Subject
Creator
- Andres P. Cruz 1
- Brenden Lane 1
- Carlos Gongora-Canul, 0000-0003-2392-193X 1
- Christian D. Cruz, 0000-0002-2287-6754 1
- Da-Young Lee, 0000-0002-1484-1199 1
- Darcy E. P. Telenko, 0000-0003-0357-1493 1
- Dong-Yeop Na 1
- Edward J. Delp 1
- Li-Fan Wu 1
- Nathan M. Kleczewski 1
Type
- Dataset 2
Date
subject: RGB image dataset type: dataset
Total is 2 Results
Aerial Fluvial Image Dataset (AFID) for Semantic Segmentation
10.4231/B129-XD47
Li-Fan Wu
,
Nina Mahmoudian
,
Zihan Wang
07/20/2022
816 2K/2.7K per-pixel annotated images with 8 classes: River, Boat, Bridge, Sky, Forest vegetation, Dry sediment, Drone self and Obstacle in river. Fluvial scenes are from Wabash River and Wildcat Creek in Indiana, USA.
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
Contour-based detection and quantification of tar spot stromata using RGB images of maize leaves
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
This dataset contains RGB images of the tar spot-infected corn leaves created for testing algorithm that uses contour analysis-based quantification of tar spot stromata.
Botany and Plant Pathology contour analysis image maize RGB imagery plant disease intensity RGB image dataset stromata detection and quantification
Display #
Results 1 - 2 of 2