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

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Categories

• Horticultural Crops
• Artificial Intelligence and Image Processing

Keywords

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

Licence

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.

History

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

Publisher

4TU.Centre for Research Data

Format

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

References

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

Funding

• NWO, ALW.FACCE.5

Organizations

Wageningen University & Research