Datasets › Sim10k
Sim10k
SIM10k is a synthetic dataset containing 10,000 images, which is rendered from the video game Grand Theft Auto V (GTA5).
Source: Cross-domain Object Detection through Coarse-to-Fine Feature Adaptation Image Source: https://arxiv.org/pdf/1610.01983.pdf
Benchmarks archive 2025-07-28
All 3 leaderboards 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) | Paper | Code | ||||
|---|---|---|---|---|---|---|
| Unsupervised Domain Adaptation | SIM10K to Cityscapes | ALDI++ mAP@0.5 77.8 | Align and Distill: Unifying and Improving Domain... | justinkay/aldi +1 | 13 | Compare |
| Unsupervised Domain Adaptation | SIM10K to BDD100K | DDT mAP@0.5 58.3 | Diffusion Domain Teacher: Diffusion Guided Domain... | heboyong/Diffusion-Domain-Teacher | 3 | Compare |
| Domain Adaptation | Sim10k | MILA mAP 57.4 | MILA: Memory-Based Instance-Level Adaptation for... | hitachi-rd-cv/MILA | 1 | Compare |
Papers archive 2025-07-28
10 shown of 10 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 92. The Syntology column is from Syntology's graph (read 2026-09-24), stated per sample; it is not part of any archive number.
Dataset loaders archive 2025-07-28
No loader listed in the archive.
Tasks archive 2025-07-28
License archive 2025-07-28
Modalities archive 2025-07-28
Languages archive 2025-07-28
No language tagged.
Variants archive 2025-07-28
- SIM10K to Cityscapes
- SIM10K to BDD100K
- Sim10k
3 variant names, as the archive lists them.
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