Datasets › SVT
SVT (Street View Text Dataset)
The Street View Text (SVT) dataset was harvested from Google Street View. Image text in this data exhibits high variability and often has low resolution. In dealing with outdoor street level imagery, we note two characteristics. (1) Image text often comes from business signage and (2) business names are easily available through geographic business searches. These factors make the SVT set uniquely suited for word spotting in the wild: given a street view image, the goal is to identify words from nearby businesses.
Note: the dataset has undergone revision since the time it was evaluated in this publication. Please consult the ICCV2011 paper for most up-to-date results.
Source: Street View Text Dataset
Image source: Street View Text Dataset
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) | Paper | Code | ||||
|---|---|---|---|---|---|---|
| Scene Text Recognition | SVT | CLIP4STR-H (DFN-5B) Accuracy 99.1 | CLIP4STR: A Simple Baseline for Scene Text Recognition... | VamosC/CLIP4STR | 37 | Compare |
Papers archive 2025-07-28
30 shown of 32 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 35. 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 32 is in the JSON twin.
Dataset loaders archive 2025-07-28
2 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
- SVT
1 variant name, as the archive lists them.
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