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usnistgov
frvt
C++2023–2023
usnistgov / frvt

frvt

Repository for the Face Recognition Vendor Test (FRVT)

2Distinct people
2Mentions
0Explicit recommenders
291GitHub stars
REPOSITORY AT A GLANCE

What to know before exploring

What it is

Repository for the Face Recognition Vendor Test (FRVT)

GitHub

Where it is used

No documented product use has been verified yet.

What people are saying

No recommendation phrase was found in the indexed comments.

No classified warning is attached to this page. Read the discussions before treating silence as approval.

Also in these discussions

No other repository is repeatedly linked in the same discussions.

This week on Hacker News

Nov 7–Nov 14 UTC · Direct repository links and separately labeled related project stories. Indexed through 11/14/2026, 5:04:57 PM UTC.

No direct repository links were found in the indexed HN discussions over the past seven days. Older discussions are available below.

Mentions over time

HN mentions by week2 dated mentions

Observed mentions: 2023-10-01 16:48:19 UTC to 2023-12-20 14:24:53 UTC. Weeks start Monday, UTC.

012023-09-25 00:00:00 UTC to 2023-10-02 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 commentsSep 252023-10-02 00:00:00 UTC to 2023-10-09 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2023-10-09 00:00:00 UTC to 2023-10-16 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2023-10-16 00:00:00 UTC to 2023-10-23 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2023-10-23 00:00:00 UTC to 2023-10-30 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2023-10-30 00:00:00 UTC to 2023-11-06 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2023-11-06 00:00:00 UTC to 2023-11-13 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 commentsNov 62023-11-13 00:00:00 UTC to 2023-11-20 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2023-11-20 00:00:00 UTC to 2023-11-27 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2023-11-27 00:00:00 UTC to 2023-12-04 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2023-12-04 00:00:00 UTC to 2023-12-11 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2023-12-11 00:00:00 UTC to 2023-12-18 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2023-12-18 00:00:00 UTC to 2023-12-25 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 commentsDec 18

Counts come from the repository’s dated source evidence. Index cutoff: 2026-11-02 08:16:59 UTC.

View mention counts and date ranges
UTC ranges include their start and exclude their end. Select a period to filter the source evidence.
PeriodStart (UTC)End (exclusive, UTC)MentionsSubmissionsComments
Sep 252023-09-25 00:00:00 UTC2023-10-02 00:00:00 UTC101
Oct 22023-10-02 00:00:00 UTC2023-10-09 00:00:00 UTC000
Oct 92023-10-09 00:00:00 UTC2023-10-16 00:00:00 UTC000
Oct 162023-10-16 00:00:00 UTC2023-10-23 00:00:00 UTC000
Oct 232023-10-23 00:00:00 UTC2023-10-30 00:00:00 UTC000
Oct 302023-10-30 00:00:00 UTC2023-11-06 00:00:00 UTC000
Nov 62023-11-06 00:00:00 UTC2023-11-13 00:00:00 UTC000
Nov 132023-11-13 00:00:00 UTC2023-11-20 00:00:00 UTC000
Nov 202023-11-20 00:00:00 UTC2023-11-27 00:00:00 UTC000
Nov 272023-11-27 00:00:00 UTC2023-12-04 00:00:00 UTC000
Dec 42023-12-04 00:00:00 UTC2023-12-11 00:00:00 UTC000
Dec 112023-12-11 00:00:00 UTC2023-12-18 00:00:00 UTC000
Dec 182023-12-18 00:00:00 UTC2023-12-25 00:00:00 UTC101

What Hacker News says

2 sources
This is wrong and not how the numbers are computed. It's not pairwise. Pairwise error rates are more like 1 in 10 billion. NIST did a review in 2019 (published 2020) with datasets containing 12 million people. For searching a given photo against the database, solutions might, say, fail to pull anyone 3% of the time and pull the wrong person 0.5% of the time. Thus, you get about 1 false positive for every ~190 true matches. It was also under pessimistic conditions: a big fraction of the searches were for individual not enrolled in the dataset. https://github.com/usnistgov/frvt/blob/nist-pages/reports/1N... edit: I see there are newer versions of the data since I bookmarked this, but I have not reviewed them. A glance shows they format the data differently. Still, things have likely improved somewhat since then.
In Canadians have a ‘right to be forgotten’ on Google, Federal Court rules

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