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Model Zoo

JiankangDeng edited this page Jul 24, 2018 · 19 revisions

InsightFace Model Zoo

1. Face Detection models.

SSH model_v1 on BaiduDrive and Dropbox

Evaluation on WIDER FACE:

Impelmentation Easy-Set Medium-Set Hard-Set Speed
MTCNN 0.851 0.820 0.607 CPU realtime
Original Caffe SSH 0.93123 0.92106 0.84582 GPU realtime
Our SSH Model_v1 0.93394 0.92187 0.83682 GPU realtime

2. Face Alignment models.

2.1 2D Face Alignment

2.2 3D Face Alignment

2.3 Dense Face Alignment

3. Face Recognition models.

3.1 LResNet100E-IR,ArcFace@ms1m-refine-v2

BaiduDrive and Dropbox

Performance:

Method LFW(%) CFP-FP(%) AgeDB-30(%) MegaFace(%)
Ours 99.77 98.27 98.28 98.47

3.2 LResNet50E-IR,ArcFace@ms1m-refine-v1

BaiduDrive and Dropbox

Performance:

Method LFW(%) CFP-FP(%) AgeDB-30(%) MegaFace(%)
Ours 99.80 92.74 97.76 97.64

3.3 LResNet34E-IR,ArcFace@ms1m-refine-v1

BaiduDrive and Dropbox

Performance:

Method LFW(%) CFP-FP(%) AgeDB-30(%) MegaFace(%)
Ours 99.65 92.12 97.70 96.70

3.4 MobileFaceNet,ArcFace@ms1m-refine-v1

BaiduDrive and Dropbox

Performance:

Method LFW(%) CFP-FP(%) AgeDB-30(%) MegaFace(%)
Ours 99.50 88.94 95.91 -----

4. Face Attribute models.

4.1 Gender&Age

ResNet50x2 trained on Asian dataset. BaiduDrive Dropbox

4.2 Expression

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