Dataset Card for RefSegRS This is a FiftyOne dataset with 4420 samples. Installation If you haven't already, install FiftyOne: Usage NOTE: This dataset is .tif media, for best results view in Safari browser or a browser which supports displaying .tif Dataset Details Dataset Description RefSegRS is a referring remote sensing image segmentation (RRSIS) dataset that enables pixel level segmentation of objects in remote sensing imagery based on natural language descriptions. The dataset addresses the task of localizing and segmenting desired objects from remote sensing images using referring expressions that include categories, attributes, and spatial relationships. The dataset is built on top of the SkyScapes dataset, consisting of cropped and downsampled aerial RGB images with corresponding segmentation masks and natural language referring expressions. Images are captured from a top down view with 13 cm spatial resolution, featuring urban scenes with various objects including vehicles, roads, buildings, vegetation, and infrastructure elements. Curated by: Zhenghang Yuan, Lichao Mou, Yuansheng Hua, and Xiao Xiang Zhu (Technical University of Munich) Language(s) (NLP): English License:…
Runs entirely in your browser via DuckDB-Wasm — this dataset's real data file is loaded once, then queried locally. Nothing is sent to a server.
We use cookies for essential functionality and analytics. You can accept or reject analytics cookies.Cookie policy