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README (1).md

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+# MobileNet v2 1.0 224 INT8
+
+## Description
+INT8 quantised version of MobileNet v2 model. Trained on ImageNet.
+
+## License
+[Apache-2.0](https://spdx.org/licenses/Apache-2.0.html)
+
+## Related Materials
+### Class Labels
+The class labels associated with this model can be downloaded by running the script `get_class_labels.sh`.
+
+### Model Recreation Code
+Code to recreate this model can be found [here](recreate_model/).
+
+## Network Information
+| Network Information |  Value         |
+|---------------------|----------------|
+|  Framework          | TensorFlow Lite |
+|  SHA-1 Hash         | 8de7996dfeadb5ab6f09e3114f3905fd03879eee |
+|  Size (Bytes)       | 4020936 |
+|  Provenance         | https://arxiv.org/pdf/1801.04381.pdf |
+|  Paper              | https://arxiv.org/pdf/1801.04381.pdf |
+
+## Performance
+| Platform | Optimized |
+|----------|:---------:|
+| Cortex-A |:heavy_check_mark:         |
+| Cortex-M |:heavy_check_mark:         |
+| Mali GPU |:heavy_check_mark:         |
+| Ethos U  |:heavy_check_mark:         |
+
+### Key
+* :heavy_check_mark: - Will run on this platform.
+* :heavy_multiplication_x: - Will not run on this platform.
+
+## Accuracy
+Dataset: ILSVRC 2012
+
+| Metric | Value |
+|--------|-------|
+| Top 1 Accuracy | 0.697 |
+
+## Optimizations
+| Optimization |  Value  |
+|--------------|---------|
+| Quantization | INT8 |
+
+## Network Inputs
+<table>
+    <tr>
+        <th width="200">Input Node Name</th>
+        <th width="100">Shape</th>
+        <th width="300">Description</th>
+    </tr>
+    <tr>
+        <td>tfl.quantize</td>
+        <td>(1, 224, 224, 3)</td>
+        <td>Single 224x224 RGB image with INT8 values between -128 and 127</td>
+    </tr>
+</table>
+
+## Network Outputs
+<table>
+    <tr>
+        <th width="200">Output Node Name</th>
+        <th width="100">Shape</th>
+        <th width="300">Description</th>
+    </tr>
+    <tr>
+        <td>MobilenetV2/Predictions/Reshape_11</td>
+        <td>(1, 1001)</td>
+        <td>Per-class confidence for 1001 ImageNet classes</td>
+    </tr>
+</table>

get_class_labels.sh

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+# Copyright (C) 2021 Arm Limited or its affiliates. All rights reserved.
+#
+# SPDX-License-Identifier: Apache-2.0
+#
+# 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
+#
+# 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.
+
+#!/usr/bin/env bash
+
+wget https://gist.githubusercontent.com/yrevar/942d3a0ac09ec9e5eb3a/raw/238f720ff059c1f82f368259d1ca4ffa5dd8f9f5/imagenet1000_clsidx_to_labels.txt
+python scripts/process_labels.py --path imagenet1000_clsidx_to_labels.txt
+
+rm imagenet1000_clsidx_to_labels.txt

mobilenet_v2_1.0_224_INT8.tflite

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+version https://git-lfs.github.com/spec/v1
+oid sha256:bd8d56b80557a5fca7acf14f61e5339285c02810f7d7afa714b9763fc4b86e95
+size 4020936