Amazon Echo Look Fashion Camera Tested

By: Rob Kilpatrick, Published on Oct 27, 2017

Can deep learning make you look good?

That is what Amazon's Echo Look, a "Hands Free Camera and Style Assistant", claims to do.

We bought this new camera to see if these claims were all hype or if these analytics actually worked.

The video below shows basic use of the camera, using voice control to take a photo of the subject's outfit:

Inside, with a series of screenshots and video, we share out test results of how the deep learning and the overall unit performed.

******* ************ *** **** ****?

**** ** **********'* **** ****, * "***** **** ****** and ***** *********", ****** to **.

** ****** **** *** camera ** *** ** these ****** **** *** hype ** ** ***** analytics ******** ******.

*** ***** ***** ***** basic *** ** *** camera, ***** ***** ******* to **** * ***** of *** *******'* ******:

******, **** * ****** of *********** *** *****, we ***** *** **** results ** *** *** deep ******** *** *** overall **** *********.

[***************]

Executive ******* - *** **********

****'* **** *********** *** ****** simplistic:

  • **** *** *** *** fashion *****, ***** *** tests **** ** ** a ****** ************ ******** one. ** **** ** what *** ***** ** emulate, ** ** ******. However, ***** *** ******* of ****** *** ******, this ** ****** ** issue.
  • ******* ** ****, **** did *** **** ** adjust *** ***** ***** much ** ********.
  • ****, *** ************ **** gave **** ***** (*.*., 'the shape ** *** ****** works ******', '*** ******* creates * **** ********** look') ** ** ** hard *** *** **** to ***** ** ********** how **** ** ****** decisions.
  • *******, ** *****, *** delay ** ********** *** returning ** ******** *** significant (** ** * minute) ***** ** ****** to ***** ***** ******* immediate ********.

Compared ** ******* ***** *********

*** **** ****'* ********* are ***********, *** *** reflective ** **** ********/******** applications ********* ** ******** today. ******* **** ******** analytics ***** ** * high ********** *** ***** photo ** * ********** subject ** * ****** field ** ****, **** bright ************ *** ******* angle ** *********, ** is **** ****** ** recognize **** ******* **** in ******* ******** *****, normally ***** ** *****, with ****** ********, **** moving ******** ***** ******** ******** cameras.

**** ***** ****, **** learning/neural networks **** ******** ** improve, **** **** ** this *********** ********** ******** in *** ****** ** allow ******** ******** ** alerts.

More **** *** ******

**** **** ****** ** an ********** ****** ** learning **** *** ******'* other**** ******** ********, **** ** ***** recently ************* *** ******** ******. ***** **** **** no ****** **** *** Cloud *** **** ********* specific ******** ** ******** or ******, ***., **** Look ******** ***** ***** serve as ********** ******** *** ****** recognition ** ****** **. pets *** *******, **** ** ***** *********** alerts:

**** ************ **** ***** in *** *** *****, over **** *** **** see **** ******** *********, alerts, *** ***** *** features ****** ********* ** the ******* *** ** the ****** ******, **** as ******** ***** ****** or *** *********, ******* having ** ******** * new ******.

Not *** ********

**** **** *** **** Look ****** ** **** for ******** ********, ** it ****** ** **** streaming, ****** *********, *********, ONVIF ** **** *********, etc. ************, *** **** 9:16 ****** ***** **** narrow *** ** ******** to ** ****** ** most *********** ******, ********* wide, ******* ****** ** view. 

*******

*** ****** **** **** sells *** $*** *** online******** **** ******. **** **** ** the **** ** ******* the **** **** ******** a **** ** ******* for ********** ** ******** the *******.

Physical ********

*** **** **** ** ****** unlike ******* *******, ***** a *********** **** ******, with *** **** *** LED ***** ** *** front ** *** ******. Look ********* ************ ***** *******, ***** enables *** ********** **** analytics (********* *****). **** that *** ****** **** an ***** **** *********, but **** ********** ** likely ********* ******** *** ********.

 

Echo **** ***** ***** *********

*** **** ******* ** Echo **** ** *** Style ***** *******, ***** allows * **** ** select *** ****** ***** by *** ****** *** get ******** ** ***** outfit ********* (***** *****). This ******** ** ******** by **** ******* ******** and ***** ******* ********* to ******, *** **** are *** ***** ***** how **** ******** ** divided ******* ******* ********/******. Feedback ** *** *************, with ********** ******* **** a *** ******* ** about * ****** ** our *****. 

********* ** ***** ******* are ****** ***** *** ratings, ******* ******* ** fit, *****, *****, ***. Feedback ** ********* ****** vague, *.*., "*** ***** of *** ****** ***** better.", *** ******* ******* as ** *** *** fit ** ****** **** the ***** ******.

**** **** ** ***** feel *** **** ** more ***** *****, ********** of ******, **** *** mark ** ** *** a ****** ******* ** each *****. ****** ****** to ****** *************** *** learn *****' ***** **** time, *** ** *** ****** difference ** *************** **** the ****** ** * day's *******.

*******, ****** **** ***** comparisons *** *** ******** of * ******'* ***** to ********* ******* ******** pieces:

******** Clothing ********

*** **** ****'* ********* ******** fine *********** ** ********, including ***, *****, *******, accessories, *** ****:

********** ** ***

*** ****** ******** ***** fit *********** ** * subject's *******, **** ** whether ******* *** *** long, *** *****, *** tight, *** *****, ***. 

****** *********** ** ****

************, *** ****** ******** differences ** *** ******** is ****, **** ** sleeves ***** ****** ** or ****, ** **** as *******, *******, ***.

**** *********

**** **** ******** *********** ** shoes *** ********** ***** choice ** "******":

 

Person ***********

**** **** ************** ******* multiple ******** ** *** tests, ********* ***** *********** if *** ********* ****** were ** *** ******, shown *****. **** *** be ****** **** *** other **** *** *** ****** app.

 

Background ********

**** **** ************* ***** the ********** ** ****** to **** ******** ****** to *** *** ******* ********** details. **** ******** ******** the ******* ** ** less **** ~*' **** the ****** (*****, ****). Standing ******* **** ****, the ********** *** ***** visible ** *** ***** (below, *****).

Comments (11)

**********:  ****** *** **** are ******** ***** *******.

**... *** *** *** best *****, *** ******* what?

*'* ******* ***** ****** Flav ****** *** **** Look ******* - *** why:

*****. **** ** * clock ****.

**** **** *** **** Look ****** ** **** for ******** ********...

***** ******* ** ******** rooms ** ****** **** someone ****** ******* **** ‘fatter’ **** **** *** on *** *** **?

******* ************* - ** as ** ****** ******* shoplifting *******...

** ******* **** **** scratching ***** ***** **** Amazon ****** **'* * great **** ** *** a ******, ********* ** the *****, ** *** bedroom/closet ** ******* ***** getting *******? *'* ***** if ** ****'* ** bizarre. *** *** ****** also ***** *** ** put ***** ******-**-***** ***** clock ** **** ******* table. *******. * ***** there *** * ***** lot ** ****** *** there **** *** **** more *********** *** ******** about *** ********* *** some ** ***** *** products....

***** ****'** ********* *** people *** *** "********" to ***** ****.

* ** ***** ** go ***** ** ***** of **** *****, **** in *** ******* *** the ***** **** *** AC ** ***** * cold ******.

 

*****, **** ** *** think?

 * ** ***** ** go ***** ** ***** of **** *****, **** in *** ******* *** the ***** **** *** AC ** ***** * cold ******.

*****, **** ** *** think?

”****** *** *****, **** the ***** ******...”

 

****** **** ***********.

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