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
10.4231/MMJ2-NH88
Jalil Francisco Chavez Galaviz , Jianwen Li , Nina Mahmoudian , Reeve David Lambert , Zihan Wang
06/12/2022
This dataset contains stills from video taken on Sugar Creek and the Wabash River in the US state of Indiana. Images are hand annotated to provide training and testing data for semantic segmentation networks.
autonomous and connected vehicles deep learning Mechanical Engineering River Robotics semantic segmentation
10.4231/0R47-4F65
Elizabeth Creech , Jacob Daniel Hosen , Peter Raymond
06/23/2021
Canopy cover values were extracted from hemispherical camera images from the Connecticut River watershed. Images were collected from June 2016 through April 2017.
Canopy Forestry and Natural Resources Riparian Zone River Stream
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