diff --git a/arm_compute/core/CPP/CPPKernels.h b/arm_compute/core/CPP/CPPKernels.h
index bf24a94..39b77cd 100644
--- a/arm_compute/core/CPP/CPPKernels.h
+++ b/arm_compute/core/CPP/CPPKernels.h
@@ -25,6 +25,7 @@
 #define __ARM_COMPUTE_CPPKERNELS_H__
 
 /* Header regrouping all the CPP kernels */
+#include "arm_compute/core/CPP/kernels/CPPBoxWithNonMaximaSuppressionLimitKernel.h"
 #include "arm_compute/core/CPP/kernels/CPPCornerCandidatesKernel.h"
 #include "arm_compute/core/CPP/kernels/CPPDetectionWindowNonMaximaSuppressionKernel.h"
 #include "arm_compute/core/CPP/kernels/CPPFlipWeightsKernel.h"
diff --git a/arm_compute/core/CPP/kernels/CPPBoxWithNonMaximaSuppressionLimitKernel.h b/arm_compute/core/CPP/kernels/CPPBoxWithNonMaximaSuppressionLimitKernel.h
new file mode 100644
index 0000000..a1adca3
--- /dev/null
+++ b/arm_compute/core/CPP/kernels/CPPBoxWithNonMaximaSuppressionLimitKernel.h
@@ -0,0 +1,91 @@
+/*
+ * 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_CPPBOXWITHNONMAXIMASUPPRESSIONLIMITKERNEL_H__
+#define __ARM_COMPUTE_CPPBOXWITHNONMAXIMASUPPRESSIONLIMITKERNEL_H__
+
+#include "arm_compute/core/IArray.h"
+#include "arm_compute/core/IHOG.h"
+#include "arm_compute/core/NEON/INEKernel.h"
+#include "arm_compute/core/Types.h"
+
+namespace arm_compute
+{
+class ITensor;
+
+/** CPP kernel to perform computation of BoxWithNonMaximaSuppressionLimit */
+class CPPBoxWithNonMaximaSuppressionLimitKernel : public ICPPKernel
+{
+public:
+    const char *name() const override
+    {
+        return "CPPBoxWithNonMaximaSuppressionLimitKernel";
+    }
+    /** Default constructor */
+    CPPBoxWithNonMaximaSuppressionLimitKernel();
+    /** Prevent instances of this class from being copied (As this class contains pointers) */
+    CPPBoxWithNonMaximaSuppressionLimitKernel(const CPPBoxWithNonMaximaSuppressionLimitKernel &) = delete;
+    /** Prevent instances of this class from being copied (As this class contains pointers) */
+    CPPBoxWithNonMaximaSuppressionLimitKernel &operator=(const CPPBoxWithNonMaximaSuppressionLimitKernel &) = delete;
+    /** Allow instances of this class to be moved */
+    CPPBoxWithNonMaximaSuppressionLimitKernel(CPPBoxWithNonMaximaSuppressionLimitKernel &&) = default;
+    /** Allow instances of this class to be moved */
+    CPPBoxWithNonMaximaSuppressionLimitKernel &operator=(CPPBoxWithNonMaximaSuppressionLimitKernel &&) = default;
+    /** Initialise the kernel's input and output tensors.
+     *
+     * @param[in]  scores_in        The scores input tensor of size [num_classes, count]. Data types supported: F16/F32
+     * @param[in]  boxes_in         The boxes input tensor of size [num_classes * 4, count]. Data types supported: Same as @p scores_in
+     * @param[in]  batch_splits_in  The batch splits input tensor of size [batch_size]. Data types supported: Same as @p scores_in
+     *                              @note Can be a nullptr. If not a nullptr, @p scores_in and @p boxes_in have items from multiple images.
+     * @param[out] scores_out       The scores output tensor of size [N]. Data types supported: Same as @p scores_in
+     * @param[out] boxes_out        The boxes output tensor of size [4, N]. Data types supported: Same as @p scores_in
+     * @param[out] classes          The classes output tensor of size [N]. Data types supported: Same as @p scores_in
+     * @param[out] batch_splits_out (Optional) The batch splits output tensor [batch_size]. Data types supported: Same as @p scores_in
+     * @param[out] keeps            (Optional) The keeps output tensor of size [N]. Data types supported: Same as@p scores_in
+     * @param[out] keeps_size       (Optional) Number of filtered indices per class tensor of size [num_classes]. Data types supported: Same as @p scores_in
+     * @param[in]  info             (Optional) BoxNMSLimitInfo information.
+     */
+    void configure(const ITensor *scores_in, const ITensor *boxes_in, const ITensor *batch_splits_in, ITensor *scores_out, ITensor *boxes_out, ITensor *classes,
+                   ITensor *batch_splits_out = nullptr, ITensor *keeps = nullptr, ITensor *keeps_size = nullptr, const BoxNMSLimitInfo info = BoxNMSLimitInfo());
+
+    // Inherited methods overridden:
+    void run(const Window &window, const ThreadInfo &info) override;
+    bool is_parallelisable() const override;
+
+    template <typename T>
+    void run_nmslimit();
+
+private:
+    const ITensor *_scores_in;
+    const ITensor *_boxes_in;
+    const ITensor *_batch_splits_in;
+    ITensor        *_scores_out;
+    ITensor        *_boxes_out;
+    ITensor        *_classes;
+    ITensor        *_batch_splits_out;
+    ITensor        *_keeps;
+    ITensor        *_keeps_size;
+    BoxNMSLimitInfo _info;
+};
+} // namespace arm_compute
+#endif /* __ARM_COMPUTE_CPPBOXWITHNONMAXIMASUPPRESSIONLIMITKERNEL_H__ */