banglalekha-isolated-dataset 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 banglalekha-isolated-dataset.
Accuracy is the reported evaluation metric for banglalekha-isolated-dataset. Codesota tracks published model scores on this metric so readers can compare state-of-the-art results across sources and model families.
Higher is better
| Rank | Model | Trust | Score | Year | Links | Fix |
|---|---|---|---|---|---|---|
| 01 | AKHCRNet | verified | 96.8 | 2020 | Paper ↗Code ↗ | Looks wrong? |
Epochs is the reported evaluation metric for banglalekha-isolated-dataset. Codesota tracks published model scores on this metric so readers can compare state-of-the-art results across sources and model families.
Higher is better
| Rank | Model | Trust | Score | Year | Links | Fix |
|---|---|---|---|---|---|---|
| 01 | AKHCRNet | verified | 11 | 2020 | Paper ↗Code ↗ | Looks wrong? |
Cross Entropy Loss is the reported evaluation metric for banglalekha-isolated-dataset. Codesota tracks published model scores on this metric so readers can compare state-of-the-art results across sources and model families.
Higher is better
| Rank | Model | Trust | Score | Year | Links | Fix |
|---|---|---|---|---|---|---|
| 01 | AKHCRNet | verified | 0.22 | 2020 | Paper ↗Code ↗ | Looks wrong? |