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A Deep Learning Dataset for Tomato Pest Leafminer TUTA ABSOLUTA

appsOther research productkeyboard_double_arrow_right Image 04 Dec 2020 English Publisher:Zenodo
Authors: Rubanga, Denis Pastory; Mkonyi, Lilian; Mgaya Richard; Never Zekeya; Loyani K. Loyani; Sawahiko Shimada; Machuve, Dina; +1 Authors

doi: 10.5281/zenodo.4305416 , 10.5281/zenodo.4305415

A Deep Learning Dataset for Tomato Pest Leafminer TUTA ABSOLUTA

Abstract

The images of tomato leafminer (Tuta absoluta) were taken in in-house plots between August 2018 and May 2019 in Arusha, Tanzania. Under net-house that were controlled from other others. T.absoluta larvae were inoculated on the commonly grown tomato varieties at the early growth stage (herein, on the second day after transplanting). The images were taken for the first 2 weeks after inoculation. Images captured the canopy of the plants. File Description All Images are in the .zip files; "dataset_1_H.zip" has 1926 Images, dataset_1_NH.zip has 325 Images, dataset_2 .zip has 3482 Images and the files labels are in "file_labels.csv" the image file name in column "FileName" and respective label in column "Label", labels meaning "1" refer to healthy (plants not inoculated with T.absoluta larvae and "2" refer to T.absoluta affected plants. A total of 4341 image files are labelled.

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Keywords

TUTA ABSOLUTA, Deep Learning, Computer Vision

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