# Facial Landmark Detection on CHARLOTTE 1.0 (Full)

Source: [Facial Landmark Detection on CHARLOTTE 1.0 (Full)](<https://www.sota2.com/research/sota/facial-landmark-detection-on-charlotte-1-0-full>)

Collection index: [llms.txt](<https://www.sota2.com/research/llms.txt>)

Data updated: 2026-02-26T05:53:21.018Z

Evaluation of facial landmark localization accuracy on the full set of the CHARLOTTE 1.0 dataset, typically measured using Normalized Mean Error (NME W/H) and Failure Rate.

A research result applies to its stated dataset, split, metric and evaluation configuration. Compare like-for-like settings, preserve the metric's unit and direction, and distinguish paper-reported results from independent reproduction. The best result recorded here is not a claim of exhaustive, current global coverage.

| Scope | Recorded value |
| --- | --- |
| Task | Facial Landmark Detection |
| Dataset (including any stated split) | CHARLOTTE 1.0 (Full) |
| Metric | NME W/H |
| Unit | SCALAR |
| Direction | Lower is better |
| Results loaded | 3 of 3 |
| Coverage | All results currently returned for this benchmark |

Evaluation settings may differ between results. The original papers and recorded configurations are needed to establish comparability. A shared metric name alone does not establish an identical protocol.

## Metrics

- [NME W/H](<https://www.sota2.com/research/sota/facial-landmark-detection-on-charlotte-1-0-full.md?metric=NME%20W%2FH>): Lower is better; unit: SCALAR.

- [Failure Rate](<https://www.sota2.com/research/sota/facial-landmark-detection-on-charlotte-1-0-full.md?metric=Failure%20Rate>): Lower is better; unit: PERCENT.

## Recorded results

| Method | NME W/H | Result date | Report paper |
| --- | --- | --- | --- |
| GLL-SW Sparse | 0.0815 | Not recorded | 68fa79151e209131cea7c0a7 |
| GLL-SW Sparse | 0.0889 | Not recorded | 68fa79151e209131cea7c0a7 |
| 3FabRec | 0.1009 | Not recorded | 68fa79151e209131cea7c0a7 |

### GLL-SW Sparse

NME W/H: 0.0815. Result ID: 6995c4813badfaffe6c79dd3.

[Reporting paper](<https://www.sota2.com/research/paper/68fa79151e209131cea7c0a7.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa79151e209131cea7c0a7.md>)

[Implementation](<https://github.com/phflot/tfake>)

Recorded evaluation configuration: {"Training Dataset":"FAKE + T-FAKE","Confidence threshold":"sigma \< 2.2e-4"}. This record does not assert independent reproduction.

### GLL-SW Sparse

NME W/H: 0.0889. Result ID: 6995c4813badfaffe6c79dd2.

[Reporting paper](<https://www.sota2.com/research/paper/68fa79151e209131cea7c0a7.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa79151e209131cea7c0a7.md>)

[Implementation](<https://github.com/phflot/tfake>)

Recorded evaluation configuration: {"Training Dataset":"FAKE + T-FAKE","Confidence threshold":"sigma \< 6e-4"}. This record does not assert independent reproduction.

### 3FabRec

NME W/H: 0.1009. Result ID: 6995c4813badfaffe6c79dd1.

[Reporting paper](<https://www.sota2.com/research/paper/68fa79151e209131cea7c0a7.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa67961e209131cea173c1.md>)

[Implementation](<https://github.com/browatbn2/3FabRec>)

Recorded evaluation configuration: {"Training Dataset":"300W†"}. This record does not assert independent reproduction.

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