title: Visualizing images from tensorflow dataset created from numpy arrays
body: <p>I have created a <code>tensorflow</code> dataset from two <code>numpy</code> arrays (one 4D array containing info on RGB images, namely number x size x size x channels, and one 2D array with the corresponding labels). I used</p>
  <p><code>dataset = tf.data.Dataset.from_tensor_slices((imgs, labels))</code></p>
  <p>to do so. I checked its length and it is correct. I now want to visualise example images. I have tried using</p>
  <p><code>vis = tfds.visualization.show_examples(dataset, ds_info=False)</code></p>
  <p>but it does not work, throwing an error <code>(&quot;AttributeError: 'TensorSliceDataset' object has no attribute 'supervised_keys'&quot;)</code>. What am I doing wrong?...</p>