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Sugar Beets 2016

Robot dataset for plant classification

Sugar Beets 2016

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.

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Task
Semantic Segmentation
Annotation Types
Semantic Segmentation
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Classes
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Models using this dataset
Last updated on 
January 20, 2022
Licensed under 
Unknown
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