read-2016 is a state-of-the-art machine learning benchmark indexed on Codesota. This page tracks published model results, top scores per metric, and the SOTA timeline for read-2016.
Wer is the reported evaluation metric for read-2016. Codesota tracks published model scores on this metric so readers can compare state-of-the-art results across sources and model families.
Lower is better
| Rank | Model | Trust | Score | Year | Links | Fix |
|---|---|---|---|---|---|---|
| 01 | DAN | verified | 13.63 | 2022 | Paper ↗Code ↗ | Looks wrong? |
| 02 | HTR-VT(line-level) | verified | 16.5 | 2024 | Paper ↗Code ↗ | Looks wrong? |
Cer is the reported evaluation metric for read-2016. Codesota tracks published model scores on this metric so readers can compare state-of-the-art results across sources and model families.
Lower is better
| Rank | Model | Trust | Score | Year | Links | Fix |
|---|---|---|---|---|---|---|
| 01 | DAN | verified | 3.22 | 2022 | Paper ↗Code ↗ | Looks wrong? |
| 02 | HTR-VT(line-level) | verified | 3.90 | 2024 | Paper ↗Code ↗ | Looks wrong? |