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. 2022 Oct 14;12:17232. doi: 10.1038/s41598-022-22291-0

Table 5.

Comparison of OP-AlexNet against Trans-ONN.

Network Train dataset Test dataset # Pixels shift in each image of translated train images # Pixels shift in each image of translated test images Accuracy (%)
1 OP-AlexNet Original + translated images Original + translated images 3, 5, − 3, − 5 4, 6, − 4, − 6 97.69
2 OP-AlexNet Original images Original + translated images 4, 6, − 4, − 6 61.90
3 Trans-ONN-vert-GAP Original images Original + translated images 4, 6, − 4, − 6 98.13