Herta Facial Recognition Plus Masks Tested

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Rob Kilpatrick
Aug 13, 2020
IPVM • IPVMU Certified
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MICHAEL PETROV
Aug 19, 2020

** *** ********* ** ***** *,*** ********* ** *** ****?

***, **** ****, *** ****** **** asked ***** *** *** *********** ***** of *** *********, *.*. **** *** you **** ******* ** **** ********* value, ** *** ** ****** ***** have **** ***** ** ***** ******** studies. ***** **** ******** *** **** 200 *******, *** ***** ***** ** reported ***'* **** ****. ******** ********* on *** ********, *** ****** ******** would ****** *** ****** *** ** be ***** ** *** *.**% (*.*. false ******** ** * *** **** cases) *** ****** ******* *** ****** than **** ** **** ** ******** guard ******* ** * ****** ** the ************ *** ****. **** ** you **** * ******** ** *** 10K ******, **** *** ********* ********* should ** ** *** ***** ** 0.01%/10000 = ***-* (****, ******** ****** than ****, *** ****'* * ****** estimate).

(2)
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Ethan Ace
Aug 19, 2020

***** ****** *** *********. *****'* * 15% ******** *********** ****** *** ****, optional. ******** ******** *** *** ******** without *** *********** ******.

********* ***, ** **** ****** ** from ******** *******, ********* *****. *******, we ***'* *** **** ***** ** it ** ***. ******* ***** ********** are ********* ***** *** **** *******, which **** **** ****** ********** ****** than ********* ******** ** ************ *******. For *******, *** **** ****-** ******* is ****** ******* ******, ** *** pixel *** **** ****** *** *** uncommon, *** ******** *** ****** ** look ** *** ******, ***** ** much ****** ** ******* ** *** wild.

******* * ******* ***** **** **** dataset:

IPVM Image

** * *******, ****** **** ******* surveillance *****:

IPVM Image

*** ******* ** ***** ********** (**-** pixels ****** *** **** ******* ** 200) *** ****** *** *******.

******* **** ******** *'** **** ***'* reflect ***** *********, ***** ******* ********* using **** *** * ***** **** more **** * ****** ****** ****.

(1)
(2)
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MICHAEL PETROV
Aug 19, 2020

****** *** *** ****** *****! ** you *** **** **** ******* *** will *** **** *** *** ** obviously * ******** ** *** ******** (i.e. *** ****** **** *** *** on *** **** **** **** *** false *******, *** *** ****** **** the *** ** *** ****** **** have **** ***** *******). *******, ** you *** *** ********* ** *** 20 **** (*** * **** ********* at *****:)) *** ***** ****** **** will ** *** **** ********** ** image *******. **** ****** *** **** in **** ** ***** ******* (*** stability ** *** ********* **. *** is *********** ** *** **** ****** as ***** **** ***** ********** *** curves *** ********* *********, ***** ******* should ** ******** - **** *** perfect, *** **** **** ** ***** stay ****** *** **** ***** ** magnitude **** **** ******* **** ***).

(1)
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