PyTorch implementation of MobileFaceNets
Jupyter Notebook
149
25 commits
updated Dec 17, 2025
PyTorch implementation of MobileFaceNets: Efficient CNNs for Accurate Real-Time Face Verification on Mobile Devices. paper.
| Accuracy | LFW | MegaFace | Download |
|---|---|---|---|
| paper | 99.55% | 92.59% | |
| ours | 99.48% | 82.55% | Link |
Refined MS-Celeb-1M dataset for training, 3,804,846 faces over 85,164 identities. LFW and Megaface datasets for testing.
Extract images:
$ python extract.py
$ python pre_process.py
$ python train.py
To visualize the training process:
$ tensorboard --logdir=runs
3,842 followers · starred May 2026
PyTorch implementation of MobileFaceNets
Jupyter Notebook
149
25 commits
updated Dec 17, 2025
PyTorch implementation of MobileFaceNets: Efficient CNNs for Accurate Real-Time Face Verification on Mobile Devices. paper.
| Accuracy | LFW | MegaFace | Download |
|---|---|---|---|
| paper | 99.55% | 92.59% | |
| ours | 99.48% | 82.55% | Link |
Refined MS-Celeb-1M dataset for training, 3,804,846 faces over 85,164 identities. LFW and Megaface datasets for testing.
Extract images:
$ python extract.py
$ python pre_process.py
$ python train.py
To visualize the training process:
$ tensorboard --logdir=runs
3,842 followers · starred May 2026