Machine Generated Data
Tags
Amazon
created on 2023-10-23
Clarifai
created on 2023-10-15
people | 98.8 | |
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movie | 96.7 | |
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negative | 96.6 | |
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woman | 94.2 | |
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adult | 93.5 | |
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slide | 93.2 | |
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monochrome | 93.1 | |
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man | 92.5 | |
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group | 90.8 | |
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illustration | 88.8 | |
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collage | 88.3 | |
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communication | 87.6 | |
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technology | 86.4 | |
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horizontal | 86.2 | |
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child | 86 | |
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sliding | 85.7 | |
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sit | 84.5 | |
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exposed | 84.4 | |
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desktop | 83.5 | |
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filmstrip | 83.5 | |
|
Imagga
created on 2019-02-03
film | 60 | |
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negative | 52.7 | |
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photographic paper | 44.9 | |
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photographic equipment | 29.9 | |
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monitor | 26.4 | |
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vehicle | 25.7 | |
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x-ray film | 23.3 | |
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car | 22.4 | |
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equipment | 22.2 | |
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transport | 17.3 | |
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person | 17 | |
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transportation | 16.1 | |
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man | 16.1 | |
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electronic equipment | 16 | |
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people | 15 | |
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screen | 14.5 | |
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male | 13.5 | |
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old | 13.2 | |
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technology | 12.6 | |
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auto | 12.4 | |
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business | 12.1 | |
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hospital | 12.1 | |
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black | 12 | |
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home | 12 | |
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adult | 11.6 | |
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automobile | 11.5 | |
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medical | 11.5 | |
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television | 11.3 | |
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vintage | 10.7 | |
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care | 10.7 | |
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computer | 10.5 | |
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work | 10.2 | |
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patient | 10.2 | |
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health | 9.7 | |
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child | 9.7 | |
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medicine | 9.7 | |
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office | 9.6 | |
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9.6 | ||
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truck | 9.4 | |
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neonate | 9.3 | |
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inside | 9.2 | |
| ||
house | 9.2 | |
| ||
room | 9.1 | |
| ||
one | 9 | |
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baby | 8.9 | |
| ||
interior | 8.8 | |
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working | 8.8 | |
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stamp | 8.7 | |
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life | 8.6 | |
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wheel | 8.5 | |
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doctor | 8.5 | |
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art | 8.4 | |
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modern | 8.4 | |
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portrait | 8.4 | |
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communication | 8.4 | |
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horizontal | 8.4 | |
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letter | 8.2 | |
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display | 8.2 | |
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device | 8.2 | |
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happy | 8.1 | |
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digital | 8.1 | |
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businessman | 7.9 | |
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postmark | 7.9 | |
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postage | 7.9 | |
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driver | 7.8 | |
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3d | 7.7 | |
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driving | 7.7 | |
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men | 7.7 | |
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emergency | 7.7 | |
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bus | 7.7 | |
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back | 7.3 | |
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design | 7.3 | |
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passenger | 7.3 | |
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billboard | 7.3 | |
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copy space | 7.2 | |
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family | 7.1 | |
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worker | 7.1 | |
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job | 7.1 | |
|
Google
created on 2019-02-03
Photograph | 97.3 | |
| ||
Snapshot | 85.9 | |
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History | 68.8 | |
| ||
Photography | 67.8 | |
| ||
Black-and-white | 56.4 | |
|
Microsoft
created on 2019-02-03
fence | 39.9 | |
| ||
black and white | 8.2 | |
|
Color Analysis
Face analysis
Amazon
AWS Rekognition
Age | 18-24 |
Gender | Male, 97.1% |
Confused | 54.7% |
Calm | 36.8% |
Fear | 6.7% |
Surprised | 6.6% |
Sad | 2.6% |
Angry | 1.9% |
Happy | 1.9% |
Disgusted | 0.7% |
Feature analysis
Text analysis
Amazon
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