subject: RGB image dataset type: dataset
10.4231/A5B3-XV27
Andres P. Cruz, Brenden Lane, Carlos Gongora-Canul, Christian D. Cruz, Da-Young Lee, Darcy E. P. Telenko, Dong-Yeop Na, Edward J. Delp, Nathan M. Kleczewski, Sriram Baireddy
06/30/2021
Quantifying tar spot of corn intensity has traditionally been conducted by human raters through visual-based estimations. However, this traditional method is costly in terms of time and labor and prone to rater subjectivity. Furthermore, an objective, accu...
Botany and Plant Pathology contour analysis image maize RGB imagery plant disease intensity RGB image dataset stromata detection and quantification
10.4231/B129-XD47
Li-Fan Wu, Nina Mahmoudian, Zihan Wang
07/20/2022
Autonomous navigation of Unmanned Aerial Vehicle (UAV) along and Autonomous Surface Vehicle (ASV) within rivers and creeks has been a popular research area in recent years, where semantic segmentation neural networks have been implemented to recognize the...
Artificial Neural Network (ANN) autonomos vehicles Collision Avoidance deep learning drone Image Dataset Mechanical Engineering navigation RGB image dataset River Robotics semantic segmentation Unmanned Aerial Vehicle Wabash River
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