Multimodal Fiber Material Recognition via FESEM, Raman, and NIR Spectroscopy

A multimodal dataset for material recognition, likely containing images and spectral data of fibers. Visual images were acquired using a field-emission scanning electron microscope (FESEM), Raman spectra using a Raman spectrometer, and near-infrared spectra using an NIR spectrometer. The dataset is 179.2 MB in size, authored by Weiqin zhu, and was last updated on 2026-05-01.

Use Cases

• Train material classification models based on combined visual and spectral features.
• Develop cross-modal data fusion techniques using FESEM images and Raman spectra.
• Benchmark multimodal learning algorithms for material science applications.
• Analyze correlations between microscopic structure (FESEM) and chemical composition (Raman/NIR).

Strengths

• Data is multimodal, combining three distinct measurement techniques (FESEM, Raman, NIR).
• Dataset size is 179.2 MB, suggesting a medium-scale collection.
• License is CC-BY-4.0, allowing for open sharing and reuse.

Limitations

• Row count and column-level documentation are unknown, limiting suitability assessment.
• Description metadata is limited; actual data structure and quality require manual inspection after download.

Provenance

Source

figshare

Collection Method

Acquired using a field-emission scanning electron microscope (FESEM), a Raman spectrometer, and a near-infrared spectrometer.

Time Range

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Freshness

Last updated 2026-05-01 12:56:45; freshness should be verified.

Geography

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