// 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/annotations.proto"; import "google/api/field_behavior.proto"; import "google/protobuf/duration.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 StringAggregationType { STRING_AGGREGATION_TYPE_UNSPECIFIED = 0; // Majority vote to aggregate answers. MAJORITY_VOTE = 1; // Unanimous answers will be adopted. UNANIMOUS_VOTE = 2; // Preserve all answers by crowd compute. NO_AGGREGATION = 3; } // Configuration for how human labeling task should be done. message HumanAnnotationConfig { // Required. Instruction resource name. string instruction = 1 [(google.api.field_behavior) = REQUIRED]; // Required. A human-readable name for AnnotatedDataset defined by // users. Maximum of 64 characters // . string annotated_dataset_display_name = 2 [(google.api.field_behavior) = REQUIRED]; // Optional. A human-readable description for AnnotatedDataset. // The description can be up to 10000 characters long. string annotated_dataset_description = 3 [(google.api.field_behavior) = OPTIONAL]; // Optional. A human-readable label used to logically group labeling tasks. // This string must match the regular expression `[a-zA-Z\\d_-]{0,128}`. string label_group = 4 [(google.api.field_behavior) = OPTIONAL]; // Optional. The Language of this question, as a // [BCP-47](https://www.rfc-editor.org/rfc/bcp/bcp47.txt). // Default value is en-US. // Only need to set this when task is language related. For example, French // text classification. string language_code = 5 [(google.api.field_behavior) = OPTIONAL]; // Optional. Replication of questions. Each question will be sent to up to // this number of contributors to label. Aggregated answers will be returned. // Default is set to 1. // For image related labeling, valid values are 1, 3, 5. int32 replica_count = 6 [(google.api.field_behavior) = OPTIONAL]; // Optional. Maximum duration for contributors to answer a question. Maximum // is 3600 seconds. Default is 3600 seconds. google.protobuf.Duration question_duration = 7 [(google.api.field_behavior) = OPTIONAL]; // Optional. If you want your own labeling contributors to manage and work on // this labeling request, you can set these contributors here. We will give // them access to the question types in crowdcompute. Note that these // emails must be registered in crowdcompute worker UI: // https://crowd-compute.appspot.com/ repeated string contributor_emails = 9 [(google.api.field_behavior) = OPTIONAL]; // Email of the user who started the labeling task and should be notified by // email. If empty no notification will be sent. string user_email_address = 10; } // Config for image classification human labeling task. message ImageClassificationConfig { // Required. Annotation spec set resource name. string annotation_spec_set = 1 [(google.api.field_behavior) = REQUIRED]; // Optional. If allow_multi_label is true, contributors are able to choose // multiple labels for one image. bool allow_multi_label = 2 [(google.api.field_behavior) = OPTIONAL]; // Optional. The type of how to aggregate answers. StringAggregationType answer_aggregation_type = 3 [(google.api.field_behavior) = OPTIONAL]; } // Config for image bounding poly (and bounding box) human labeling task. message BoundingPolyConfig { // Required. Annotation spec set resource name. string annotation_spec_set = 1 [(google.api.field_behavior) = REQUIRED]; // Optional. Instruction message showed on contributors UI. string instruction_message = 2 [(google.api.field_behavior) = OPTIONAL]; } // Config for image polyline human labeling task. message PolylineConfig { // Required. Annotation spec set resource name. string annotation_spec_set = 1 [(google.api.field_behavior) = REQUIRED]; // Optional. Instruction message showed on contributors UI. string instruction_message = 2 [(google.api.field_behavior) = OPTIONAL]; } // Config for image segmentation message SegmentationConfig { // Required. Annotation spec set resource name. format: // projects/{project_id}/annotationSpecSets/{annotation_spec_set_id} string annotation_spec_set = 1 [(google.api.field_behavior) = REQUIRED]; // Instruction message showed on labelers UI. string instruction_message = 2; } // Config for video classification human labeling task. // Currently two types of video classification are supported: // 1. Assign labels on the entire video. // 2. Split the video into multiple video clips based on camera shot, and // assign labels on each video clip. message VideoClassificationConfig { // Annotation spec set with the setting of allowing multi labels or not. message AnnotationSpecSetConfig { // Required. Annotation spec set resource name. string annotation_spec_set = 1 [(google.api.field_behavior) = REQUIRED]; // Optional. If allow_multi_label is true, contributors are able to // choose multiple labels from one annotation spec set. bool allow_multi_label = 2 [(google.api.field_behavior) = OPTIONAL]; } // Required. The list of annotation spec set configs. // Since watching a video clip takes much longer time than an image, we // support label with multiple AnnotationSpecSet at the same time. Labels // in each AnnotationSpecSet will be shown in a group to contributors. // Contributors can select one or more (depending on whether to allow multi // label) from each group. repeated AnnotationSpecSetConfig annotation_spec_set_configs = 1 [(google.api.field_behavior) = REQUIRED]; // Optional. Option to apply shot detection on the video. bool apply_shot_detection = 2 [(google.api.field_behavior) = OPTIONAL]; } // Config for video object detection human labeling task. // Object detection will be conducted on the images extracted from the video, // and those objects will be labeled with bounding boxes. // User need to specify the number of images to be extracted per second as the // extraction frame rate. message ObjectDetectionConfig { // Required. Annotation spec set resource name. string annotation_spec_set = 1 [(google.api.field_behavior) = REQUIRED]; // Required. Number of frames per second to be extracted from the video. double extraction_frame_rate = 3 [(google.api.field_behavior) = REQUIRED]; } // Config for video object tracking human labeling task. message ObjectTrackingConfig { // Required. Annotation spec set resource name. string annotation_spec_set = 1 [(google.api.field_behavior) = REQUIRED]; } // Config for video event human labeling task. message EventConfig { // Required. The list of annotation spec set resource name. Similar to video // classification, we support selecting event from multiple AnnotationSpecSet // at the same time. repeated string annotation_spec_sets = 1 [(google.api.field_behavior) = REQUIRED]; } // Config for text classification human labeling task. message TextClassificationConfig { // Optional. If allow_multi_label is true, contributors are able to choose // multiple labels for one text segment. bool allow_multi_label = 1 [(google.api.field_behavior) = OPTIONAL]; // Required. Annotation spec set resource name. string annotation_spec_set = 2 [(google.api.field_behavior) = REQUIRED]; // Optional. Configs for sentiment selection. SentimentConfig sentiment_config = 3 [(google.api.field_behavior) = OPTIONAL]; } // Config for setting up sentiments. message SentimentConfig { // If set to true, contributors will have the option to select sentiment of // the label they selected, to mark it as negative or positive label. Default // is false. bool enable_label_sentiment_selection = 1; } // Config for text entity extraction human labeling task. message TextEntityExtractionConfig { // Required. Annotation spec set resource name. string annotation_spec_set = 1 [(google.api.field_behavior) = REQUIRED]; }