Damaged Tree Leaves from Vermont, 2021-2022 Lymantria Dispar Outbreak
by Karson, Jennifer / Jennifer L. Karson Dataverse·Updated 2mo ago
Available on 1 platform
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Description
Approximately 1,600 tree leaves selected from a collection of over 10,000 damaged leaves gathered in Colchester, Vermont, USA during Lymantria dispar outbreak years 2021 and 2022. The leaves were photographed by the University of Vermont Plant Machine Design Group and include samples of second-generation regrowth and computationally remediated leaves. A full dataset release is planned in conjunction with forthcoming publications and art exhibitions.
Use Cases
Training computer vision models for leaf damage classification based on the curated collection of insect-damaged leaves.
Studying plant regeneration patterns based on the sample of second flush leaves from a Quercus rubra.
Exploring generative AI applications in ecology based on the computationally remediated leaves created with a customized CycleGAN.
Analyzing the visual impact of Lymantria dispar outbreaks on North American tree species based on the described collection.
Strengths
Approximately 1,600 curated leaf images provide a focused initial release.
Includes a sample of second-generation regrowth leaves, offering data on plant recovery.
Contains computationally remediated leaves, introducing a novel, speculative data type.
Sourced from a larger collection of over 10,000 leaves, indicating a substantial underlying resource.
Limitations
Column-level documentation is absent; field semantics must be inferred after download.
Row count is unknown, which may limit suitability assessment.
The dataset is an initial curated release; a full release is pending future publications.
Provenance
Source
Jennifer Karson, University of Vermont Plant Machine Design Group
Collection Method
Leaves were collected by the author in Colchester, Vermont, and photographed.
Time Range
2021-2022
Freshness
Last updated 2026-05-02 16:14:41; freshness should be verified.
Geography
Colchester, Vermont, USA
License is unknown; terms of use must be verified before application.