The algorithm would then find out this labeled collection of pictures to differentiate the designs and their attributes, such as circles without any corners and squares with 4 equal sides. Following training over the dataset of photos, the system can see a different image and identify what shape it finds. Semi-supervised anomaly detection techniqu