Journal
COMPUTER VISION - ACCV 2022, PT V
Volume 13845, Issue -, Pages 425-441Publisher
SPRINGER INTERNATIONAL PUBLISHING AG
DOI: 10.1007/978-3-031-26348-4_25
Keywords
Phylogeny; Dataset; Tree; Hierarchy; Hierarchical dataset; Rove; Staphylinidae; Phylogenetic tree
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We introduce a new dataset containing images of pinned insects with a known phylogeny, which can be used for clustering and deep hierarchical metric learning. This is the first dataset specifically created for generating phylogenetic trees. We also provide benchmarks for deep metric learning using state-of-the-art methods.
We present a new dataset of images of pinned insects from museum collections along with a ground truth phylogeny (a graph representing the relative evolutionary distance between species). The images include segmentations, and can be used for clustering and deep hierarchical metric learning. As far as we know, this is the first dataset released specifically for generating phylogenetic trees. We provide several benchmarks for deep metric learning using a selection of state-of-the-art methods.
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