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diff --git a/runtime/contrib/tflite_classify/src/ImageClassifier.h b/runtime/contrib/tflite_classify/src/ImageClassifier.h
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+/*
+ * Copyright (c) 2018 Samsung Electronics Co., Ltd. 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.
+ */
+
+/**
+ * @file     ImageClassifier.h
+ * @brief    This file contains ImageClassifier class and Recognition structure
+ * @ingroup  COM_AI_RUNTIME
+ */
+
+#ifndef __TFLITE_CLASSIFY_IMAGE_CLASSIFIER_H__
+#define __TFLITE_CLASSIFY_IMAGE_CLASSIFIER_H__
+
+#include "InferenceInterface.h"
+
+#include <iostream>
+#include <string>
+#include <vector>
+
+#include <opencv2/opencv.hpp>
+
+/**
+ * @brief struct to define an immutable result returned by a Classifier
+ */
+struct Recognition
+{
+public:
+  /**
+   * @brief Construct a new Recognition object with confidence and title
+   * @param[in] _confidence A sortable score for how good the recognition is relative to others.
+   * Higher should be better.
+   * @param[in] _title      Display name for the recognition
+   */
+  Recognition(float _confidence, std::string _title) : confidence(_confidence), title(_title) {}
+
+  float confidence;  /** A sortable score for how good the recognition is relative to others. Higher
+                        should be better. */
+  std::string title; /** Display name for the recognition */
+};
+
+/**
+ * @brief Class to define a classifier specialized to label images
+ */
+class ImageClassifier
+{
+public:
+  /**
+   * @brief Construct a new ImageClassifier object with parameters
+   * @param[in] model_file  The filepath of the model FlatBuffer protocol buffer
+   * @param[in] label_file  The filepath of label file for classes
+   * @param[in] input_size  The input size. A square image of input_size x input_size is assumed
+   * @param[in] image_mean  The assumed mean of the image values
+   * @param[in] image_std   The assumed std of the image values
+   * @param[in] input_name  The label of the image input node
+   * @param[in] output_name The label of the output node
+   * @param[in] use_nnapi   The flag to distinguish between TfLite interpreter and NNFW runtime
+   */
+  ImageClassifier(const std::string &model_file, const std::string &label_file,
+                  const int input_size, const int image_mean, const int image_std,
+                  const std::string &input_name, const std::string &output_name,
+                  const bool use_nnapi);
+
+  /**
+   * @brief Recognize the given image data
+   * @param[in] image   The image data to recognize
+   * @return An immutable result vector array
+   */
+  std::vector<Recognition> recognizeImage(const cv::Mat &image);
+
+private:
+  const float _threshold = 0.1f;
+  const unsigned int _max_results = 3;
+
+  std::unique_ptr<InferenceInterface> _inference;
+  int _input_size;
+  int _image_mean;
+  int _image_std;
+  std::string _input_name;
+  std::string _output_name;
+
+  std::vector<std::string> _labels;
+  std::vector<float> _fdata;
+  std::vector<float> _outputs;
+  int _num_classes;
+};
+
+#endif // __TFLITE_CLASSIFY_IMAGE_CLASSIFIER_H__