diff --git a/mediapipe/calculators/util/top_k_scores_calculator.cc b/mediapipe/calculators/util/top_k_scores_calculator.cc
index fe2d599d5..9707ece63 100644
--- a/mediapipe/calculators/util/top_k_scores_calculator.cc
+++ b/mediapipe/calculators/util/top_k_scores_calculator.cc
@@ -39,9 +39,8 @@
 
 namespace mediapipe {
 
-constexpr char kTopKClassificationTag[] = "TOP_K_CLASSIFICATION";
 constexpr char kSummaryTag[] = "SUMMARY";
-constexpr char kClassificationsTag[] = "CLASSIFICATIONS";
+constexpr char kTopKClassificationsTag[] = "TOP_K_CLASSIFICATIONS";
 constexpr char kTopKLabelsTag[] = "TOP_K_LABELS";
 constexpr char kTopKScoresTag[] = "TOP_K_SCORES";
 constexpr char kTopKIndexesTag[] = "TOP_K_INDEXES";
@@ -98,8 +97,8 @@ absl::Status TopKScoresCalculator::GetContract(CalculatorContract* cc) {
   if (cc->Outputs().HasTag(kTopKLabelsTag)) {
     cc->Outputs().Tag(kTopKLabelsTag).Set<std::vector<std::string>>();
   }
-  if (cc->Outputs().HasTag(kClassificationsTag)) {
-    cc->Outputs().Tag(kClassificationsTag).Set<ClassificationList>();
+  if (cc->Outputs().HasTag(kTopKClassificationsTag)) {
+    cc->Outputs().Tag(kTopKClassificationsTag).Set<ClassificationList>();
   }
   if (cc->Outputs().HasTag(kSummaryTag)) {
     cc->Outputs().Tag(kSummaryTag).Set<std::string>();
@@ -210,7 +209,7 @@ absl::Status TopKScoresCalculator::Process(CalculatorContext* cc) {
                        .At(cc->InputTimestamp()));
   }
 
-  if (cc->Outputs().HasTag(kTopKClassificationTag)) {
+  if (cc->Outputs().HasTag(kTopKClassificationsTag)) {
     auto classification_list = absl::make_unique<ClassificationList>();
     for (int index = 0; index < top_k_indexes.size(); ++index) {
       Classification* classification =
@@ -221,6 +220,9 @@ absl::Status TopKScoresCalculator::Process(CalculatorContext* cc) {
         classification->set_label(top_k_labels[index]);
       }
     }
+
+    cc->Outputs().Tag(kTopKClassificationsTag).Add(
+        classification_list.release(), cc->InputTimestamp());
   }
   return absl::OkStatus();
 }
diff --git a/mediapipe/calculators/util/top_k_scores_calculator_test.cc b/mediapipe/calculators/util/top_k_scores_calculator_test.cc
index e5a17af28..3fe25865b 100644
--- a/mediapipe/calculators/util/top_k_scores_calculator_test.cc
+++ b/mediapipe/calculators/util/top_k_scores_calculator_test.cc
@@ -15,6 +15,7 @@
 #include <vector>
 
 #include "mediapipe/framework/calculator_runner.h"
+#include "mediapipe/framework/formats/classification.pb.h"
 #include "mediapipe/framework/port/gmock.h"
 #include "mediapipe/framework/port/gtest.h"
 #include "mediapipe/framework/port/parse_text_proto.h"
@@ -25,6 +26,7 @@ namespace mediapipe {
 
 constexpr char kTopKScoresTag[] = "TOP_K_SCORES";
 constexpr char kTopKIndexesTag[] = "TOP_K_INDEXES";
+constexpr char kTopKClassificationsTag[] = "TOP_K_CLASSIFICATIONS";
 constexpr char kScoresTag[] = "SCORES";
 
 TEST(TopKScoresCalculatorTest, TestNodeConfig) {
@@ -157,4 +159,42 @@ TEST(TopKScoresCalculatorTest, TestBothTopKAndThreshold) {
   EXPECT_NEAR(0.3, scores[2], 1e-5);
 }
 
+TEST(TopKScoresCalculatorTest, TestTopKClassifications) {
+  CalculatorRunner runner(ParseTextProtoOrDie<CalculatorGraphConfig::Node>(R"pb(
+    calculator: "TopKScoresCalculator"
+    input_stream: "SCORES:score_vector"
+    output_stream: "TOP_K_CLASSIFICATIONS:top_k_classifications"
+    options: {
+      [mediapipe.TopKScoresCalculatorOptions.ext] { top_k: 3 }
+    }
+  )pb"));
+
+  std::vector<float> score_vector{0.9, 0.2, 0.3, 1.0, 0.1};
+
+  runner.MutableInputs()
+      ->Tag(kScoresTag)
+      .packets.push_back(
+          MakePacket<std::vector<float>>(score_vector).At(Timestamp(0)));
+
+  MP_ASSERT_OK(runner.Run());
+  const std::vector<Packet>& classifications_outputs =
+      runner.Outputs().Tag(kTopKClassificationsTag).packets;
+  ASSERT_EQ(1, classifications_outputs.size());
+  const auto& classification_list =
+      classifications_outputs[0].Get<ClassificationList>();
+  EXPECT_EQ(3, classification_list.classification_size());
+
+  EXPECT_EQ(3, classification_list.classification(0).index());
+  EXPECT_EQ(0, classification_list.classification(1).index());
+  EXPECT_EQ(2, classification_list.classification(2).index());
+
+  EXPECT_NEAR(1.0, classification_list.classification(0).score(), 1e-5);
+  EXPECT_NEAR(0.9, classification_list.classification(1).score(), 1e-5);
+  EXPECT_NEAR(0.3, classification_list.classification(2).score(), 1e-5);
+
+  ASSERT_FALSE(classification_list.classification(0).has_label());
+  ASSERT_FALSE(classification_list.classification(1).has_label());
+  ASSERT_FALSE(classification_list.classification(2).has_label());
+}
+
 }  // namespace mediapipe