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LuoJiaHOG: A Hierarchy Oriented Geo-aware Image Caption Dataset for Remote Sensing Image-Text Retrival
March 19, 2024, 4:48 a.m. | Yuanxin Zhao, Mi Zhang, Bingnan Yang, Zhan Zhang, Jiaju Kang, Jianya Gong
cs.CV updates on arXiv.org arxiv.org
Abstract: Image-text retrieval (ITR) plays a significant role in making informed decisions for various remote sensing (RS) applications. Nonetheless, creating ITR datasets containing vision and language modalities not only requires significant geo-spatial sampling area but also varing categories and detailed descriptions. To this end, we introduce an image caption dataset LuojiaHOG, which is geospatial-aware, label-extension-friendly and comprehensive-captioned. LuojiaHOG involves the hierarchical spatial sampling, extensible classification system to Open Geospatial Consortium (OGC) standards, and detailed caption generation. …
abstract applications arxiv cs.cv dataset datasets decisions geo image language making retrieval role sampling sensing spatial text type vision
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