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A study by Shaojin Ma, uploaded to figshare in 2026, employed computer vision to grade the age of test fabric used in washing machine performance standards. The dataset likely contains computational results for k-nearest neighbors, multilayer perceptron, linear discriminant analysis, and logistic regression classifiers trained on image features from fabric samples subjected to 1–100 accelerated washing cycles. The logistic regression model achieved accuracy scores ranging from 0.62 to 1.00 across five degradation stages.
File format is XLS (Excel), requiring compatible software to open. License is CC-BY-4.0, requiring attribution.