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.
Variants: WOST
This dataset is used in 1 benchmark:
| Task | Model | Paper | Date |
|---|---|---|---|
| Scene Text Recognition | CLIP4STR-H (DFN-5B) | CLIP4STR: A Simple Baseline for … | 2023-05-23 |
| Scene Text Recognition | CLIP4STR-L (DataComp-1B) | CLIP4STR: A Simple Baseline for … | 2023-05-23 |
| Scene Text Recognition | CLIP4STR-L | CLIP4STR: A Simple Baseline for … | 2023-05-23 |
| Scene Text Recognition | CLIP4STR-B | CLIP4STR: A Simple Baseline for … | 2023-05-23 |
| Scene Text Recognition | CCD-ViT-Base | Self-supervised Character-to-Character Distillation for Text … | 2022-11-01 |
Recent papers with results on this dataset: