diff --git a/mediapipe/calculators/tensorflow/BUILD b/mediapipe/calculators/tensorflow/BUILD
index 4037d89ce..d0dfc12ab 100644
--- a/mediapipe/calculators/tensorflow/BUILD
+++ b/mediapipe/calculators/tensorflow/BUILD
@@ -613,6 +613,7 @@ cc_library(
     deps = [
         ":tensorflow_session",
         ":tensorflow_session_from_saved_model_generator_cc_proto",
+        "@com_google_absl//absl/status",
         "//mediapipe/framework:packet_generator",
         "//mediapipe/framework:packet_type",
         "//mediapipe/framework/tool:status_util",
diff --git a/mediapipe/calculators/tensorflow/tensorflow_session_from_saved_model_generator.cc b/mediapipe/calculators/tensorflow/tensorflow_session_from_saved_model_generator.cc
index 97c675920..d5236f1cc 100644
--- a/mediapipe/calculators/tensorflow/tensorflow_session_from_saved_model_generator.cc
+++ b/mediapipe/calculators/tensorflow/tensorflow_session_from_saved_model_generator.cc
@@ -14,6 +14,8 @@
 
 #include <algorithm>
 
+#include "absl/status/status.h"
+
 #if !defined(__ANDROID__)
 #include "mediapipe/framework/port/file_helpers.h"
 #endif
@@ -38,6 +40,8 @@ constexpr char kSessionTag[] = "SESSION";
 
 static constexpr char kStringSavedModelPath[] = "STRING_SAVED_MODEL_PATH";
 
+static constexpr char kStringSignatureName[] = "STRING_SIGNATURE_NAME";
+
 // Given the path to a directory containing multiple tensorflow saved models
 // in subdirectories, replaces path with the alphabetically last subdirectory.
 absl::Status GetLatestDirectory(std::string* path) {
@@ -104,6 +108,10 @@ class TensorFlowSessionFromSavedModelGenerator : public PacketGenerator {
     if (input_side_packets->HasTag(kStringSavedModelPath)) {
       input_side_packets->Tag(kStringSavedModelPath).Set<std::string>();
     }
+    // Set Signature_def.
+    if (input_side_packets->HasTag(kStringSignatureName)) {
+      input_side_packets->Tag(kStringSignatureName).Set<std::string>();
+    }
     // A TensorFlow model loaded and ready for use along with tensor
     output_side_packets->Tag(kSessionTag).Set<TensorFlowSession>();
     return absl::OkStatus();
@@ -146,9 +154,19 @@ class TensorFlowSessionFromSavedModelGenerator : public PacketGenerator {
     auto session = absl::make_unique<TensorFlowSession>();
     session->session = std::move(saved_model->session);
 
-    RET_CHECK(!options.signature_name().empty());
+    // Use input side packet to overwrite signature name in options.
+    std::string signature_name =
+        input_side_packets.HasTag(kStringSignatureName)
+            ? input_side_packets.Tag(kStringSignatureName).Get<std::string>()
+            : options.signature_name();
+    RET_CHECK(!signature_name.empty());
     const auto& signature_def_map = saved_model->meta_graph_def.signature_def();
-    const auto& signature_def = signature_def_map.at(options.signature_name());
+    if (signature_def_map.find(signature_name) == signature_def_map.end()) {
+      return absl::NotFoundError(absl::StrFormat(
+          "Signature name '%s' does not exist in the loaded signature def",
+          signature_name));
+    }
+    const auto& signature_def = signature_def_map.at(signature_name);
     for (const auto& input_signature : signature_def.inputs()) {
       session->tag_to_tensor_map[MaybeConvertSignatureToTag(
           input_signature.first, options)] = input_signature.second.name();
diff --git a/mediapipe/calculators/tensorflow/tensorflow_session_from_saved_model_generator_test.cc b/mediapipe/calculators/tensorflow/tensorflow_session_from_saved_model_generator_test.cc
index 5c6de3e86..c002b1bde 100644
--- a/mediapipe/calculators/tensorflow/tensorflow_session_from_saved_model_generator_test.cc
+++ b/mediapipe/calculators/tensorflow/tensorflow_session_from_saved_model_generator_test.cc
@@ -30,11 +30,13 @@
 
 namespace mediapipe {
 
+using ::testing::status::StatusIs;
 namespace {
 
 namespace tf = ::tensorflow;
 
 constexpr char kStringSavedModelPathTag[] = "STRING_SAVED_MODEL_PATH";
+constexpr char kStringSignatureNameTag[] = "STRING_SIGNATURE_NAME";
 constexpr char kSessionTag[] = "SESSION";
 
 std::string GetSavedModelDir() {
@@ -124,6 +126,48 @@ TEST_F(TensorFlowSessionFromSavedModelGeneratorTest,
   ASSERT_NE(session.session, nullptr);
 }
 
+TEST_F(TensorFlowSessionFromSavedModelGeneratorTest,
+       CreateSessionFromSidePacketWithCorrectSignatureName) {
+  generator_options_->clear_saved_model_path();
+  PacketSet input_side_packets(
+      tool::CreateTagMap({"STRING_SAVED_MODEL_PATH:saved_model_dir",
+                          "STRING_SIGNATURE_NAME:signature_name"})
+          .value());
+  input_side_packets.Tag(kStringSavedModelPathTag) =
+      Adopt(new std::string(GetSavedModelDir()));
+  input_side_packets.Tag(kStringSignatureNameTag) =
+      Adopt(new std::string("serving_default"));
+  PacketSet output_side_packets(
+      tool::CreateTagMap({"SESSION:session"}).value());
+  absl::Status run_status = tool::RunGenerateAndValidateTypes(
+      "TensorFlowSessionFromSavedModelGenerator", extendable_options_,
+      input_side_packets, &output_side_packets);
+  MP_EXPECT_OK(run_status) << run_status.message();
+  const TensorFlowSession& session =
+      output_side_packets.Tag(kSessionTag).Get<TensorFlowSession>();
+  // Session must be set.
+  ASSERT_NE(session.session, nullptr);
+}
+
+TEST_F(TensorFlowSessionFromSavedModelGeneratorTest,
+       CreateSessionFromSidePacketWithWrongSignatureName) {
+  generator_options_->clear_saved_model_path();
+  PacketSet input_side_packets(
+      tool::CreateTagMap({"STRING_SAVED_MODEL_PATH:saved_model_dir",
+                          "STRING_SIGNATURE_NAME:signature_name"})
+          .value());
+  input_side_packets.Tag(kStringSavedModelPathTag) =
+      Adopt(new std::string(GetSavedModelDir()));
+  input_side_packets.Tag(kStringSignatureNameTag) =
+      Adopt(new std::string("wrong_signature_name"));
+  PacketSet output_side_packets(
+      tool::CreateTagMap({"SESSION:session"}).value());
+  absl::Status run_status = tool::RunGenerateAndValidateTypes(
+      "TensorFlowSessionFromSavedModelGenerator", extendable_options_,
+      input_side_packets, &output_side_packets);
+  EXPECT_THAT(run_status, StatusIs(absl::StatusCode::kNotFound));
+}
+
 // Integration test. Verifies that TensorFlowInferenceCalculator correctly
 // consumes the Packet emitted by this factory.
 TEST_F(TensorFlowSessionFromSavedModelGeneratorTest,