Deployed 0cd98c6 with MkDocs version: 1.6.1

collect-new-images/index.html

@@ -756,7 +756,7 @@
 <p>The neural network is trained based on a set of images that have already been collected over time. If your digits are included or at least very similar to included images, the chance is very high that the neural network is working fine for you as well.</p>
 <p>The neural network configuration is stored in the TensorFlow Lite format as <code>*.tfl</code> or <code>*.tflite</code> in the <code>/config</code> directory on the SD card. A model can be updated (or a new one added) by uploading the new file and activating it on the configuration page or in the config file <code>/config/config.ini</code>.</p>
 <p>In order to incorporate new digits a training set of images is required. The training images needs to be collected in the final setup with the help of the <code>Digits</code> or <code>Analog</code> log settings (not to be confused with the <code>Data</code> or <code>Debug</code> log). Enable the logging of the images on the configuration page or in the config file <code>/config/config.ini</code>:</p>
-<p><img alt="" src="../img/enable_log_image.jpg"/></p>
+<p><img alt="Enable Log Image" src="../img/enable_log_image.jpg"/></p>
 <p>Now be patient! You have to wait until it has collected an image of each digit of every type. They will be placed on the SD card in the folder <code>/log/digit/</code> resp. <code>/log/analog/</code>.</p>
 <p>After some days, there will be a lot of images, many of them very similar. Because of this, it is important to select only a subset of them for the model training.</p>
 <p>The tools shown below can help you with that.</p>