Machine Generated Data
Tags
Amazon
created on 2023-10-24
Art | 99.9 | |
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Painting | 99.9 | |
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Photography | 99.8 | |
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Adult | 99.1 | |
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Bride | 99.1 | |
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Female | 99.1 | |
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Person | 99.1 | |
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Wedding | 99.1 | |
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Woman | 99.1 | |
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Person | 99.1 | |
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Clothing | 83.2 | |
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Hat | 83.2 | |
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Face | 71 | |
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Head | 71 | |
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Text | 67.3 | |
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Drawing | 57.8 | |
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Animal | 57.7 | |
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Pet | 57.7 | |
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Page | 57.2 | |
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Portrait | 56.6 | |
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Canine | 56.5 | |
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Mammal | 56.5 | |
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Book | 56.5 | |
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Publication | 56.5 | |
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Advertisement | 56.5 | |
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Boston Bull | 56.1 | |
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Bulldog | 56.1 | |
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Dog | 56.1 | |
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Coat | 55.8 | |
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Duel | 55.5 | |
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Stilts | 55.2 | |
|
Clarifai
created on 2019-02-19
Imagga
created on 2019-02-19
Google
created on 2019-02-19
Photograph | 95.5 | |
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Text | 89 | |
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Snapshot | 82.5 | |
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Gentleman | 76.6 | |
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Vintage clothing | 74.4 | |
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Headgear | 67.5 | |
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Picture frame | 65.1 | |
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Paper product | 64.3 | |
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Illustration | 64 | |
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Paper | 61.1 | |
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Art | 58.1 | |
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Drawing | 51.1 | |
|
Color Analysis
Face analysis
Amazon
![](https://ids.lib.harvard.edu/ids/iiif/20491774/300,301,29,34/full/0/native.jpg)
AWS Rekognition
Age | 21-29 |
Gender | Male, 97.1% |
Calm | 94.9% |
Surprised | 6.7% |
Fear | 6% |
Sad | 2.3% |
Angry | 1.5% |
Confused | 1% |
Happy | 0.6% |
Disgusted | 0.6% |
Feature analysis
Categories
Imagga
paintings art | 97.6% | |
| ||
streetview architecture | 1.1% | |
|
Captions
Microsoft
created on 2019-02-19
a person wearing a costume | 38.3% | |
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a person wearing a costume | 29.3% | |
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a person wearing a costume | 29.2% | |
|
Text analysis
Amazon
![](https://ids.lib.harvard.edu/ids/iiif/20491774/371,103,15,12/full/0/native.jpg)
DE
![](https://ids.lib.harvard.edu/ids/iiif/20491774/237,825,46,17/full/0/native.jpg)
Madame
![](https://ids.lib.harvard.edu/ids/iiif/20491774/358,849,26,9/full/0/native.jpg)
mais
![](https://ids.lib.harvard.edu/ids/iiif/20491774/456,844,24,12/full/0/native.jpg)
trois
![](https://ids.lib.harvard.edu/ids/iiif/20491774/266,102,93,15/full/0/native.jpg)
IMPRESSIONS
![](https://ids.lib.harvard.edu/ids/iiif/20491774/393,848,11,12/full/0/native.jpg)
ça
![](https://ids.lib.harvard.edu/ids/iiif/20491774/266,100,181,18/full/0/native.jpg)
IMPRESSIONS DE MENAGE
![](https://ids.lib.harvard.edu/ids/iiif/20491774/410,847,16,9/full/0/native.jpg)
me
![](https://ids.lib.harvard.edu/ids/iiif/20491774/394,101,54,13/full/0/native.jpg)
MENAGE
![](https://ids.lib.harvard.edu/ids/iiif/20491774/238,845,22,14/full/0/native.jpg)
Très
![](https://ids.lib.harvard.edu/ids/iiif/20491774/293,824,60,17/full/0/native.jpg)
Beauminet
![](https://ids.lib.harvard.edu/ids/iiif/20491774/432,842,17,14/full/0/native.jpg)
fait
![](https://ids.lib.harvard.edu/ids/iiif/20491774/299,850,32,9/full/0/native.jpg)
merci
![](https://ids.lib.harvard.edu/ids/iiif/20491774/238,845,93,17/full/0/native.jpg)
Très bien, merci
![](https://ids.lib.harvard.edu/ids/iiif/20491774/358,837,161,25/full/0/native.jpg)
mais ça me fait trois filles!
![](https://ids.lib.harvard.edu/ids/iiif/20491774/267,845,26,17/full/0/native.jpg)
bien,
![](https://ids.lib.harvard.edu/ids/iiif/20491774/355,756,8,6/full/0/native.jpg)
Te
![](https://ids.lib.harvard.edu/ids/iiif/20491774/236,822,184,20/full/0/native.jpg)
Madame Beauminet va bien?
![](https://ids.lib.harvard.edu/ids/iiif/20491774/180,743,12,7/full/0/native.jpg)
3°
![](https://ids.lib.harvard.edu/ids/iiif/20491774/589,783,7,7/full/0/native.jpg)
&
![](https://ids.lib.harvard.edu/ids/iiif/20491774/379,822,41,18/full/0/native.jpg)
bien?
![](https://ids.lib.harvard.edu/ids/iiif/20491774/600,783,9,6/full/0/native.jpg)
ON
![](https://ids.lib.harvard.edu/ids/iiif/20491774/485,840,33,15/full/0/native.jpg)
filles!
![](https://ids.lib.harvard.edu/ids/iiif/20491774/541,793,34,19/full/0/native.jpg)
7/9.
![](https://ids.lib.harvard.edu/ids/iiif/20491774/361,831,12,7/full/0/native.jpg)
va
![](https://ids.lib.harvard.edu/ids/iiif/20491774/541,793,64,19/full/0/native.jpg)
7/9. УЗ
![](https://ids.lib.harvard.edu/ids/iiif/20491774/583,794,22,14/full/0/native.jpg)
УЗ
![](https://ids.lib.harvard.edu/ids/iiif/20491774/355,756,29,6/full/0/native.jpg)
Te Learn
![](https://ids.lib.harvard.edu/ids/iiif/20491774/548,783,61,9/full/0/native.jpg)
I Clabert & ON
![](https://ids.lib.harvard.edu/ids/iiif/20491774/179,739,29,11/full/0/native.jpg)
3° K4
![](https://ids.lib.harvard.edu/ids/iiif/20491774/178,791,9,9/full/0/native.jpg)
la
![](https://ids.lib.harvard.edu/ids/iiif/20491774/163,791,16,7/full/0/native.jpg)
15-1
![](https://ids.lib.harvard.edu/ids/iiif/20491774/548,783,12,9/full/0/native.jpg)
I
![](https://ids.lib.harvard.edu/ids/iiif/20491774/126,790,96,10/full/0/native.jpg)
Ches Territo 15-1 la .
![](https://ids.lib.harvard.edu/ids/iiif/20491774/217,792,5,5/full/0/native.jpg)
.
![](https://ids.lib.harvard.edu/ids/iiif/20491774/563,783,23,7/full/0/native.jpg)
Clabert
![](https://ids.lib.harvard.edu/ids/iiif/20491774/367,756,17,5/full/0/native.jpg)
Learn
![](https://ids.lib.harvard.edu/ids/iiif/20491774/198,741,9,7/full/0/native.jpg)
K4
![](https://ids.lib.harvard.edu/ids/iiif/20491774/140,792,19,7/full/0/native.jpg)
Territo
![](https://ids.lib.harvard.edu/ids/iiif/20491774/126,792,12,7/full/0/native.jpg)
Ches
![](https://ids.lib.harvard.edu/ids/iiif/20491774/239,102,277,767/full/0/native.jpg)
IMPRESSIONS DE MENAGE
Madame Beauminet va bien ?
Ires bien, merci mas ça me fait trois filles
![](https://ids.lib.harvard.edu/ids/iiif/20491774/267,104,96,17/full/0/native.jpg)
IMPRESSIONS
![](https://ids.lib.harvard.edu/ids/iiif/20491774/372,103,18,16/full/0/native.jpg)
DE
![](https://ids.lib.harvard.edu/ids/iiif/20491774/239,827,45,21/full/0/native.jpg)
Madame
![](https://ids.lib.harvard.edu/ids/iiif/20491774/289,826,66,21/full/0/native.jpg)
Beauminet
![](https://ids.lib.harvard.edu/ids/iiif/20491774/379,824,29,21/full/0/native.jpg)
bien
![](https://ids.lib.harvard.edu/ids/iiif/20491774/410,824,9,20/full/0/native.jpg)
?
![](https://ids.lib.harvard.edu/ids/iiif/20491774/240,847,22,22/full/0/native.jpg)
Ires
![](https://ids.lib.harvard.edu/ids/iiif/20491774/297,845,39,23/full/0/native.jpg)
merci
![](https://ids.lib.harvard.edu/ids/iiif/20491774/342,843,45,23/full/0/native.jpg)
mas
![](https://ids.lib.harvard.edu/ids/iiif/20491774/393,843,14,22/full/0/native.jpg)
ça
![](https://ids.lib.harvard.edu/ids/iiif/20491774/409,843,20,22/full/0/native.jpg)
me
![](https://ids.lib.harvard.edu/ids/iiif/20491774/432,842,20,22/full/0/native.jpg)
fait
![](https://ids.lib.harvard.edu/ids/iiif/20491774/454,841,30,23/full/0/native.jpg)
trois
![](https://ids.lib.harvard.edu/ids/iiif/20491774/486,840,30,23/full/0/native.jpg)
filles
![](https://ids.lib.harvard.edu/ids/iiif/20491774/395,102,57,17/full/0/native.jpg)
MENAGE
![](https://ids.lib.harvard.edu/ids/iiif/20491774/359,825,18,20/full/0/native.jpg)
va
![](https://ids.lib.harvard.edu/ids/iiif/20491774/268,845,30,23/full/0/native.jpg)
bien,