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Synscapes

Introduced by Magnus Wrenninge et al. in Synscapes: A Photorealistic Synthetic Dataset for Street Scene Parsing archive 2025-07-28

Synscapes is a synthetic dataset for street scene parsing created using photorealistic rendering techniques, and show state-of-the-art results for training and validation as well as new types of analysis.

Source: Synscapes: A Photorealistic Synthetic Dataset for Street Scene Parsing Image Source: https://7dlabs.com/synscapes-overview

Benchmarks archive 2025-07-28

All 1 leaderboard whose dataset resolves to this page shown (sort by any header). "First row" is the archive's own first row at snapshot, in the archive's row order; nothing here re-ranks and metric direction is not asserted.

First row (archive order)PaperCode
Domain Adaptation Synscapes-to-Cityscapes ProDA+CRA mIoU 60.2 Cross-Region Domain Adaptation for Class-level Alignment — 3 Compare

Papers archive 2025-07-28

3 shown of 3 papers with a leaderboard row on this dataset's benchmarks, newest first. The archive's own "papers using this dataset" list was never published, so this is the benchmark-backed subset; the archive's count for this dataset is 46. The Syntology column is from Syntology's graph (read 2026-09-24), stated per sample; it is not part of any archive number.

DateSamples run Syntology
Cross-Region Domain Adaptation for Class-level Alignment 0 1 14 Sep 2021 not harvested
Unsupervised Intra-domain Adaptation for Semantic Segmentation through Self-Supervision 2 1 16 Apr 2020 ran 2 of 8 samples (6 unverified)
Learning to Adapt Structured Output Space for Semantic Segmentation 12 1 28 Feb 2018 ran 6 of 7 samples (1 unverified; 7 pointer-only for licence)

Dataset loaders archive 2025-07-28

No loader listed in the archive.

Tasks archive 2025-07-28

License archive 2025-07-28

Custom (non-commercial, attribution)

Modalities archive 2025-07-28

Languages archive 2025-07-28

No language tagged.

Variants archive 2025-07-28

  • Synscapes to BDD100K
  • Synscapes
  • Synscapes-to-Cityscapes

3 variant names, as the archive lists them.

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