2021-01-08T11:59:59 n32185

QUT-HIA-DAF Capsicum Datasets

Viewed: 24

Datasets containing imagery of capsicums, captured under direct sunlight in a field condition and polytunnel environments. Intended for use training machine learning algorihtms for detection, classification and counting of fruit.

Data is made available with the paper:

Michael Halstead, Simon Denman, Clinton Fookes, Chris McCool, "Fruit Detection in the Wild: The Impact of Varying Conditions and Cultivar", DICTA, 2020.

Access rights

The owners of the dataset request that users of the dataset cite the following paper: Michael Halstead, Simon Denman, Clinton Fookes, Chris McCool, "Fruit Detection in the Wild: The Impact of Varying Conditions and Cultivar", DICTA, 2020.

Geographical area of data collection

kmlPolyCoords
153.649789,-9.210063 137.995957,-9.210063 137.995957,-29.177898 153.649789,-29.177898 153.649789,-9.210063

Publications

Fruit Detection in the Wild: The Impact of Varying Conditions and Cultivar by Michael Halstead, Simon Denman, Clinton Fookes and Chris McCool http://www.dicta2020.org/wp-content/uploads/2020/09/21_CameraReady.pdf

Research areas

Machine Learning
Computer Vision
Agricultural Robots

Cite this collection

Halstead, Michael; Denman, Simon; Fookes, Clinton; McCool, Chris (2020): QUT-HIA-DAF Capsicum Datasets. Queensland University of Technology. (Dataset) https://doi.org/10.25912/RDF_1610071192071

Partner institution

Deutsche Forschungsgemeinschaft https://www.dfg.de/en/

Licence


Creative Commons Attribution 4.0 (CC-BY)
http://creativecommons.org/licenses/by/4.0/

Copyright

© Queensland University of Technology, 2020.

Dates of data collection

From 2017-01-01 to 2018-12-31

Connections

Has association with
Clinton Fookes  (Researcher)
Has chief investigator
Simon Denman  (Researcher)

Contacts

Name: Dr Simon Denman
Phone: +61731389329

Other

Date record created:
2020-09-15T17:39:26
Date record modified:
2021-01-08T11:59:59
Record status:
Published - Open Access