This is a live demonstration of the Label-free Activation Map, an eXplainable Artificial Intelligence (XAI)
method for Convolutional Neural Networks (CNNs). It generates a heatmap derived from the raw activation map
extracted from the final convolutional layer. Unlike traditional methods, this approach doesn't depend on labels
and necessitates only a single forward pass. In this demonstration, we employ a pre-trained ResNet50 model
trained on the ImageNet dataset.