ // Specific request configuration used when requesting the labeling task.
+ oneof annotation_request_config {
+ // Configuration for image classification task.
+ ImageClassificationConfig image_classification_config = 2;
+
+ // Configuration for image bounding box and bounding poly task.
+ BoundingPolyConfig bounding_poly_config = 3;
+
+ // Configuration for image polyline task.
+ PolylineConfig polyline_config = 4;
+
+ // Configuration for image segmentation task.
+ SegmentationConfig segmentation_config = 5;
+
+ // Configuration for video classification task.
+ VideoClassificationConfig video_classification_config = 6;
+
+ // Configuration for video object detection task.
+ ObjectDetectionConfig object_detection_config = 7;
+
+ // Configuration for video object tracking task.
+ ObjectTrackingConfig object_tracking_config = 8;
+
+ // Configuration for video event labeling task.
+ EventConfig event_config = 9;
+
+ // Configuration for text classification task.
+ TextClassificationConfig text_classification_config = 10;
+
+ // Configuration for text entity extraction task.
+ TextEntityExtractionConfig text_entity_extraction_config = 11;
+ }
+
+ // HumanAnnotationConfig used when requesting the human labeling task for this
+ // AnnotatedDataset.
+ HumanAnnotationConfig human_annotation_config = 1;
+}
+
+// An Example is a piece of data and its annotation. For example, an image with
+// label "house".
+message Example {
+ option (google.api.resource) = {
+ type: "datalabeling.googleapis.com/Example"
+ pattern: "projects/{project}/datasets/{dataset}/annotatedDatasets/{annotated_dataset}/examples/{example}"
+ };
+
+ // Output only. The data part of Example.
+ oneof payload {
+ // The image payload, a container of the image bytes/uri.
+ ImagePayload image_payload = 2;
+
+ // The text payload, a container of the text content.
+ TextPayload text_payload = 6;
+
+ // The video payload, a container of the video uri.
+ VideoPayload video_payload = 7;
+ }
+
+ // Output only. Name of the example, in format of:
+ // projects/{project_id}/datasets/{dataset_id}/annotatedDatasets/
+ // {annotated_dataset_id}/examples/{example_id}
+ string name = 1;
+
+ // Output only. Annotations for the piece of data in Example.
+ // One piece of data can have multiple annotations.
+ repeated Annotation annotations = 5;
+}