https://github.com/swghosh/facenet
Keras implementation of the renowned publication "FaceNet: A Unified Embedding for Face Recognition and Clustering" by Schroff et al.
https://github.com/swghosh/facenet
face-recognition face-verification facenet google googlenet keras-tensorflow large-scale-machine-learning triplet-loss
Last synced: 6 months ago
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Keras implementation of the renowned publication "FaceNet: A Unified Embedding for Face Recognition and Clustering" by Schroff et al.
- Host: GitHub
- URL: https://github.com/swghosh/facenet
- Owner: swghosh
- Created: 2020-01-01T11:00:45.000Z (almost 6 years ago)
- Default Branch: master
- Last Pushed: 2022-11-21T23:28:49.000Z (almost 3 years ago)
- Last Synced: 2023-02-27T23:04:01.045Z (over 2 years ago)
- Topics: face-recognition, face-verification, facenet, google, googlenet, keras-tensorflow, large-scale-machine-learning, triplet-loss
- Language: Python
- Homepage: https://www.cv-foundation.org/openaccess/content_cvpr_2015/papers/Schroff_FaceNet_A_Unified_2015_CVPR_paper.pdf
- Size: 25.4 KB
- Stars: 5
- Watchers: 3
- Forks: 2
- Open Issues: 3
-
Metadata Files:
- Readme: README.md
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README
# FaceNet
Open source implementation of the renowned publication titled ["FaceNet: A Unified Embedding for Face Recognition and Clustering"](https://www.cv-foundation.org/openaccess/content_cvpr_2015/papers/Schroff_FaceNet_A_Unified_2015_CVPR_paper.pdf) by Yaniv Taigman, Ming Yang, Marc'Aurelio Ranzato, Lior Wolf published at [Conference on Computer Vision and Pattern Recognition (CVPR)](http://openaccess.thecvf.com/menu.py) 2015.

Implementation of this paper have been done using Keras ([tf.keras](https://www.tensorflow.org/guide/keras)).