Raw data from Yellow Sticky Traps with insects for training of deep learning Convolutional Neural Network for object detection (dataset)

Raw data from Yellow Sticky Traps with insects for training of deep learning Convolutional Neural Network for object detection

doi:10.4121/uuid:8b8ba63a-1010-4de7-a7fb-6f9e3baf128e

Datacite citation style:

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

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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.

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