Machine Generated Data
Tags
Amazon
created on 2022-06-04
Imagga
created on 2022-06-04
trench coat | 72.2 | |
| ||
raincoat | 57.7 | |
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coat | 56.5 | |
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clothing | 38.9 | |
| ||
suit | 38.9 | |
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garment | 36.9 | |
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man | 35.6 | |
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male | 26.9 | |
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business | 24.3 | |
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businessman | 22.9 | |
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military uniform | 20.7 | |
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uniform | 20.7 | |
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professional | 20.3 | |
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adult | 19.4 | |
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person | 17 | |
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handsome | 16.9 | |
| ||
smile | 16.4 | |
| ||
statue | 15.5 | |
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people | 15 | |
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work | 14.9 | |
| ||
portrait | 14.2 | |
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men | 13.7 | |
| ||
tie | 13.3 | |
| ||
jacket | 13.1 | |
| ||
corporate | 12.9 | |
| ||
fashion | 12.8 | |
| ||
black | 12.6 | |
| ||
happy | 12.5 | |
| ||
job | 12.4 | |
| ||
office | 12.2 | |
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architecture | 11.7 | |
| ||
worker | 11.7 | |
| ||
standing | 11.3 | |
| ||
success | 11.3 | |
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executive | 10.6 | |
| ||
attractive | 10.5 | |
| ||
looking | 10.4 | |
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religion | 9.8 | |
| ||
ruler | 9.8 | |
| ||
old | 9.7 | |
| ||
one | 9.7 | |
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building | 9.5 | |
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face | 9.2 | |
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confident | 9.1 | |
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holding | 9.1 | |
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working | 8.8 | |
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urban | 8.7 | |
| ||
profession | 8.6 | |
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sculpture | 8.6 | |
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casual | 8.5 | |
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clothes | 8.4 | |
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manager | 8.4 | |
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guy | 8.3 | |
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successful | 8.2 | |
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style | 8.2 | |
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briefcase | 8 | |
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medical | 7.9 | |
| ||
model | 7.8 | |
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corporation | 7.7 | |
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elegant | 7.7 | |
| ||
formal | 7.6 | |
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career | 7.6 | |
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religious | 7.5 | |
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city | 7.5 | |
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monument | 7.5 | |
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famous | 7.4 | |
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smiling | 7.2 | |
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history | 7.2 | |
|
Google
created on 2022-06-04
White | 92.2 | |
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Overcoat | 91.6 | |
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Frock coat | 88.5 | |
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Sleeve | 87.2 | |
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Coat | 86.5 | |
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Standing | 86.4 | |
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Collar | 83.8 | |
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Trench coat | 79.1 | |
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Hat | 78.3 | |
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Blazer | 78.2 | |
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Eyewear | 76.9 | |
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Formal wear | 72.2 | |
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Uniform | 72 | |
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Duster | 70.3 | |
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Fashion design | 70.3 | |
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Vintage clothing | 67.6 | |
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Room | 67.2 | |
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Monochrome | 66 | |
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Monochrome photography | 66 | |
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White-collar worker | 64.6 | |
|
Color Analysis
Face analysis
Amazon
![](https://ids.lib.harvard.edu/ids/iiif/20488934/423,181,72,93/full/0/native.jpg)
AWS Rekognition
Age | 30-40 |
Gender | Male, 98.6% |
Calm | 95.8% |
Surprised | 7.4% |
Fear | 5.9% |
Sad | 2.3% |
Confused | 0.6% |
Angry | 0.5% |
Disgusted | 0.2% |
Happy | 0.1% |
Feature analysis
Categories
Imagga
interior objects | 99.2% | |
|
Captions
Microsoft
created on 2022-06-04
a man standing next to a sink | 81.7% | |
| ||
a man standing in front of a sink | 81.3% | |
| ||
a man standing in a room | 81.2% | |
|
Text analysis
Amazon
![](https://ids.lib.harvard.edu/ids/iiif/20488934/432,150,35,20/full/0/native.jpg)
6295
![](https://ids.lib.harvard.edu/ids/iiif/20488934/645,252,18,10/full/0/native.jpg)
-
![](https://ids.lib.harvard.edu/ids/iiif/20488934/718,987,66,20/full/0/native.jpg)
3822A
![](https://ids.lib.harvard.edu/ids/iiif/20488934/688,271,11,4/full/0/native.jpg)
I
![](https://ids.lib.harvard.edu/ids/iiif/20488934/64,983,216,41/full/0/native.jpg)
E.R.Warren,Motorman
![](https://ids.lib.harvard.edu/ids/iiif/20488934/615,251,83,12/full/0/native.jpg)
UNIVERSAL - 5 cerom
![](https://ids.lib.harvard.edu/ids/iiif/20488934/480,981,88,36/full/0/native.jpg)
Jan.21.07
![](https://ids.lib.harvard.edu/ids/iiif/20488934/666,254,4,6/full/0/native.jpg)
5
![](https://ids.lib.harvard.edu/ids/iiif/20488934/674,253,24,8/full/0/native.jpg)
cerom
![](https://ids.lib.harvard.edu/ids/iiif/20488934/677,232,22,13/full/0/native.jpg)
Consum
![](https://ids.lib.harvard.edu/ids/iiif/20488934/615,252,30,9/full/0/native.jpg)
UNIVERSAL
![](https://ids.lib.harvard.edu/ids/iiif/20488934/435,163,29,17/full/0/native.jpg)
11
![](https://ids.lib.harvard.edu/ids/iiif/20488934/659,277,8,4/full/0/native.jpg)
PM
![](https://ids.lib.harvard.edu/ids/iiif/20488934/72,152,715,866/full/0/native.jpg)
E.R.Warren Motorman
6295
A5
Jan, 21.07
Becom Erand Baby Con
SPOTLIT NEIST
38224
![](https://ids.lib.harvard.edu/ids/iiif/20488934/72,994,111,24/full/0/native.jpg)
E.R.Warren
![](https://ids.lib.harvard.edu/ids/iiif/20488934/185,993,94,24/full/0/native.jpg)
Motorman
![](https://ids.lib.harvard.edu/ids/iiif/20488934/433,152,39,23/full/0/native.jpg)
6295
![](https://ids.lib.harvard.edu/ids/iiif/20488934/416,169,39,22/full/0/native.jpg)
A5
![](https://ids.lib.harvard.edu/ids/iiif/20488934/484,992,34,21/full/0/native.jpg)
Jan
![](https://ids.lib.harvard.edu/ids/iiif/20488934/511,992,15,19/full/0/native.jpg)
,
![](https://ids.lib.harvard.edu/ids/iiif/20488934/518,989,50,22/full/0/native.jpg)
21.07
![](https://ids.lib.harvard.edu/ids/iiif/20488934/612,232,24,17/full/0/native.jpg)
Becom
![](https://ids.lib.harvard.edu/ids/iiif/20488934/632,232,28,18/full/0/native.jpg)
Erand
![](https://ids.lib.harvard.edu/ids/iiif/20488934/657,233,26,17/full/0/native.jpg)
Baby
![](https://ids.lib.harvard.edu/ids/iiif/20488934/679,234,27,17/full/0/native.jpg)
Con
![](https://ids.lib.harvard.edu/ids/iiif/20488934/616,255,32,10/full/0/native.jpg)
SPOTLIT
![](https://ids.lib.harvard.edu/ids/iiif/20488934/647,255,29,10/full/0/native.jpg)
NEIST
![](https://ids.lib.harvard.edu/ids/iiif/20488934/721,991,66,18/full/0/native.jpg)
38224