Datasets › TextZoom
TextZoom
TextZoom is a super-resolution dataset that consists of paired Low Resolution – High Resolution scene text images. The images are captured by cameras with different focal length in the wild.
Source: https://github.com/JasonBoy1/TextZoom Image Source: https://github.com/JasonBoy1/TextZoom
Benchmarks archive 2025-07-28
All 2 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 | ||||
|---|---|---|---|---|---|---|
| Image Super-Resolution | TextZoom | NCAP Average Accuracy 63.7 | NCAP: Scene Text Image Super-Resolution with... | THINKWARE-AI/NCAP | 1 | Compare |
| self-supervised scene text recognition | TextZoom | CCD-ViT-Small Average PSNR (dB) 21.84 | Self-supervised Character-to-Character Distillation for... | tongkunguan/ccd | 1 | Compare |
Papers archive 2025-07-28
2 shown of 2 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 28. The Syntology column is from Syntology's graph (read 2026-09-24), stated per sample; it is not part of any archive number.
| Date | Samples run Syntology | |||
|---|---|---|---|---|
| NCAP: Scene Text Image Super-Resolution with Non-CAtegorical Prior | 1 | 1 | 1 Apr 2025 | not harvested |
| Self-supervised Character-to-Character Distillation for Text Recognition | 1 | 1 | 1 Nov 2022 | not harvested |
Dataset loaders archive 2025-07-28
1 loader as listed in the archive; links are outbound and not re-checked here.
Tasks archive 2025-07-28
License archive 2025-07-28
No licence recorded in the archive. Absence here is not a statement about the dataset's terms.
Modalities archive 2025-07-28
Languages archive 2025-07-28
No language tagged.
Variants archive 2025-07-28
- TextZoom
1 variant name, as the archive lists them.
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