Machine Generated Data
Tags
Clarifai
created on 2023-10-28
Imagga
created on 2022-03-05
person | 31.4 | |
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groom | 31.1 | |
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adult | 26.1 | |
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people | 25.7 | |
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portrait | 24.6 | |
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happy | 23.8 | |
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love | 22.9 | |
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man | 22.8 | |
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attractive | 22.4 | |
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smiling | 20.3 | |
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couple | 20 | |
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hair | 19.8 | |
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canvas tent | 19.7 | |
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happiness | 19.6 | |
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pretty | 18.9 | |
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lifestyle | 18.8 | |
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brunette | 17.4 | |
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male | 17.2 | |
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smile | 17.1 | |
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lady | 16.2 | |
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fashion | 15.8 | |
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model | 14.8 | |
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dress | 14.5 | |
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fun | 14.2 | |
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child | 14.2 | |
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indoors | 14.1 | |
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sexy | 13.7 | |
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youth | 13.6 | |
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sitting | 12.9 | |
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oriental | 12.8 | |
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looking | 12.8 | |
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face | 12.8 | |
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women | 12.7 | |
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mother | 11.6 | |
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family | 11.6 | |
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boy | 11.3 | |
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handsome | 10.7 | |
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romantic | 10.7 | |
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bride | 10.5 | |
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together | 10.5 | |
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human | 10.5 | |
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home | 10.4 | |
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relationship | 10.3 | |
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casual | 10.2 | |
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wedding | 10.1 | |
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joy | 10 | |
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cheerful | 9.8 | |
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couch | 9.7 | |
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luxury | 9.4 | |
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cute | 9.3 | |
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gorgeous | 9.1 | |
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romance | 8.9 | |
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kid | 8.9 | |
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director | 8.7 | |
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umbrella | 8.5 | |
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business | 8.5 | |
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togetherness | 8.5 | |
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one | 8.2 | |
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black | 8 | |
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life | 7.8 | |
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play | 7.8 | |
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eyes | 7.7 | |
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two | 7.6 | |
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studio | 7.6 | |
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hand | 7.6 | |
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elegance | 7.6 | |
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leisure | 7.5 | |
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outdoors | 7.5 | |
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holding | 7.4 | |
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style | 7.4 | |
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room | 7.4 | |
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20s | 7.3 | |
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teenager | 7.3 | |
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girls | 7.3 | |
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posing | 7.1 | |
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Google
created on 2022-03-05
Eyelash | 90.6 | |
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Purple | 89.5 | |
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Textile | 87.1 | |
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Pink | 85.3 | |
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Gesture | 85.3 | |
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Happy | 84.7 | |
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Magenta | 82 | |
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Tints and shades | 77.3 | |
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Makeover | 77.2 | |
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Beauty | 74.9 | |
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Snapshot | 74.3 | |
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Event | 73.7 | |
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Fun | 73.2 | |
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Cosmetics | 72.8 | |
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Peach | 70.4 | |
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Jewellery | 70 | |
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Room | 68.9 | |
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Vintage clothing | 67.7 | |
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Stock photography | 62.8 | |
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Fashion accessory | 62 | |
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Microsoft
created on 2022-03-05
person | 99.3 | |
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human face | 96.7 | |
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clothing | 81.8 | |
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wedding dress | 79.1 | |
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woman | 78 | |
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bride | 74.3 | |
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text | 63.7 | |
|
Color Analysis
Face analysis
Amazon
Microsoft
![](https://ids.lib.harvard.edu/ids/iiif/20415001/430,249,173,238/full/0/native.jpg)
AWS Rekognition
Age | 24-34 |
Gender | Female, 99.6% |
Calm | 99.6% |
Confused | 0.1% |
Sad | 0.1% |
Happy | 0% |
Disgusted | 0% |
Angry | 0% |
Surprised | 0% |
Fear | 0% |
![](https://ids.lib.harvard.edu/ids/iiif/20415001/405,304,171,171/full/0/native.jpg)
Microsoft Cognitive Services
Age | 28 |
Gender | Female |
![](https://ids.lib.harvard.edu/ids/iiif/20415001/377,193,272,316/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
Categories
Imagga
people portraits | 97.9% | |
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events parties | 1.8% | |
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Captions
Microsoft
created on 2022-03-05
a person standing in front of a mirror posing for the camera | 75.8% | |
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a person brushing the teeth | 35.1% | |
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a man and a woman taking a selfie | 35% | |
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Text analysis
Amazon
![](https://ids.lib.harvard.edu/ids/iiif/20415001/992,601,10,40/full/0/native.jpg)
ععم
![](https://ids.lib.harvard.edu/ids/iiif/20415001/994,525,8,65/full/0/native.jpg)
NAGOY
![](https://ids.lib.harvard.edu/ids/iiif/20415001/212,770,74,17/full/0/native.jpg)
APRI
![](https://ids.lib.harvard.edu/ids/iiif/20415001/992,361,9,46/full/0/native.jpg)
MUS
![](https://ids.lib.harvard.edu/ids/iiif/20415001/992,429,10,73/full/0/native.jpg)
COVELA
![](https://ids.lib.harvard.edu/ids/iiif/20415001/305,769,51,15/full/0/native.jpg)
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