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+// Copyright 2020 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.automl.v1beta1;
+
+import "google/cloud/automl/v1beta1/geometry.proto";
+import "google/protobuf/duration.proto";
+
+option go_package = "google.golang.org/genproto/googleapis/cloud/automl/v1beta1;automl";
+option java_multiple_files = true;
+option java_package = "com.google.cloud.automl.v1beta1";
+option php_namespace = "Google\\Cloud\\AutoMl\\V1beta1";
+option ruby_package = "Google::Cloud::AutoML::V1beta1";
+
+// Annotation details for image object detection.
+message ImageObjectDetectionAnnotation {
+  // Output only. The rectangle representing the object location.
+  BoundingPoly bounding_box = 1;
+
+  // Output only. The confidence that this annotation is positive for the parent example,
+  // value in [0, 1], higher means higher positivity confidence.
+  float score = 2;
+}
+
+// Annotation details for video object tracking.
+message VideoObjectTrackingAnnotation {
+  // Optional. The instance of the object, expressed as a positive integer. Used to tell
+  // apart objects of the same type (i.e. AnnotationSpec) when multiple are
+  // present on a single example.
+  // NOTE: Instance ID prediction quality is not a part of model evaluation and
+  // is done as best effort. Especially in cases when an entity goes
+  // off-screen for a longer time (minutes), when it comes back it may be given
+  // a new instance ID.
+  string instance_id = 1;
+
+  // Required. A time (frame) of a video to which this annotation pertains.
+  // Represented as the duration since the video's start.
+  google.protobuf.Duration time_offset = 2;
+
+  // Required. The rectangle representing the object location on the frame (i.e.
+  // at the time_offset of the video).
+  BoundingPoly bounding_box = 3;
+
+  // Output only. The confidence that this annotation is positive for the video at
+  // the time_offset, value in [0, 1], higher means higher positivity
+  // confidence. For annotations created by the user the score is 1. When
+  // user approves an annotation, the original float score is kept (and not
+  // changed to 1).
+  float score = 4;
+}
+
+// Bounding box matching model metrics for a single intersection-over-union
+// threshold and multiple label match confidence thresholds.
+message BoundingBoxMetricsEntry {
+  // Metrics for a single confidence threshold.
+  message ConfidenceMetricsEntry {
+    // Output only. The confidence threshold value used to compute the metrics.
+    float confidence_threshold = 1;
+
+    // Output only. Recall under the given confidence threshold.
+    float recall = 2;
+
+    // Output only. Precision under the given confidence threshold.
+    float precision = 3;
+
+    // Output only. The harmonic mean of recall and precision.
+    float f1_score = 4;
+  }
+
+  // Output only. The intersection-over-union threshold value used to compute
+  // this metrics entry.
+  float iou_threshold = 1;
+
+  // Output only. The mean average precision, most often close to au_prc.
+  float mean_average_precision = 2;
+
+  // Output only. Metrics for each label-match confidence_threshold from
+  // 0.05,0.10,...,0.95,0.96,0.97,0.98,0.99. Precision-recall curve is
+  // derived from them.
+  repeated ConfidenceMetricsEntry confidence_metrics_entries = 3;
+}
+
+// Model evaluation metrics for image object detection problems.
+// Evaluates prediction quality of labeled bounding boxes.
+message ImageObjectDetectionEvaluationMetrics {
+  // Output only. The total number of bounding boxes (i.e. summed over all
+  // images) the ground truth used to create this evaluation had.
+  int32 evaluated_bounding_box_count = 1;
+
+  // Output only. The bounding boxes match metrics for each
+  // Intersection-over-union threshold 0.05,0.10,...,0.95,0.96,0.97,0.98,0.99
+  // and each label confidence threshold 0.05,0.10,...,0.95,0.96,0.97,0.98,0.99
+  // pair.
+  repeated BoundingBoxMetricsEntry bounding_box_metrics_entries = 2;
+
+  // Output only. The single metric for bounding boxes evaluation:
+  // the mean_average_precision averaged over all bounding_box_metrics_entries.
+  float bounding_box_mean_average_precision = 3;
+}
+
+// Model evaluation metrics for video object tracking problems.
+// Evaluates prediction quality of both labeled bounding boxes and labeled
+// tracks (i.e. series of bounding boxes sharing same label and instance ID).
+message VideoObjectTrackingEvaluationMetrics {
+  // Output only. The number of video frames used to create this evaluation.
+  int32 evaluated_frame_count = 1;
+
+  // Output only. The total number of bounding boxes (i.e. summed over all
+  // frames) the ground truth used to create this evaluation had.
+  int32 evaluated_bounding_box_count = 2;
+
+  // Output only. The bounding boxes match metrics for each
+  // Intersection-over-union threshold 0.05,0.10,...,0.95,0.96,0.97,0.98,0.99
+  // and each label confidence threshold 0.05,0.10,...,0.95,0.96,0.97,0.98,0.99
+  // pair.
+  repeated BoundingBoxMetricsEntry bounding_box_metrics_entries = 4;
+
+  // Output only. The single metric for bounding boxes evaluation:
+  // the mean_average_precision averaged over all bounding_box_metrics_entries.
+  float bounding_box_mean_average_precision = 6;
+}