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MSeg

A Composite Dataset for Multi-domain Semantic Segmentation

MSeg

MSeg is a composite dataset that unifies semantic segmentation datasets from different domains. The resulting composite dataset enables training a single semantic segmentation model that functions effectively across domains and generalizes to datasets that were not seen during training.

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Task
3D Semantic Segmentation
Annotation Types
Semantic Segmentation
220000
Items
316
Classes
80000
Labels
Models using this dataset
Last updated on 
January 20, 2022
Licensed under 
CC-BY
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