Descriptor: Parasitoid Wasps and Associated Hymenoptera Dataset (DAPWH)
Joao Manoel Herrera Pinheiro, Gabriela Do Nascimento Herrera, Luciana Bueno Dos Reis Fernandes, Alvaro Doria Dos Santos, Ricardo V. Godoy, Eduardo A. B. Almeida, Helena Carolina Onody, Marcelo Andrade Da Costa Vieira, Angelica Maria Penteado-Dias, Marcelo Becker

TL;DR
This paper introduces a curated, annotated image dataset of parasitoid wasps and related Hymenoptera to facilitate the development of automated identification systems for these ecologically significant but taxonomically challenging insects.
Contribution
The creation of a high-resolution, annotated image dataset focusing on Neotropical Ichneumonidae and Braconidae, supporting advances in computer vision-based taxonomy.
Findings
Dataset contains 3,556 images with 1,739 annotated in COCO format.
Includes images of multiple Hymenoptera families to enhance model robustness.
Provides a foundation for automated identification of parasitoid wasps.
Abstract
Accurate taxonomic identification is the cornerstone of biodiversity monitoring and agricultural management, particularly for the hyper-diverse superfamily Ichneumonoidea. Comprising the families Ichneumonidae and Braconidae, these parasitoid wasps are ecologically critical for regulating insect populations, yet they remain one of the most taxonomically challenging groups due to their cryptic morphology and vast number of undescribed species. To address the scarcity of robust digital resources for these key groups, we present a curated image dataset designed to advance automated identification systems. The dataset contains 3,556 high-resolution images, primarily focused on Neotropical Ichneumonidae and Braconidae, while also including supplementary families such as Andrenidae, Apidae, Bethylidae, Chrysididae, Colletidae, Halictidae, Megachilidae, Pompilidae, and Vespidae to improve…
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