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Contains 277 aerial images (extracted from Bing Maps) and their corresponding aerial segmentation (binary and colored). Segmentation is built automatically from segmentation data downloaded from OpenStreeMaps. Data was downloaded from 4 cities in the US, 4 in Europe, 1 in Latin America, and 8 rural areas in the US, totalling 277 pairs of images (251 urban, 26 rural), each 1280x1280 pixels. In total, there are 13 classes (building, water, natural, highway, park, dirt road, tree, beach, parking, construction, industrial, footway and grass). The datasheet for this dataset is also provided, according to the instructions by Gebru, T., Morgenstern, J., Vecchione, B., Vaughan, J. W., Wallach, H., Iii, H. D., & Crawford, K. (2021). Datasheets for datasets. Communications of the ACM, 64(12), 86-92. For more information, please refer to the PDF file.
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
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