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Quick answer

Facial Rec with Movidius, Siamese Nets & Triplet Loss is an open source machine vision project from Hackster.io, indexed by ZouIC. Siamese Neural Networks trained using Triplet Loss to classify known and unknown faces.

Source
Hackster.io
Focus
machine vision
Author
Adam Milton-Barker
Published
2018-08-19

Common questions

What does Facial Rec with Movidius, Siamese Nets & Triplet Loss do?

Siamese Neural Networks trained using Triplet Loss to classify known and unknown faces.

Where does Facial Rec with Movidius, Siamese Nets & Triplet Loss come from?

ZouIC indexes it from Hackster.io, original page at https://www.hackster.io/AdamMiltonBarker/facial-rec-with-movidius-siamese-nets-triplet-loss-d9cb4f.

What stack does Facial Rec with Movidius, Siamese Nets & Triplet Loss use?

tags Intel, tutorial, intermediate.

When was Facial Rec with Movidius, Siamese Nets & Triplet Loss published?

The source page lists 2018-08-19.

Facial Rec with Movidius, Siamese Nets & Triplet Loss
Hackster.io All from this source License per the original page vision

Indexed by ZouIC from the source platform public page, for developer reference only. Copyright and licensing stay with the author; get code and files from the original platform.

Facial Rec with Movidius, Siamese Nets & Triplet Loss

Published 2018-08-19

Siamese Neural Networks trained using Triplet Loss to classify known and unknown faces.

Technical Specifications

Source platform
Hackster.io
Listing note
Metadata fetched from the public platform page; copyright belongs to the original author.
Difficulty
intermediate
content type
tutorial

Related resources and purchase links

Statistics

respects
29
views
3103

Project Info

Source PlatformHackster.io
Categoryvision
LicenseLicense per the original page
Views3103
Likes29
Discussions0

Author Info

Adam Milton-Barker
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Citation Note

This content is sourced from Hackster.io Platform,All rights reserved by the original author. This platform only provides indexing and summaries. For detailed content, please visit the original link.

License per the original page
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