mirror of
https://github.com/deepinsight/insightface.git
synced 2026-05-18 06:38:19 +00:00
2b59ca8becb9effa4a433a425898672fafe12306
InsightFace
Face Recognition Project
Experiments
Default image size is 112x96 if not specified, all face images are aligned.
In ResNet setting, _v1 means original residual units. _v2 means pre-activation units. _v3 means BCBACB residual units.
_bo means using bottleneck residual units.
- Softmax on LFW
| Network/Dataset | VGG2@112x112 | WebFace | MS1M | - | - |
|---|---|---|---|---|---|
| SE-ResNet50_v3 | 0.9973 | - | - | ||
| SE-ResNet50_v3_bo | |||||
| SE-ResNet50_v1 | |||||
| ResNet50_v3 | - | - | - | ||
| Inception-ResNet | - | - | - | ||
| SE-Inception-ResNet | - | - | - | ||
| MobileNet | - | - | - | ||
| ResNeXt | - | - | - | ||
Description
State-of-the-art 2D and 3D Face Analysis Project
https://insightface.ai/
age-estimationarcfaceface-alignmentface-detectionface-recognitionmxnetoneflowpaddlepaddlepytorchretinaface
Readme
80 MiB
Languages
Python
70%
C++
24.9%
C
2.1%
Shell
1.5%
CMake
0.9%
Other
0.5%