Adience
Benchmarks
| Task Name | Dataset Name | SOTA Result | Trend | |
|---|---|---|---|---|
| Face Image Quality Assessment | Adience | AUC-EDC (FMR=1e-3)0.5677 | 27 | |
| Face Image Quality Assessment | Adience v1 (test) | pAUC @ FMR 1e-317.3394 | 26 | |
| Face Recognition Confidence Calibration | Adience | ECE1.14 | 22 | |
| Face Image Quality Assessment | Adience (test) | pAUC (FMR=1e-3)0.0145 | 19 | |
| Gender Classification | Adience (cross-validation) | Exact Accuracy93.24 | 18 | |
| Ordinal Classification | Adience | MAE0.5033 | 15 | |
| Ordinal Classification | Adience official (test) | MAE0.4929 | 15 | |
| Face Recognition | Adience | FNMR at FMR=1e-30.0228 | 15 | |
| Age Estimation | Adience | Exact Accuracy79.55 | 11 | |
| Age Estimation | Adience | Accuracy60.5 | 9 | |
| Age Group Classification | Adience (cross-validation) | Exact Acc67.3 | 8 | |
| Age Group Classification | Adience | Accuracy67.3 | 7 | |
| Age Estimation | Adience (test) | Age Accuracy69.43 | 6 | |
| Age Group Classification | Adience | Accuracy62.6 | 6 | |
| Facial Age Estimation | Adience (test) | Exact Accuracy56.01 | 6 | |
| Ordinal Regression | Adience | MAE0.45 | 5 | |
| Gender Classification | Adience | Accuracy93.8 | 5 | |
| Gender Estimation | Adience (test) | Gender Accuracy97.39 | 4 | |
| Gender Classification | Adience (val) | Accuracy96.51 | 3 | |
| Age Estimation | Adience (val) | Age Accuracy68.69 | 3 | |
| Fine-grained Image Classification | Adience Age (test) | Accuracy64 | 3 | |
| Fine-grained Image Classification | Adience Gender (test) | Accuracy94.6 | 3 | |
| Age Obfuscation | Adience (test) | U-ID Accuracy50.05 | 1 | |
| Gender Obfuscation | Adience (test) | Accuracy (U-ID)72.55 | 1 | |
| Suspicious Object Detection | Adience (test) | mAP500.94 | 1 |
Showing 25 of 26 rows