Datasets

subject: deep learning subject: River type: dataset

Total is 2 Results
River Obstacle Segmentation En-route By USV Dataset (ROSEBUD)

10.4231/MMJ2-NH88

Jalil Francisco Chavez Galaviz , Jianwen Li , Nina Mahmoudian ORCID logo , Reeve David Lambert ORCID logo , 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

Aerial Fluvial Image Dataset (AFID) for Semantic Segmentation

10.4231/B129-XD47

Li-Fan Wu , Nina Mahmoudian ORCID logo , 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

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