added leaderboard into index.html

index.html

@@ -275,6 +275,104 @@ <h3>High-Quality Test and Val</h3>
                 <p>Manually labeled to ensure reliable evaluation</p>
             </div>
         </div>
+                <h2></h2>
+        <h2 class="fade-in">Leaderboard</h2>
+        <p class="fade-in">
+            <table width="80%" style="margin: 0 auto; border:0px solid;text-align:center">
+                <thead>
+                    <tr>
+                        <th align="center">Model Name (.tflite)</th>
+                        <th align="center">Input Size</th>
+                        <th align="center">RAM (KiB)</th>
+                        <th align="center">Flash (KiB)</th>
+                        <th align="center">MACs (MM)</th>
+                        <th align="center">Test Accuracy</th>
+                    </tr>
+                </thead>
+                <tbody>
+                    <tr>
+                        <td align="center"><a href="https://github.com/mit-han-lab/mcunet/blob/master/mcunet/model_zoo.py">mcunet-320kb-1mb_vww</a></td>
+                        <td align="center">(144,144,3)</td>
+                        <td align="center">393</td>
+                        <td align="center">923.76</td>
+                        <td align="center">56,022,934</td>
+                        <td align="center">85.6±0.34%</td>
+                    </tr>
+                    <tr>
+                        <td align="center"><a href="https://keras.io/api/applications/mobilenet/">MobileNetV2_0.25</a></td>
+                        <td align="center">(224,224,3)</td>
+                        <td align="center">1,244.5</td>
+                        <td align="center">410.55</td>
+                        <td align="center">36,453,732</td>
+                        <td align="center">84.9±0.11%</td>
+                    </tr>
+                    <tr>
+                        <td align="center"><a href="https://github.com/mit-han-lab/mcunet/blob/master/mcunet/model_zoo.py">mcunet-5fps_vww</a></td>
+                        <td align="center">(80,80,3)</td>
+                        <td align="center">226.5</td>
+                        <td align="center">624.55</td>
+                        <td align="center">11,645,502</td>
+                        <td align="center">82.9±0.29%</td>
+                    </tr>
+                    <tr>
+                        <td align="center"><a href="https://github.com/mit-han-lab/mcunet/blob/master/mcunet/model_zoo.py">mcunet-10fps_vww</a></td>
+                        <td align="center">(64,64,3)</td>
+                        <td align="center">168.5</td>
+                        <td align="center">533.84</td>
+                        <td align="center">5,998,334</td>
+                        <td align="center">81.7±0.28%</td>
+                    </tr>
+                    <tr>
+                        <td align="center"><a href="https://github.com/ARM-software/ML-zoo/tree/master/models/visual_wake_words">micronet_vww4_128_128_INT8</a></td>
+                        <td align="center">(128,128,1)</td>
+                        <td align="center">123.50</td>
+                        <td align="center">417.03</td>
+                        <td align="center">18,963,302</td>
+                        <td align="center">77.9±0.6%</td>
+                    </tr>
+                    <tr>
+                        <td align="center"><a href="https://github.com/ARM-software/ML-zoo/tree/master/models/visual_wake_words">micronet_vww3_128_128_INT8</a></td>
+                        <td align="center">(128,128,1)</td>
+                        <td align="center">137.50</td>
+                        <td align="center">463.73</td>
+                        <td align="center">22,690,291</td>
+                        <td align="center">77.8±0.56%</td>
+                    </tr>
+                    <tr>
+                        <td align="center"><a href="https://github.com/AndreaMattiaGaravagno/ColabNAS/tree/main/models">colabnask_8_c_5</a></td>
+                        <td align="center">(50,50,3)</td>
+                        <td align="center">32.5</td>
+                        <td align="center">44.56</td>
+                        <td align="center">2,135,476</td>
+                        <td align="center">77.3±0.37%</td>
+                    </tr>
+                    <tr>
+                        <td align="center"><a href="https://github.com/AndreaMattiaGaravagno/ColabNAS/tree/main/models">colabnask_4_c_5</a></td>
+                        <td align="center">(50,50,3)</td>
+                        <td align="center">22</td>
+                        <td align="center">18.49</td>
+                        <td align="center">688,790</td>
+                        <td align="center">75.7±0.18%</td>
+                    </tr>
+                    <tr>
+                        <td align="center"><a href="https://github.com/ARM-software/ML-zoo/tree/master/models/visual_wake_words">micronet_vww2_50_50_INT8</a></td>
+                        <td align="center">(50,50,1)</td>
+                        <td align="center">71.50</td>
+                        <td align="center">225.54</td>
+                        <td align="center">3,167,382</td>
+                        <td align="center">71.9±0.67%</td>
+                    </tr>
+                    <tr>
+                        <td align="center"><a href="https://github.com/AndreaMattiaGaravagno/ColabNAS/tree/main/models">colabnas_k_2_c_3</a></td>
+                        <td align="center">(50,50,3)</td>
+                        <td align="center">18.5</td>
+                        <td align="center">7.66</td>
+                        <td align="center">250,256</td>
+                        <td align="center">70.6±0.96%</td>
+                    </tr>
+                </tbody>
+            </table>
+        </p>
         <h2></h2>
         <h2 class="fade-in">Example Images</h2>
         <div class="image-grid">
@@ -328,4 +426,4 @@ <h2 class="fade-in">Contact</h2>
         </div>
     </footer>
 </body>
-</html>
+</html>