stdw 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 stdw.
Ap is the reported evaluation metric for stdw. 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 | RetinaNet | verified | 0.78 | 2022 | Paper ↗Code ↗ | Looks wrong? |
| 02 | Selective Search | verified | 0.61 | 2022 | Paper ↗Code ↗ | Looks wrong? |
Iou is the reported evaluation metric for stdw. 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 | RetinaNet | verified | 0.50 | 2022 | Paper ↗Code ↗ | Looks wrong? |
| 02 | Selective Search | verified | 0.50 | 2022 | Paper ↗Code ↗ | Looks wrong? |