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diff --git a/tests/datasets/system_tests/yolo/v2/YOLOV2BatchNormalizationLayerDataset.h b/tests/datasets/system_tests/yolo/v2/YOLOV2BatchNormalizationLayerDataset.h
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+++ b/tests/datasets/system_tests/yolo/v2/YOLOV2BatchNormalizationLayerDataset.h
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+/*
+ * Copyright (c) 2017 ARM Limited.
+ *
+ * SPDX-License-Identifier: MIT
+ *
+ * Permission is hereby granted, free of charge, to any person obtaining a copy
+ * of this software and associated documentation files (the "Software"), to
+ * deal in the Software without restriction, including without limitation the
+ * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or
+ * sell copies of the Software, and to permit persons to whom the Software is
+ * furnished to do so, subject to the following conditions:
+ *
+ * The above copyright notice and this permission notice shall be included in all
+ * copies or substantial portions of the Software.
+ *
+ * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+ * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
+ * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
+ * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
+ * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
+ * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
+ * SOFTWARE.
+ */
+#ifndef ARM_COMPUTE_TEST_YOLOV2_BATCHNORMALIZATION_LAYER_DATASET
+#define ARM_COMPUTE_TEST_YOLOV2_BATCHNORMALIZATION_LAYER_DATASET
+
+#include "tests/datasets/BatchNormalizationLayerDataset.h"
+
+#include "tests/TypePrinter.h"
+
+#include "arm_compute/core/TensorShape.h"
+#include "arm_compute/core/Types.h"
+
+namespace arm_compute
+{
+namespace test
+{
+namespace datasets
+{
+class YOLOV2BatchNormalizationLayerDataset final : public BatchNormalizationLayerDataset
+{
+public:
+    YOLOV2BatchNormalizationLayerDataset()
+    {
+        // conv1_bn
+        add_config(TensorShape(416U, 416U, 32U), TensorShape(32U), 0.00001f);
+        // conv2_bn
+        add_config(TensorShape(208U, 208U, 64U), TensorShape(64U), 0.00001f);
+        // conv3_bn, conv5_bn
+        add_config(TensorShape(104U, 104U, 128U), TensorShape(128U), 0.00001f);
+        // conv4_bn
+        add_config(TensorShape(104U, 104U, 64U), TensorShape(64U), 0.00001f);
+        // conv6_bn, conv8_bn
+        add_config(TensorShape(52U, 52U, 256U), TensorShape(256U), 0.00001f);
+        // conv7_bn
+        add_config(TensorShape(52U, 52U, 128U), TensorShape(128U), 0.00001f);
+        // conv9_bn, conv11_bn, conv13_bn
+        add_config(TensorShape(26U, 26U, 512U), TensorShape(512U), 0.00001f);
+        // conv10_bn, conv12_bn
+        add_config(TensorShape(26U, 26U, 256U), TensorShape(256U), 0.00001f);
+        // conv14_bn, conv16_bn, conv18_bn, conv19_bn, conv20_bn, conv21_bn
+        add_config(TensorShape(13U, 13U, 1024U), TensorShape(1024U), 0.00001f);
+        // conv15_bn, conv17_bn
+        add_config(TensorShape(13U, 13U, 512U), TensorShape(512U), 0.00001f);
+    }
+};
+} // namespace datasets
+} // namespace test
+} // namespace arm_compute
+#endif /* ARM_COMPUTE_TEST_YOLOV2_BATCHNORMALIZATION_LAYER_DATASET */