diff --git a/flutter/assets/tasks.pbtxt b/flutter/assets/tasks.pbtxt
index 88a6f7522..7795e39fd 100644
--- a/flutter/assets/tasks.pbtxt
+++ b/flutter/assets/tasks.pbtxt
@@ -247,8 +247,8 @@ task {
     id: "MobileNetEdgeTPUv2-L"
     name: "MobileNetEdgeTPUv2-L"
     offset: 0
-    image_width: 224
-    image_height: 224
+    image_width: 384
+    image_height: 384
     num_classes: 1000
   }
 }
@@ -283,9 +283,9 @@ task {
   model {
     id: "MobileNetEdgeTPUv2-L"
     name: "MobileNetEdgeTPUv2-L"
-    offset: 1
-    image_width: 224
-    image_height: 224
+    offset: 0
+    image_width: 384
+    image_height: 384
     num_classes: 1000
   }
 }
diff --git a/flutter/cpp/datasets/imagenet.cc b/flutter/cpp/datasets/imagenet.cc
index 06303141c..90a729ab0 100644
--- a/flutter/cpp/datasets/imagenet.cc
+++ b/flutter/cpp/datasets/imagenet.cc
@@ -62,18 +62,10 @@ Imagenet::Imagenet(Backend *backend, const std::string &image_dir,
   // Prepares the preprocessing stage.
   tflite::evaluation::ImagePreprocessingConfigBuilder builder(
       "image_preprocessing", DataType2TfType(input_format_.at(0).type));
-#if 0
   builder.AddResizingStep(image_width / kCroppingFraction,
                           image_height / kCroppingFraction, true);
   builder.AddCroppingStep(image_width, image_height, false);
-#endif
-#if 1
-  builder.AddCroppingStep(kCroppingFraction, true);
-  builder.AddResizingStep(image_width, image_height, false);
-#endif
-
   builder.AddDefaultNormalizationStep();
-
   preprocessing_stage_.reset(
       new tflite::evaluation::ImagePreprocessingStage(builder.build()));
   if (preprocessing_stage_->Init() != kTfLiteOk) {