diff --git a/mediapipe/model_maker/python/vision/face_stylizer/BUILD b/mediapipe/model_maker/python/vision/face_stylizer/BUILD
new file mode 100644
index 000000000..804511540
--- /dev/null
+++ b/mediapipe/model_maker/python/vision/face_stylizer/BUILD
@@ -0,0 +1,48 @@
+# Copyright 2023 The MediaPipe Authors. All Rights Reserved.
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
+# Placeholder for internal Python strict test compatibility macro.
+# Placeholder for internal Python strict library and test compatibility macro.
+
+licenses(["notice"])
+
+package(default_visibility = ["//mediapipe:__subpackages__"])
+
+filegroup(
+    name = "testdata",
+    srcs = glob([
+        "testdata/**",
+    ]),
+)
+
+py_library(
+    name = "dataset",
+    srcs = ["dataset.py"],
+    deps = [
+        "//mediapipe/model_maker/python/core/data:classification_dataset",
+        "//mediapipe/model_maker/python/vision/core:image_utils",
+    ],
+)
+
+py_test(
+    name = "dataset_test",
+    srcs = ["dataset_test.py"],
+    data = [
+        ":testdata",
+    ],
+    deps = [
+        ":dataset",
+        "//mediapipe/tasks/python/test:test_utils",
+    ],
+)
diff --git a/mediapipe/model_maker/python/vision/face_stylizer/__init__.py b/mediapipe/model_maker/python/vision/face_stylizer/__init__.py
new file mode 100644
index 000000000..e935c0c76
--- /dev/null
+++ b/mediapipe/model_maker/python/vision/face_stylizer/__init__.py
@@ -0,0 +1,14 @@
+# Copyright 2023 The MediaPipe Authors. All Rights Reserved.
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+"""MediaPipe Model Maker Python Public API For Face Stylization."""
diff --git a/mediapipe/model_maker/python/vision/face_stylizer/dataset.py b/mediapipe/model_maker/python/vision/face_stylizer/dataset.py
new file mode 100644
index 000000000..b6c85d6f3
--- /dev/null
+++ b/mediapipe/model_maker/python/vision/face_stylizer/dataset.py
@@ -0,0 +1,98 @@
+# Copyright 2023 The MediaPipe Authors. All Rights Reserved.
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+"""Face stylizer dataset library."""
+
+import logging
+import os
+
+import tensorflow as tf
+
+from mediapipe.model_maker.python.core.data import classification_dataset
+from mediapipe.model_maker.python.vision.core import image_utils
+
+
+# TODO: Change to a unlabeled dataset if it makes sense.
+class Dataset(classification_dataset.ClassificationDataset):
+  """Dataset library for face stylizer fine tuning."""
+
+  @classmethod
+  def from_folder(
+      cls, dirname: str
+  ) -> classification_dataset.ClassificationDataset:
+    """Loads images from the given directory.
+
+    The style image dataset directory is expected to contain one subdirectory
+    whose name represents the label of the style. There can be one or multiple
+    images of the same style in that subdirectory. Supported input image formats
+    include 'jpg', 'jpeg', 'png'.
+
+    Args:
+      dirname: Name of the directory containing the image files.
+
+    Returns:
+      Dataset containing images and labels and other related info.
+    Raises:
+      ValueError: if the input data directory is empty.
+    """
+    data_root = os.path.abspath(dirname)
+
+    # Assumes the image data of the same label are in the same subdirectory,
+    # gets image path and label names.
+    all_image_paths = list(tf.io.gfile.glob(data_root + r'/*/*'))
+    all_image_size = len(all_image_paths)
+    if all_image_size == 0:
+      raise ValueError('Invalid input data directory')
+    if not any(
+        fname.endswith(('.jpg', '.jpeg', '.png')) for fname in all_image_paths
+    ):
+      raise ValueError('No images found under given directory')
+
+    label_names = sorted(
+        name
+        for name in os.listdir(data_root)
+        if os.path.isdir(os.path.join(data_root, name))
+    )
+    all_label_size = len(label_names)
+    index_by_label = dict(
+        (name, index) for index, name in enumerate(label_names)
+    )
+    # Get the style label from the subdirectory name.
+    all_image_labels = [
+        index_by_label[os.path.basename(os.path.dirname(path))]
+        for path in all_image_paths
+    ]
+
+    path_ds = tf.data.Dataset.from_tensor_slices(all_image_paths)
+
+    image_ds = path_ds.map(
+        image_utils.load_image, num_parallel_calls=tf.data.AUTOTUNE
+    )
+
+    # Load label
+    label_ds = tf.data.Dataset.from_tensor_slices(
+        tf.cast(all_image_labels, tf.int64)
+    )
+
+    # Create a dataset of (image, label) pairs
+    image_label_ds = tf.data.Dataset.zip((image_ds, label_ds))
+
+    logging.info(
+        'Load images dataset with size: %d, num_label: %d, labels: %s.',
+        all_image_size,
+        all_label_size,
+        ', '.join(label_names),
+    )
+    return Dataset(
+        dataset=image_label_ds, size=all_image_size, label_names=label_names
+    )
diff --git a/mediapipe/model_maker/python/vision/face_stylizer/dataset_test.py b/mediapipe/model_maker/python/vision/face_stylizer/dataset_test.py
new file mode 100644
index 000000000..a8af222d4
--- /dev/null
+++ b/mediapipe/model_maker/python/vision/face_stylizer/dataset_test.py
@@ -0,0 +1,48 @@
+# Copyright 2023 The MediaPipe Authors. All Rights Reserved.
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
+import tensorflow as tf
+
+from mediapipe.model_maker.python.vision.face_stylizer import dataset
+from mediapipe.tasks.python.test import test_utils
+
+
+class DatasetTest(tf.test.TestCase):
+
+  def setUp(self):
+    super().setUp()
+    # TODO: Replace the stylize image dataset with licensed images.
+    self._test_data_dirname = 'testdata'
+
+  def test_from_folder(self):
+    input_data_dir = test_utils.get_test_data_path(self._test_data_dirname)
+    data = dataset.Dataset.from_folder(dirname=input_data_dir)
+    self.assertEqual(data.num_classes, 2)
+    self.assertEqual(data.label_names, ['cartoon', 'sketch'])
+    self.assertLen(data, 2)
+
+  def test_from_folder_raise_value_error_for_invalid_path(self):
+    with self.assertRaisesRegex(ValueError, 'Invalid input data directory'):
+      dataset.Dataset.from_folder(dirname='invalid')
+
+  def test_from_folder_raise_value_error_for_valid_no_data_path(self):
+    input_data_dir = test_utils.get_test_data_path('face_stylizer')
+    with self.assertRaisesRegex(
+        ValueError, 'No images found under given directory'
+    ):
+      dataset.Dataset.from_folder(dirname=input_data_dir)
+
+
+if __name__ == '__main__':
+  tf.test.main()
diff --git a/mediapipe/model_maker/python/vision/face_stylizer/testdata/cartoon/disney.png b/mediapipe/model_maker/python/vision/face_stylizer/testdata/cartoon/disney.png
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diff --git a/mediapipe/model_maker/python/vision/face_stylizer/testdata/sketch/sketch.png b/mediapipe/model_maker/python/vision/face_stylizer/testdata/sketch/sketch.png
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