diff --git a/tensorflow/lite/micro/examples/experimental/image_recognition/image_recognition_test.cc b/tensorflow/lite/micro/examples/experimental/image_recognition/image_recognition_test.cc
index ca08b2ad609..cacfee2b1d6 100644
--- a/tensorflow/lite/micro/examples/experimental/image_recognition/image_recognition_test.cc
+++ b/tensorflow/lite/micro/examples/experimental/image_recognition/image_recognition_test.cc
@@ -36,7 +36,7 @@ TF_LITE_MICRO_TEST(TestImageRecognitionInvoke) {
 
   const tflite::Model* model = ::tflite::GetModel(image_recognition_model_data);
   if (model->version() != TFLITE_SCHEMA_VERSION) {
-    error_reporter->Report(
+    TF_LITE_REPORT_ERROR(error_reporter,
         "Model provided is schema version %d not equal "
         "to supported version %d.\n",
         model->version(), TFLITE_SCHEMA_VERSION);
@@ -78,7 +78,7 @@ TF_LITE_MICRO_TEST(TestImageRecognitionInvoke) {
     TfLiteStatus invoke_status = interpreter.Invoke();
     TF_LITE_MICRO_EXPECT_EQ(kTfLiteOk, invoke_status);
     if (invoke_status != kTfLiteOk) {
-      error_reporter->Report("Invoke failed\n");
+      TF_LITE_REPORT_ERROR(error_reporter, "Invoke failed\n");
     }
 
     TfLiteTensor* output = interpreter.output(0);
diff --git a/tensorflow/lite/micro/examples/experimental/image_recognition/main.cc b/tensorflow/lite/micro/examples/experimental/image_recognition/main.cc
index 6b7dd8702d7..f34abdc92f4 100644
--- a/tensorflow/lite/micro/examples/experimental/image_recognition/main.cc
+++ b/tensorflow/lite/micro/examples/experimental/image_recognition/main.cc
@@ -45,13 +45,13 @@ int main(int argc, char** argv) {
   tflite::ErrorReporter* error_reporter = &micro_error_reporter;
 
   if (InitCamera(error_reporter) != kTfLiteOk) {
-    error_reporter->Report("Failed to init camera.");
+    TF_LITE_REPORT_ERROR(error_reporter, "Failed to init camera.");
     return 1;
   }
 
   const tflite::Model* model = ::tflite::GetModel(image_recognition_model_data);
   if (model->version() != TFLITE_SCHEMA_VERSION) {
-    error_reporter->Report(
+    TF_LITE_REPORT_ERROR(error_reporter,
         "Model provided is schema version %d not equal "
         "to supported version %d.",
         model->version(), TFLITE_SCHEMA_VERSION);
@@ -77,12 +77,12 @@ int main(int argc, char** argv) {
                        input->data.uint8);
 
     if (input->type != kTfLiteUInt8) {
-      error_reporter->Report("Wrong input type.");
+      TF_LITE_REPORT_ERROR(error_reporter, "Wrong input type.");
     }
 
     TfLiteStatus invoke_status = interpreter.Invoke();
     if (invoke_status != kTfLiteOk) {
-      error_reporter->Report("Invoke failed.");
+      TF_LITE_REPORT_ERROR(error_reporter, "Invoke failed.");
       break;
     }
 
diff --git a/tensorflow/lite/micro/examples/experimental/image_recognition/stm32f746_discovery/image_provider.cc b/tensorflow/lite/micro/examples/experimental/image_recognition/stm32f746_discovery/image_provider.cc
index 14c24356aa0..68087646778 100644
--- a/tensorflow/lite/micro/examples/experimental/image_recognition/stm32f746_discovery/image_provider.cc
+++ b/tensorflow/lite/micro/examples/experimental/image_recognition/stm32f746_discovery/image_provider.cc
@@ -19,7 +19,7 @@ limitations under the License.
 
 TfLiteStatus InitCamera(tflite::ErrorReporter* error_reporter) {
   if (BSP_CAMERA_Init(RESOLUTION_R160x120) != CAMERA_OK) {
-    error_reporter->Report("Failed to init camera.\n");
+    TF_LITE_REPORT_ERROR(error_reporter, "Failed to init camera.\n");
     return kTfLiteError;
   }