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The MMIFR data repository consists of three distinct components: MMIFR-D, MMIFR-FS, and MMIFR-P. The MMIFR-D dataset comprises a comprehensive assemblage of 5907 images accompanied by corresponding textual descriptions, notably facilitating the application of industrial equipment classification. In contrast, the MMIFR-FS dataset serves as an alternative variant characterized by the inclusion of 129 distinct classes and 5907 images, specifically catering to the task of few-shot learning within the industrial domain. Additionally, the MMIFR-P dataset consists of 142 textual-visual information pairs, making it suitable for detecting pairs of industrial equipment.
Multi-Modal, Muiti-Task, Industry, Dataset
Multi-Modal, Muiti-Task, Industry, Dataset
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