diff --git a/tests/datasets/ROIAlignLayerDataset.h b/tests/datasets/ROIAlignLayerDataset.h
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+++ b/tests/datasets/ROIAlignLayerDataset.h
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+/*
+ * Copyright (c) 2018 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_ROI_ALIGN_LAYER_DATASET
+#define ARM_COMPUTE_TEST_ROI_ALIGN_LAYER_DATASET
+
+#include "utils/TypePrinter.h"
+
+#include "arm_compute/core/TensorShape.h"
+#include "arm_compute/core/Types.h"
+
+namespace arm_compute
+{
+namespace test
+{
+namespace datasets
+{
+class ROIAlignLayerDataset
+{
+public:
+    using type = std::tuple<TensorShape, ROIPoolingLayerInfo, TensorShape>;
+
+    struct iterator
+    {
+        iterator(std::vector<TensorShape>::const_iterator         tensor_shape_it,
+                 std::vector<ROIPoolingLayerInfo>::const_iterator infos_it,
+                 std::vector<TensorShape>::const_iterator         rois_shape_it)
+            : _tensor_shape_it{ std::move(tensor_shape_it) },
+              _infos_it{ std::move(infos_it) },
+              _rois_shape_it{ std::move(rois_shape_it) }
+        {
+        }
+
+        std::string description() const
+        {
+            std::stringstream description;
+            description << "In=" << *_tensor_shape_it << ":";
+            description << "Info=" << *_infos_it << ":";
+            description << "ROIS=" << *_rois_shape_it;
+            return description.str();
+        }
+
+        ROIAlignLayerDataset::type operator*() const
+        {
+            return std::make_tuple(*_tensor_shape_it, *_infos_it, *_rois_shape_it);
+        }
+
+        iterator &operator++()
+        {
+            ++_tensor_shape_it;
+            ++_infos_it;
+            ++_rois_shape_it;
+
+            return *this;
+        }
+
+    private:
+        std::vector<TensorShape>::const_iterator         _tensor_shape_it;
+        std::vector<ROIPoolingLayerInfo>::const_iterator _infos_it;
+        std::vector<TensorShape>::const_iterator         _rois_shape_it;
+    };
+
+    iterator begin() const
+    {
+        return iterator(_tensor_shapes.begin(), _infos.begin(), _rois_shape.begin());
+    }
+
+    int size() const
+    {
+        return std::min(std::min(_tensor_shapes.size(), _infos.size()), _rois_shape.size());
+    }
+
+    void add_config(TensorShape tensor_shape, ROIPoolingLayerInfo info, TensorShape rois_shape)
+    {
+        _tensor_shapes.emplace_back(std::move(tensor_shape));
+        _infos.emplace_back(std::move(info));
+        _rois_shape.emplace_back(std::move(rois_shape));
+    }
+
+protected:
+    ROIAlignLayerDataset()                        = default;
+    ROIAlignLayerDataset(ROIAlignLayerDataset &&) = default;
+
+private:
+    std::vector<TensorShape>         _tensor_shapes{};
+    std::vector<ROIPoolingLayerInfo> _infos{};
+    std::vector<TensorShape>         _rois_shape{};
+};
+
+class SmallROIAlignLayerDataset final : public ROIAlignLayerDataset
+{
+public:
+    SmallROIAlignLayerDataset()
+    {
+        add_config(TensorShape(50U, 47U, 1U, 1U), ROIPoolingLayerInfo(7U, 7U, 1.f / 4.f), TensorShape(5U, 1U));
+        add_config(TensorShape(50U, 47U, 3U, 4U), ROIPoolingLayerInfo(7U, 7U, 1.f / 4.f), TensorShape(5U, 1U));
+        add_config(TensorShape(50U, 47U, 3U, 1U), ROIPoolingLayerInfo(7U, 7U, 1.f / 4.f), TensorShape(5U, 10U));
+        add_config(TensorShape(50U, 47U, 10U, 1U), ROIPoolingLayerInfo(7U, 7U, 1.f / 4.f), TensorShape(5U, 80U));
+
+        //Spatial Scale 1/4
+        add_config(TensorShape(50U, 47U, 80U, 4U), ROIPoolingLayerInfo(7U, 7U, 1.f / 4.f), TensorShape(5U, 80U));
+        add_config(TensorShape(50U, 47U, 3U, 1U), ROIPoolingLayerInfo(9U, 9U, 1.f / 4.f), TensorShape(5U, 40U));
+        add_config(TensorShape(50U, 47U, 10U, 1U), ROIPoolingLayerInfo(9U, 9U, 1.f / 4.f), TensorShape(5U, 80U));
+        add_config(TensorShape(50U, 47U, 80U, 8U), ROIPoolingLayerInfo(9U, 9U, 1.f / 4.f), TensorShape(5U, 80U));
+
+        //Spatial Scale 1/8
+        add_config(TensorShape(50U, 47U, 80U, 4U), ROIPoolingLayerInfo(7U, 7U, 1.f / 8.f), TensorShape(5U, 80U));
+        add_config(TensorShape(50U, 47U, 3U, 1U), ROIPoolingLayerInfo(9U, 9U, 1.f / 8.f), TensorShape(5U, 40U));
+        add_config(TensorShape(50U, 47U, 10U, 1U), ROIPoolingLayerInfo(9U, 9U, 1.f / 8.f), TensorShape(5U, 80U));
+        add_config(TensorShape(50U, 47U, 80U, 8U), ROIPoolingLayerInfo(9U, 9U, 1.f / 8.f), TensorShape(5U, 80U));
+
+        //Spatial Scale 1/16
+        add_config(TensorShape(50U, 47U, 80U, 4U), ROIPoolingLayerInfo(7U, 7U, 1.f / 16.f), TensorShape(5U, 80U));
+        add_config(TensorShape(50U, 47U, 3U, 1U), ROIPoolingLayerInfo(9U, 9U, 1.f / 16.f), TensorShape(5U, 40U));
+        add_config(TensorShape(50U, 47U, 10U, 1U), ROIPoolingLayerInfo(9U, 9U, 1.f / 16.f), TensorShape(5U, 80U));
+        add_config(TensorShape(50U, 47U, 80U, 8U), ROIPoolingLayerInfo(9U, 9U, 1.f / 16.f), TensorShape(5U, 80U));
+    }
+};
+
+} // namespace datasets
+} // namespace test
+} // namespace arm_compute
+#endif /* ARM_COMPUTE_TEST_ROI_ALIGN_LAYER_DATASET */