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

  • Ard Nieuwenhuizen (Creator)
  • Jochen Hemming (Creator)
  • Dirk Janssen (Creator)
  • H.K. Suh (Creator)
  • L. Bosmans (Creator)
  • V. Sluydts (Creator)
  • N. Brenard (Creator)
  • E. Rodríguez (Creator)
  • M.D.M. Tellez (Creator)

Dataset

Description

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.
Date made available15 Mar 2019
PublisherWageningen University & Research
Date of data production2018 - 2019

Research Output

Detection and classification of insects on stick-traps in a tomato crop using Faster R-CNN

Nieuwenhuizen, A. T., Hemming, J. & Suh, H. K., 26 Sep 2018. 4 p.

Research output: Contribution to conferenceConference paperAcademic

Open Access
  • Detection and classification of insects on stick-traps in a tomato crop using Faster R-CNN

    Nieuwenhuizen, A. T., Hemming, J. & Suh, H. K., 26 Sep 2018.

    Research output: Contribution to conferencePosterAcademic

    Open Access

    Cite this

    Nieuwenhuizen, A. T. (Creator), Hemming, J. (Creator), Janssen, D. (Creator), Suh, H. K. (Creator), Bosmans, L. (Creator), Sluydts, V. (Creator), Brenard, N. (Creator), Rodríguez , E. (Creator), Tellez, M. D. M. (Creator) (15 Mar 2019). Raw data from Yellow Sticky Traps with insects for training of deep learning Convolutional Neural Network for object detection. Wageningen University & Research. 10.4121/uuid:8b8ba63a-1010-4de7-a7fb-6f9e3baf128e