Datasets › WOST
WOST
The Weakly Occluded Scene Text (WOST) dataset is a public dataset for scene text segmentation. It is used to generate pixel-level annotations in scene text images 1. The dataset is designed to contain weakly annotated images, which means that the images are not fully annotated with pixel-level labels.
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 | WOST | CLIP4STR-H (DFN-5B) 1:1 Accuracy 90.9 | CLIP4STR: A Simple Baseline for Scene Text Recognition... | VamosC/CLIP4STR | 5 | 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 17. 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 | |||
|---|---|---|---|---|
| CLIP4STR: A Simple Baseline for Scene Text Recognition with Pre-trained Vision-Language Model | 1 | 4 | 23 May 2023 | ran 3 of 10 samples (7 unverified) |
| Self-supervised Character-to-Character Distillation for Text Recognition | 1 | 1 | 1 Nov 2022 | not harvested |
Dataset loaders archive 2025-07-28
No loader listed in the archive.
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
No modality tagged.
Languages archive 2025-07-28
No language tagged.
Variants archive 2025-07-28
- WOST
1 variant name, as the archive lists them.
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