Image Features for Washing Machine Base Load Age Grading

LR classifier achieved accuracy of 0.75, 0.75, 0.62, 0.75, and 1.00 for five fabric degradation stages. This dataset contains image features extracted from base load fabric samples subjected to 1–100 accelerated washing cycles, used to investigate computer vision for aging assessment. It was created by Shaojin Ma and uploaded to figshare on April 10, 2026.

Use Cases

• Training classifiers for fabric age grading based on extracted wrinkle and weave structure features.
• Comparing the performance of different ML models (kNN, MLP, LDA, LR) on textile image data.
• Investigating the relationship between accelerated washing cycles and measurable image features.
• Developing objective standards for washing machine performance testing protocols.

Strengths

• Features derived from five distinct degradation stages (C1-C5) representing 1-100 washing cycles.
• Model performance metrics are provided, including accuracy scores for each stage.
• The dataset is licensed under CC-BY-4.0, allowing for open reuse and modification.

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• The dataset is 9.5 KB, indicating a very small sample size.

Provenance

Source

figshare

Collection Method

Computer vision techniques applied to images of base load fabric samples.

Freshness

Last updated 2026-04-10 17:50:13; freshness should be verified.