Abstract Deep convolutional neural networks. assisted by architectural design strategies. make extensive use of data augmentation techniques and layers with a high number of feature maps to embed object transformations. That is highly inefficient and for large datasets implies a massive redundancy of features detectors. https://www.spidertattooz.com/Kaiser-Copy-Stand-RS-1-with-RA-1-Arm-40-Counterbalanced-Column-and-18-x-20-Baseboard/