This dataverse contains datasets generated by the Robotic Vision Laboratory (RVL) at the University of Texas at Arlington. Directed by Prof. William J. Beksi, the objective of the RVL is to promote basic research, education, and outreach in robot perception, robot learning, and autonomous systems. The long-term goal of the RVL is to enable machines to learn from their interactions with the physical world and autonomously acquire skills necessary to execute complex tasks over time.
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CitDet
Apr 12, 2024 - Agriculture
Jordan A. James; Heather K. Manching; Matthew R. Mattia; Kim D. Bowman; Amanda M. Hulse-Kemp; William J. Beksi, 2024, "CitDet", https://doi.org/10.18738/T8/QFVHQ5, Texas Data Repository, V1
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 th...
TexCot22
Jan 23, 2024 - Agriculture
Md Ahmed Al Muzaddid; William J. Beksi, 2024, "TexCot22", https://doi.org/10.18738/T8/5M9NCI, Texas Data Repository, V2
The TexCot22 dataset is a set of cotton crop video sequences for training and testing multi-object tracking methods. Each tracking sequence is 10 to 20 seconds in length. The dataset contains of a total of 30 sequences of which 17 are for training and the remaining 13 are for tes...
Agriculture(University of Texas at Arlington)
Dec 22, 2023
This dataverse contains agricultural datasets created by the Robotic Vision Laboratory at the University of Texas at Arlington.
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