Aphid Cluster Segmentation Datasetdoi:10.7910/DVN/N3YJXGHarvard Dataverse2023-03-131Wang, Richard, 2023, "Aphid Cluster Segmentation Dataset", https://doi.org/10.7910/DVN/N3YJXG, Harvard Dataverse, V1Aphid Cluster Segmentation Datasetdoi:10.7910/DVN/N3YJXGWang, RichardHarvard DataverseWang, RichardWang, Richard2023-03-12Agricultural SciencesComputer and Information ScienceA dataset for the semantic segmentation of aphid clusters in sorghum fields. The dataset is made up of 54,742 images and their corresponding masks. From initial high-resolution images, we randomly shuffled and split the images into 10 separate groups from which we generated patches at three separate scales with a 10% overlap. The three scales 0.132Hx0.132W, 0.263Hx0.263, and 0.525Hx0.525W have 36478, 14628, and 3636 images respectively.<a href="http://creativecommons.org/publicdomain/zero/1.0">CC0 1.0</a>AphidSeg.z01application/octet-streamAphidSeg.z02application/octet-streamAphidSeg.z03application/octet-streamAphidSeg.zipapplication/zipcombine_and_unzip.shtext/x-shREADME.MDapplication/octet-stream