Data for: Dataset of annotated food crops and weed images for robotic computer vision control

Published: 26 April 2021| Version 1 | DOI: 10.17632/nj4vtk4tt6.1
Contributor:
Kaspars Sudars

Description

The dataset is composed of 1176 images (folder "raw images") in which 6 food crops and 8 weed species are identified, altogether 7853 annotations were made in total. Three RGB digital cameras were used for image capturing: Intel RealSense D435, Canon EOS 800D, and Sony W800. The images were taken on food crops and weeds grown in controlled environment and field conditions at different growth stages. Folder "annotations" consists of annotated XML files related to each raw image.

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Categories

Computer Vision, Precision Agriculture

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