ImageNet Validation Set Compressed by the DAC Algortihm

This repository contains the results of the compression of ImageNet validation set (50,000 images, 1,000 classes) by Discrete Atomic Compression (DAC) with the quality loss settings UBMAD = 155 References Discrete Atomic Compression: Makarichev, V.; Vasilyeva, I.; Lukin, V.; Vozel, B.; Shelestov, A.; Kussul, N. Discrete Atomic Transform-Based Lossy Compression of Three-Channel Remote Sensing Images with Quality Control. Remote Sens. 2022, 14, 125. DOI: https://doi.org/10.3390/rs14010125. ImageNet: Russakovsky, O.; Deng, J.; Su, H.; Krause, J.; Satheesh, S.; Ma, S.; Huang, Z.; Karpathy, A.; Khosla, A.; Bernstein, M.; Berg, A.C.; Fei-Fei, L. ImageNet Large Scale Visual Recognition Challenge. Int. J. Comput. Vis. 2015, 115, pp. 211--252. DOI: https://doi.org/10.1007/s11263-015-0816-y.