Machine Generated Data
Tags
Clarifai
created on 2019-11-10
Imagga
created on 2019-11-10
mug shot | 58.4 | |
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representation | 45.7 | |
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photograph | 45.3 | |
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portrait | 43.4 | |
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sexy | 41 | |
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adult | 40.8 | |
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attractive | 39.9 | |
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hair | 39.7 | |
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model | 38.9 | |
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face | 36.3 | |
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pretty | 35 | |
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skin | 34.5 | |
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fashion | 33.2 | |
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person | 27.5 | |
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creation | 25.9 | |
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sensual | 25.5 | |
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eyes | 24.1 | |
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lady | 23.6 | |
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lips | 23.2 | |
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black | 23 | |
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people | 21.2 | |
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brunette | 20.9 | |
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cute | 20.8 | |
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body | 20 | |
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human | 19.5 | |
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makeup | 19.5 | |
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make | 18.2 | |
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sensuality | 17.3 | |
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youth | 17.1 | |
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erotic | 16.3 | |
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style | 16.3 | |
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sketch | 16.1 | |
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studio | 15.2 | |
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head | 15.1 | |
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posing | 15.1 | |
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happy | 15.1 | |
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cosmetics | 15 | |
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close | 14.9 | |
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expression | 14.5 | |
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healthy | 14.5 | |
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smile | 14.3 | |
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women | 14.3 | |
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glamor | 13.4 | |
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lovely | 13.3 | |
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lifestyle | 13 | |
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elegance | 12.6 | |
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drawing | 12.5 | |
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look | 12.3 | |
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feminine | 12.2 | |
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elegant | 12 | |
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natural | 11.4 | |
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love | 11.1 | |
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relaxation | 10.9 | |
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clean | 10.9 | |
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hairstyle | 10.5 | |
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blond | 10.3 | |
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long | 10.1 | |
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shower curtain | 10 | |
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gorgeous | 10 | |
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spa | 9.9 | |
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eye | 9.8 | |
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one | 9.7 | |
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glamorous | 9.7 | |
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skincare | 9.5 | |
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mouth | 9.4 | |
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joy | 9.2 | |
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care | 9.1 | |
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dress | 9 | |
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closeup | 8.8 | |
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naked | 8.7 | |
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smiling | 8.7 | |
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sexual | 8.7 | |
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happiness | 8.6 | |
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dark | 8.4 | |
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health | 8.3 | |
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nice | 8.3 | |
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looking | 8 | |
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curtain | 8 | |
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facial | 7.8 | |
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nude | 7.8 | |
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bathroom | 7.7 | |
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casual | 7.6 | |
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bath | 7.6 | |
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20s | 7.3 | |
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bathtub | 7.1 | |
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life | 7.1 | |
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modern | 7 | |
|
Google
created on 2019-11-10
Photograph | 95.9 | |
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Lady | 87.2 | |
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Hairstyle | 83.6 | |
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Portrait | 82.3 | |
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Vintage clothing | 78.7 | |
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Retro style | 77 | |
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Long hair | 66.4 | |
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Drawing | 62 | |
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Black-and-white | 56.4 | |
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Self-portrait | 55.4 | |
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Paper product | 53.3 | |
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Illustration | 50.4 | |
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Art | 50.2 | |
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Sketch | 50.1 | |
|
Color Analysis
Face analysis
Amazon
![](https://ids.lib.harvard.edu/ids/iiif/20491267/227,268,140,207/full/0/native.jpg)
AWS Rekognition
Age | 8-18 |
Gender | Female, 95.4% |
Fear | 6.6% |
Disgusted | 4.3% |
Happy | 1% |
Calm | 68.5% |
Angry | 4% |
Surprised | 7.1% |
Sad | 6.7% |
Confused | 2% |
![](https://ids.lib.harvard.edu/ids/iiif/20491267/161,208,262,305/full/0/native.jpg)
Google Vision
Surprise | Very unlikely |
Anger | Very unlikely |
Sorrow | Very unlikely |
Joy | Very unlikely |
Headwear | Very unlikely |
Blurred | Very unlikely |
Feature analysis
Amazon
![](https://ids.lib.harvard.edu/ids/iiif/20491267/173,234,501,563/full/0/native.jpg)
Person | 98.8% | |
|
Categories
Imagga
pets animals | 98.6% | |
|
Captions
Microsoft
created on 2019-11-10
a close up of a person | 71.7% | |
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a person taking a selfie | 48.3% | |
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close up of a person | 48.2% | |
|
Text analysis
Amazon
![](https://ids.lib.harvard.edu/ids/iiif/20491267/325,827,74,48/full/0/native.jpg)
ng
![](https://ids.lib.harvard.edu/ids/iiif/20491267/398,906,36,16/full/0/native.jpg)
N:29
![](https://ids.lib.harvard.edu/ids/iiif/20491267/405,829,123,46/full/0/native.jpg)
Raphuil
![](https://ids.lib.harvard.edu/ids/iiif/20491267/367,849,32,26/full/0/native.jpg)
nge
![](https://ids.lib.harvard.edu/ids/iiif/20491267/278,820,253,52/full/0/native.jpg)
L ng nge Raphuil
![](https://ids.lib.harvard.edu/ids/iiif/20491267/413,883,13,8/full/0/native.jpg)
nve
![](https://ids.lib.harvard.edu/ids/iiif/20491267/549,880,14,12/full/0/native.jpg)
A
![](https://ids.lib.harvard.edu/ids/iiif/20491267/518,879,34,11/full/0/native.jpg)
Jiitan
![](https://ids.lib.harvard.edu/ids/iiif/20491267/265,880,52,12/full/0/native.jpg)
nchee
![](https://ids.lib.harvard.edu/ids/iiif/20491267/460,882,26,9/full/0/native.jpg)
nli
![](https://ids.lib.harvard.edu/ids/iiif/20491267/278,827,52,36/full/0/native.jpg)
L
![](https://ids.lib.harvard.edu/ids/iiif/20491267/265,879,298,13/full/0/native.jpg)
nchee Iivle O dtear nve dodonr nli ue ie Jiitan A
![](https://ids.lib.harvard.edu/ids/iiif/20491267/507,880,12,10/full/0/native.jpg)
ie
![](https://ids.lib.harvard.edu/ids/iiif/20491267/428,881,31,10/full/0/native.jpg)
dodonr
![](https://ids.lib.harvard.edu/ids/iiif/20491267/378,880,34,11/full/0/native.jpg)
dtear
![](https://ids.lib.harvard.edu/ids/iiif/20491267/338,880,29,11/full/0/native.jpg)
Iivle
![](https://ids.lib.harvard.edu/ids/iiif/20491267/486,880,19,10/full/0/native.jpg)
ue
![](https://ids.lib.harvard.edu/ids/iiif/20491267/379,941,75,16/full/0/native.jpg)
BATOD
![](https://ids.lib.harvard.edu/ids/iiif/20491267/366,880,13,10/full/0/native.jpg)
O
![](https://ids.lib.harvard.edu/ids/iiif/20491267/167,828,395,98/full/0/native.jpg)
Linge Raphad
taphil pins
d
nee d de ports Ede de Mid
hes
N
N 29.
![](https://ids.lib.harvard.edu/ids/iiif/20491267/296,828,117,55/full/0/native.jpg)
Linge
![](https://ids.lib.harvard.edu/ids/iiif/20491267/409,831,105,54/full/0/native.jpg)
Raphad
![](https://ids.lib.harvard.edu/ids/iiif/20491267/167,833,36,14/full/0/native.jpg)
taphil
![](https://ids.lib.harvard.edu/ids/iiif/20491267/200,833,20,14/full/0/native.jpg)
pins
![](https://ids.lib.harvard.edu/ids/iiif/20491267/345,882,17,16/full/0/native.jpg)
d
![](https://ids.lib.harvard.edu/ids/iiif/20491267/416,887,15,7/full/0/native.jpg)
nee
![](https://ids.lib.harvard.edu/ids/iiif/20491267/441,882,23,16/full/0/native.jpg)
de
![](https://ids.lib.harvard.edu/ids/iiif/20491267/463,884,25,12/full/0/native.jpg)
ports
![](https://ids.lib.harvard.edu/ids/iiif/20491267/489,884,21,11/full/0/native.jpg)
Ede
![](https://ids.lib.harvard.edu/ids/iiif/20491267/518,882,22,16/full/0/native.jpg)
Mid
![](https://ids.lib.harvard.edu/ids/iiif/20491267/302,884,19,11/full/0/native.jpg)
hes
![](https://ids.lib.harvard.edu/ids/iiif/20491267/552,884,10,13/full/0/native.jpg)
N
![](https://ids.lib.harvard.edu/ids/iiif/20491267/420,914,18,12/full/0/native.jpg)
29.