Datasets:
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README.md
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@@ -33,9 +33,9 @@ Atomic multi-tag annotations for **K-STR-Bench** and **Union14M**. Each text cro
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Myounghun Han, Jin-Hyuk Hong · WACV 2027
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Accepted to **WACV 2027**.
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## Data Sources
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These files do not share one license. Union14M-Benchmark and Union14M-General are not separate licenses. An image keeps the license of the Union14M dataset it came from. Names and terms below follow the [Union14M source table](https://github.com/Mountchicken/Union14M/blob/main/docs/source_dataset.md). Unknown means that table does not state a license.
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## Statistics
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## Citation
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```bibtex
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@inproceedings{atomicmultitag2027,
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title = {An Atomic Multi-Tag Taxonomy for Fine-Grained Diagnosis of Scene Text Recognition Models},
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author = {Han,
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booktitle = {Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)},
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year = {2027}
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}
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Myounghun Han, Jin-Hyuk Hong · WACV 2027
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<img alt="Paper" title="The proceedings link will be available soon." src="https://img.shields.io/badge/Paper-WACV%202027-blue"> [](https://github.com/hoonisone/AtomicTags)
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Accepted to **WACV 2027**. Code and documentation are on [GitHub](https://github.com/hoonisone/AtomicTags).
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## Data Sources
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These files do not share one license. Union14M-Benchmark and Union14M-General are not separate licenses. An image keeps the license of the Union14M dataset it came from. Names and terms below follow the [Union14M source table](https://github.com/Mountchicken/Union14M/blob/main/docs/source_dataset.md). Unknown means that table does not state a license.
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<table>
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<thead>
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<tr>
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<th>Source</th>
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<th>Subset</th>
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<th>License / terms</th>
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</tr>
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</thead>
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<tbody>
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<tr><td>K-STR-Bench</td><td>GIST_Signboard</td><td>CC BY 4.0</td></tr>
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<tr><td>K-STR-Bench</td><td>KAIST_Corrected</td><td>CC BY-SA 3.0</td></tr>
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<tr><td>K-STR-Bench</td><td>AIHub_Standardized</td><td>Not included. Not redistributed; AIHub Terms of Use</td></tr>
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<tr><td>Union14M</td><td>KAIST</td><td>CC BY-SA 3.0</td></tr>
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<tr><td>Union14M</td><td>NEOCR</td><td>CC BY-NC-SA 4.0</td></tr>
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<tr><td>Union14M</td><td>Uber-Text</td><td>Unknown</td></tr>
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<tr><td>Union14M</td><td>RCTW</td><td>Unknown</td></tr>
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<tr><td>Union14M</td><td>IIIT-ILST</td><td>CC BY 4.0</td></tr>
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<tr><td>Union14M</td><td>MTWI</td><td>CC BY-NC 4.0</td></tr>
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<tr><td>Union14M</td><td>COCOTextV2</td><td>CC BY 4.0</td></tr>
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<tr><td>Union14M</td><td>LSVT</td><td>Unknown</td></tr>
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<tr><td>Union14M</td><td>MLT19</td><td>CC BY-NC 4.0</td></tr>
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<tr><td>Union14M</td><td>ReCTS</td><td>Unknown</td></tr>
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<tr><td>Union14M</td><td>ArT</td><td>Unknown</td></tr>
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<tr><td>Union14M</td><td>IntelOCR</td><td>Apache License 2.0</td></tr>
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<tr><td>Union14M</td><td>TextOCR</td><td>CC BY 4.0</td></tr>
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<tr><td>Union14M</td><td>HierText</td><td>CC BY-SA 4.0</td></tr>
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</tbody>
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</table>
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## Statistics
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<table>
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<thead>
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<tr>
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<th>True tags on a crop</th>
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<th>K-STR-Bench</th>
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<th>Union14M-General</th>
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<th>Union14M-Benchmark</th>
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</tr>
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</thead>
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<tbody>
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<tr><td>0</td><td>9,889</td><td>1,389</td><td>745</td></tr>
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<tr><td>1</td><td>4,902</td><td>5,465</td><td>1,450</td></tr>
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<tr><td>2</td><td>2,560</td><td>1,685</td><td>2,671</td></tr>
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<tr><td>3</td><td>1,892</td><td>852</td><td>2,100</td></tr>
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<tr><td>4</td><td>676</td><td>467</td><td>738</td></tr>
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<tr><td>5</td><td>135</td><td>115</td><td>156</td></tr>
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<tr><td>6</td><td>27</td><td>20</td><td>21</td></tr>
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<tr><td>7</td><td>3</td><td>1</td><td>6</td></tr>
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<tr><td>8</td><td>2</td><td>0</td><td>1</td></tr>
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</tbody>
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</table>
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## Citation
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```bibtex
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@inproceedings{atomicmultitag2027,
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title = {An Atomic Multi-Tag Taxonomy for Fine-Grained Diagnosis of Scene Text Recognition Models},
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author = {Han, MyoungHun and Hong, Jin-Hyuk},
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booktitle = {Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)},
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year = {2027}
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}
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