diff --git a/mediapipe/calculators/tensor/BUILD b/mediapipe/calculators/tensor/BUILD
index 92e786b6..1a2a6b34 100644
--- a/mediapipe/calculators/tensor/BUILD
+++ b/mediapipe/calculators/tensor/BUILD
@@ -1324,6 +1324,7 @@ cc_test(
     name = "image_to_tensor_utils_test",
     srcs = ["image_to_tensor_utils_test.cc"],
     deps = [
+        ":image_to_tensor_calculator_cc_proto",
         ":image_to_tensor_utils",
         "//mediapipe/framework/formats:rect_cc_proto",
         "//mediapipe/framework/port:gtest_main",
diff --git a/mediapipe/calculators/tensor/image_to_tensor_converter_gl_buffer.cc b/mediapipe/calculators/tensor/image_to_tensor_converter_gl_buffer.cc
index 14de410f..a551e7f8 100644
--- a/mediapipe/calculators/tensor/image_to_tensor_converter_gl_buffer.cc
+++ b/mediapipe/calculators/tensor/image_to_tensor_converter_gl_buffer.cc
@@ -330,9 +330,8 @@ class GlProcessor : public ImageToTensorConverter {
   absl::Status ValidateTensorShape(const Tensor::Shape& output_shape) {
     RET_CHECK_EQ(output_shape.dims.size(), 4)
         << "Wrong output dims size: " << output_shape.dims.size();
-    RET_CHECK_EQ(output_shape.dims[0], 1)
-        << "Handling batch dimension not equal to 1 is not implemented in this "
-           "converter.";
+    RET_CHECK_GE(output_shape.dims[0], 1)
+        << "The batch dimension needs to be greater or equal to 1.";
     RET_CHECK_EQ(output_shape.dims[3], 3)
         << "Wrong output channel: " << output_shape.dims[3];
     return absl::OkStatus();
diff --git a/mediapipe/calculators/tensor/image_to_tensor_utils_test.cc b/mediapipe/calculators/tensor/image_to_tensor_utils_test.cc
index 9ba7d013..450bcba3 100644
--- a/mediapipe/calculators/tensor/image_to_tensor_utils_test.cc
+++ b/mediapipe/calculators/tensor/image_to_tensor_utils_test.cc
@@ -172,7 +172,7 @@ constexpr char kValidIntProto[] = R"(
   output_tensor_height: 200
 )";
 
-TEST(ValidateOptionOutputDims, ValidProtos) {
+TEST(ValidateOptionOutputDims, ImageToTensorCalcOptions) {
   const auto float_options =
       mediapipe::ParseTextProtoOrDie<mediapipe::ImageToTensorCalculatorOptions>(
           kValidFloatProto);
@@ -202,7 +202,7 @@ TEST(ValidateOptionOutputDims, EmptyProto) {
                        HasSubstr("Valid output tensor width is required")));
 }
 
-TEST(GetOutputTensorParams, SetValues) {
+TEST(GetOutputTensorParams, ImageToTensorCalcOptionsSetValues) {
   // Test int range with ImageToTensorCalculatorOptions.
   const auto int_options =
       mediapipe::ParseTextProtoOrDie<mediapipe::ImageToTensorCalculatorOptions>(
diff --git a/mediapipe/calculators/tensor/testdata/image_to_tensor/crop_empty.png b/mediapipe/calculators/tensor/testdata/image_to_tensor/crop_empty.png
new file mode 100644
index 00000000..02d1fe88
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diff --git a/mediapipe/calculators/tensor/testdata/image_to_tensor/crop_rect1.png b/mediapipe/calculators/tensor/testdata/image_to_tensor/crop_rect1.png
new file mode 100644
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diff --git a/mediapipe/calculators/tensor/testdata/image_to_tensor/crop_rect2.png b/mediapipe/calculators/tensor/testdata/image_to_tensor/crop_rect2.png
new file mode 100644
index 00000000..f9dc58e5
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diff --git a/mediapipe/calculators/tensor/testdata/image_to_tensor/crop_rect3.png b/mediapipe/calculators/tensor/testdata/image_to_tensor/crop_rect3.png
new file mode 100644
index 00000000..6e451e3f
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