A large-scale aerial farmland image dataset for semantic segmentation of agricultural patterns. Collects 94,986 high-quality aerial images from 3,432 farmlands across the US, where each image consists of RGB and Near-infrared (NIR) channels with resolution as high as 10 cm per pixel.
Source: Agriculture-Vision: A Large Aerial Image Database for Agricultural Pattern AnalysisPaper | Code | Results | Date | Stars |
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