Nieuwenhuizen, A.T. (Ard); Hemming, J. (Jochen); Janssen, D. (Dirk); Suh, H.K. (Hyun); Bosmans, L. (Lien) et. al. (2019): Raw data from Yellow Sticky Traps with insects for training of deep learning Convolutional Neural Network for object detection. Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/uuid:8b8ba63a-1010-4de7-a7fb-6f9e3baf128e

Dataset

• Artificial Intelligence and Image Processing
• Horticultural Crops

Conevolutional Neural Network (CNN), deep learning, Greenhouse whitefly, insects, Macrolophus, Macrolophus pygmaeus, Nesidiocoris, object detection, sticky trap, Trialeurodes vaporariorum, whitefly, yellow sticky trap

CC0

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by A.T. (Ard) Nieuwenhuizen , J. (Jochen) Hemming , D. (Dirk) Janssen , H.K. (Hyun) Suh , L. (Lien) Bosmans , V. (Vincent) Sluydts , N. (Nathalie) Brenard , E. (Estefanía) Rodríguez , M.D.M. (Maria del Mar) Tellez

On yellow sticky traps that were hanging in commercial greenhouses, insects were collected. The following insects were annotated on the yellow sticky traps: Whitefly, Macrolophus and Nesidiocoris. The dataset is suited to training deep learning convolutional neural networks for object detection.

• 2019-03-15 first online, published, posted

4TU.Centre for Research Data

media types: application/zip, image/jpeg, text/plain, text/xml

• http://edepot.wur.nl/463457
• http://edepot.wur.nl/463461

• NWO, ALW.FACCE.5

Wageningen University & Research