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New dataset aids computer vision identification of parasitoid wasps

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Researchers have introduced the Descriptor: Parasitoid Wasps and Associated Hymenoptera Dataset (DAPWH), a new image collection aimed at improving automated identification of crucial insect groups. The dataset comprises 3,556 high-resolution images, with a focus on Neotropical Ichneumonidae and Braconidae families. A significant portion of these images, 1,739, are annotated in COCO format, detailing insect bodies, wing venation, and scale bars to support computer vision model development. AI

IMPACT Provides a specialized dataset to advance computer vision models for insect identification, potentially aiding biodiversity and agricultural monitoring.

RANK_REASON This is a research paper describing a new dataset for computer vision applications.

Read on arXiv cs.AI →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

New dataset aids computer vision identification of parasitoid wasps

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COVERAGE [1]

  1. arXiv cs.AI TIER_1 English(EN) · 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 ·

    Descriptor: Parasitoid Wasps and Associated Hymenoptera Dataset (DAPWH)

    arXiv:2602.20028v3 Announce Type: replace-cross 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 Braconid…

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