MMIFR: Multimodal Industry Focused Data Repository
Authors/Creators
- 1. Donghua University
- 2. Fudan Univetsity
- 3. Shanghai University of Engineering Science
Description
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.