Document Type
Dataset
Source Publication Title
DOI
https://doi.org/10.32855/dataset.2024.05.005
Production/Collection Date
10-01-2021
Production/Collection Location
Fort Pierce, FL, USA
Depositor
William Beksi
Deposit Date
5-17-2024
Data Type
Image
Abstract
The CitDet dataset is composed of images captured at the USDA Agricultural Research Service Subtropical Insects and Horticulture Research Unit in Fort Pierce, FL, USA. Data was collected between October 2021 and October 2022. 579 images were captured from different sections of the orchard using the open-source application Field Book on Android tablets. While collecting images, we faced the camera in a portrait orientation directly centered on the tree of interest. All images were taken at the edge of the soil in the tree row to simulate a ground-based robot imaging the tree while moving between two rows of trees. CitDet contains fruit of different colors and sizes. All trees were imaged from both the sunny and shady sides of the tree row and imaging was done over multiple days to account for variations in weather and lighting conditions. The imaged trees consist of over 50 different varieties of citrus. All images include a timestamp, tree ID, and the side of the tree imaged in the file name.
Disciplines
Computer Sciences | Engineering
Publication Date
4-12-2024
Language
English
License
This work is licensed under a Creative Commons Attribution-NonCommercial-Share Alike 4.0 International License.
Recommended Citation
James, Jordan A.; Manching, Heather K.; Mattia, Matthew R.; Bowman, Kim D.; Hulse-Kemp, Amanda M.; and Beksi, William J., "CitDet" (2024). Computer Science and Engineering Datasets. 1.
https://mavmatrix.uta.edu/cse_datasets/1