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Description
SUM Parts is a benchmark dataset for part-level semantic segmentation of urban textured meshes. It covers 2.5 square kilometers and includes annotations for 21 classes such as terrain, vegetation, water, and building components. The dataset was created by author gwxgrxhyz and last updated on June 21, 2025.
Use Cases
Training models for part-level semantic segmentation of urban environments based on textured mesh data.
Benchmarking segmentation algorithms on a diverse set of 21 urban object classes.
Developing applications for urban planning and analysis using detailed 3D scene annotations.
Strengths
Covers a substantial urban area of 2.5 square kilometers.
Provides annotations for a diverse set of 21 semantic classes.
Limitations
Column-level documentation is absent; field semantics must be inferred after download.
Row count and dataset scale are unknown, which may limit suitability assessment.
Provenance
Source
huggingface
Freshness
Last updated 2025-06-21 20:55:12; freshness should be verified.
Geography
Urban area covering 2.5km².
License is unknown; terms of use must be verified before application.