Datasets › LSUN
LSUN (Large-scale Scene UNderstanding Challenge)
The Large-scale Scene Understanding (LSUN) challenge aims to provide a different benchmark for large-scale scene classification and understanding. The LSUN classification dataset contains 10 scene categories, such as dining room, bedroom, chicken, outdoor church, and so on. For training data, each category contains a huge number of images, ranging from around 120,000 to 3,000,000. The validation data includes 300 images, and the test data has 1000 images for each category.
Source: Knowledge Guided Disambiguation for Large-Scale Scene Classification with Multi-Resolution CNNs Image Source: https://www.yf.io/p/lsun
Benchmarks archive 2025-07-28
All 10 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.
Papers archive 2025-07-28
30 shown of 36 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 867. The Syntology column is from Syntology's graph (read 2026-09-24), stated per sample; it is not part of any archive number.
The full list of 36 is in the JSON twin.
Dataset loaders archive 2025-07-28
4 loaders as listed in the archive; links are outbound and not re-checked here.
Tasks archive 2025-07-28
License archive 2025-07-28
Unknown
Modalities archive 2025-07-28
Languages archive 2025-07-28
No language tagged.
Variants archive 2025-07-28
- LSUN Roon Layout
- LSUN Bedroom 128 x 128
- LSUN Bedroom
- LSUN
- LSUN Horse 256 x 256
- LSUN Churches 256 x 256
- LSUN Cat 256 x 256
- LSUN Car 512 x 384
- LSUN Car 256 x 256
- LSUN Bedroom 64 x 64
- LSUN Bedroom 256 x 256
11 variant names, as the archive lists them.
Report a problem or propose a change · a person checks every report against the paper or source before anything changes; decisions are listed on /corrections