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New dataset "Minerals in the Wild" released for mineral characterization

Researchers have introduced "Minerals in the Wild," a new dataset designed to advance mineral characterization using hyperspectral imaging and X-ray fluorescence. The dataset contains over 1,100 rock specimens from Europe, each with corresponding hyperspectral and elemental composition data. This resource aims to address the lack of labeled data for developing and evaluating hyperspectral imaging-based mineral identification methods. AI

RANK_REASON The cluster describes the release of a new dataset for research purposes, detailed in an arXiv paper. [lever_c_demoted from research: ic=2 ai=0.4]

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New dataset "Minerals in the Wild" released for mineral characterization

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The cluster describes the release of a new dataset for research purposes, detailed in an arXiv paper. [lever_c_demoted from research: ic=2 ai=0.4]
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COVERAGE [2]

  1. arXiv cs.LG TIER_1 English(EN) · Eleftheria Tetoula-Tsonga (Institute of Communication and Computer Systems, Athens, Greece), George Arvanitakis (Geonova, Athens, Greece), Theodoros Giannakas (Institute of Communication and Computer Systems, Athens, Greece) ·

    Minerals in the Wild: A Hyperspectral-XRF Dataset for Elemental Composition Estimation

    arXiv:2608.30537v1 Announce Type: cross Abstract: Rapid mineral characterization is essential for applications ranging from mineral exploration to industrial ore processing. To this end, Hyperspectral Imaging (HSI) has emerged as a promising sensing modality thanks to its fine sp…

  2. Hugging Face Daily Papers TIER_1 English(EN) ·

    Minerals in the Wild: A Hyperspectral-XRF Dataset for Elemental Composition Estimation

    Rapid mineral characterization is essential for applications ranging from mineral exploration to industrial ore processing. To this end, Hyperspectral Imaging (HSI) has emerged as a promising sensing modality thanks to its fine spectral resolution, enabling mineral discrimination…