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diff --git a/mv_machine_learning/object_detection/include/MobilenetV2Ssd.h b/mv_machine_learning/object_detection/include/MobilenetV2Ssd.h
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+++ b/mv_machine_learning/object_detection/include/MobilenetV2Ssd.h
@@ -0,0 +1,57 @@
+/**
+ * Copyright (c) 2023 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.
+ */
+
+#ifndef __MOBILENET_V2_SSD_H__
+#define __MOBILENET_V2_SSD_H__
+
+#include <string>
+#include <memory>
+#include <mv_common.h>
+#include "mv_private.h"
+
+#include "ObjectDetection.h"
+#include <mv_inference_type.h>
+
+namespace mediavision
+{
+namespace machine_learning
+{
+template<typename T> class MobilenetV2Ssd : public ObjectDetection<T>
+{
+	using ObjectDetection<T>::_config;
+	using ObjectDetection<T>::_preprocess;
+	using ObjectDetection<T>::_labels;
+
+private:
+	ObjectDetectionResult _result;
+
+	void ApplyNms(std::vector<std::vector<Box> > &box_lists, BoxNmsMode mode, float threshold,
+				  std::vector<Box> &box_vector);
+	Box decodeBox(const DecodingBox *decodingBox, std::vector<float> &bb_tensor, int idx, float score, int label,
+				  int box_offset);
+	Box decodeBoxWithAnchor(const BoxAnchorParam *boxAnchorParam, Box &box, cv::Rect2f &anchor);
+
+public:
+	MobilenetV2Ssd(ObjectDetectionTaskType task_type, std::shared_ptr<Config> config);
+	~MobilenetV2Ssd();
+
+	ObjectDetectionResult &result() override;
+};
+
+} // machine_learning
+} // mediavision
+
+#endif
+\ No newline at end of file