<?xml version='1.0' encoding='UTF-8'?><metadata xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:dcterms="http://purl.org/dc/terms/" xmlns="http://dublincore.org/documents/dcmi-terms/"><dcterms:title>Aphid Cluster Segmentation Dataset</dcterms:title><dcterms:identifier>https://doi.org/10.7910/DVN/N3YJXG</dcterms:identifier><dcterms:creator>Wang, Richard</dcterms:creator><dcterms:publisher>Harvard Dataverse</dcterms:publisher><dcterms:issued>2023-03-13</dcterms:issued><dcterms:modified>2023-03-13T04:51:55Z</dcterms:modified><dcterms:description>A 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.</dcterms:description><dcterms:subject>Agricultural Sciences</dcterms:subject><dcterms:subject>Computer and Information Science</dcterms:subject><dcterms:date>2023-03-13</dcterms:date><dcterms:contributor>Wang, Richard</dcterms:contributor><dcterms:dateSubmitted>2023-03-12</dcterms:dateSubmitted><dcterms:license>CC0 1.0</dcterms:license></metadata>