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Sugar Beets 2016
Robot dataset for plant classification
Sugar Beets 2016 is a robot dataset for plant classification as well as localization and mapping that covers the relevant stages for robotic intervention and weed control. It contains around 5TB of data recorded from a robot with a 4-channel multi-spectral camera and a RGB-D sensor to capture detailed information about the plantation.
View author website
Task
Semantic Segmentation
Annotation Types
Semantic Segmentation
Items
Classes
Labels
Models using this dataset
Last updated on
January 20, 2022
Licensed under
Unknown
