Skip to main content

This model has been trained on VGGv2 and tested on LFW with 92% accuracy. The pretrained model can be accessed on res_facenet.model_921 or res_facenet.model_920

Project description

ResFacenet

This package is intended as an pytorch hub entry point for my trained facenet model on this repo khrlimam/facenet. This pretrained model can be used for anyone who want to use it for transfer learning or any other applications.

This model trained on VGGv2 dataset and tested on LFW dataset and gained 92% accuracy.

This work is distributed under MIT license, so I hope you consider the license's policy. Cheers!

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Files for res-facenet, version 0.0.5
Filename, size File type Python version Upload date Hashes
Filename, size res_facenet-0.0.5-py3-none-any.whl (3.7 kB) File type Wheel Python version py3 Upload date Hashes View
Filename, size res-facenet-0.0.5.tar.gz (2.4 kB) File type Source Python version None Upload date Hashes View

Supported by

Pingdom Pingdom Monitoring Google Google Object Storage and Download Analytics Sentry Sentry Error logging AWS AWS Cloud computing DataDog DataDog Monitoring Fastly Fastly CDN DigiCert DigiCert EV certificate StatusPage StatusPage Status page