This notebook demonstrates a TensorFlow/Keras implementation of the Hausdorff distance metric, visualized with synthetic image data. It uses `skimage.draw.circle` to generate a ground-truth circle image, then computes and displays the Hausdorff distance between predicted and actual binary masks via matplotlib. The visualization includes an inline image plot of the mask, rendered as an interactive matplotlib axes image, alongside the execution of the metric computation within the Keras backend.