Machine Generated Data
Tags
Amazon
created on 2023-10-25
Clarifai
created on 2023-10-15
negative | 99.8 | |
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movie | 99.7 | |
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filmstrip | 98.9 | |
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slide | 98.8 | |
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people | 97.5 | |
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adult | 96.5 | |
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exposed | 96.4 | |
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man | 95.9 | |
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monochrome | 95.7 | |
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cinematography | 95.7 | |
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industry | 95.5 | |
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collage | 95 | |
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photograph | 94.6 | |
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sliding | 93 | |
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illustration | 92.5 | |
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bobbin | 92.4 | |
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video | 92.3 | |
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desktop | 92.2 | |
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technology | 92.1 | |
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snapshot | 91.2 | |
|
Imagga
created on 2019-02-03
wreckage | 79.6 | |
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part | 65.9 | |
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negative | 28.7 | |
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film | 27.3 | |
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photographic paper | 19.6 | |
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vehicle | 18.8 | |
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old | 16.7 | |
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vintage | 16.5 | |
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stamp | 14.5 | |
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military | 14.5 | |
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circa | 13.8 | |
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industry | 13.6 | |
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13.4 | ||
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photographic equipment | 13.1 | |
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postmark | 12.8 | |
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industrial | 12.7 | |
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tank | 12.7 | |
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cannon | 12.6 | |
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power | 12.6 | |
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retro | 12.3 | |
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letter | 11.9 | |
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postage | 11.8 | |
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aged | 11.8 | |
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envelope | 11.7 | |
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war | 11.5 | |
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art | 10.9 | |
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machine | 10.9 | |
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philately | 10.8 | |
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symbol | 10.8 | |
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transportation | 10.7 | |
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technology | 10.4 | |
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gun | 10.4 | |
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work | 10.2 | |
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architecture | 10.1 | |
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man | 10.1 | |
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danger | 10 | |
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soldier | 9.8 | |
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engine | 9.6 | |
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mask | 9.6 | |
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building | 9.5 | |
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equipment | 9.4 | |
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protection | 9.1 | |
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dirty | 9 | |
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artillery | 9 | |
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printed | 8.8 | |
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metal | 8.8 | |
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postal | 8.8 | |
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car | 8.8 | |
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army | 8.8 | |
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business | 8.5 | |
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high-angle gun | 8.5 | |
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travel | 8.4 | |
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transport | 8.2 | |
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paint | 8.1 | |
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history | 8 | |
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water | 8 | |
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steel | 7.9 | |
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shows | 7.9 | |
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address | 7.8 | |
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battle | 7.8 | |
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destruction | 7.8 | |
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screen | 7.8 | |
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ancient | 7.8 | |
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nuclear | 7.7 | |
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card | 7.6 | |
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city | 7.5 | |
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iron | 7.5 | |
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person | 7.4 | |
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message | 7.3 | |
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office | 7.2 | |
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weapon | 7.2 | |
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black | 7.2 | |
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male | 7.1 | |
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sky | 7 | |
|
Google
created on 2019-02-03
Photograph | 97.2 | |
| ||
Snapshot | 85.2 | |
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Photography | 78.4 | |
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Stock photography | 75 | |
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Font | 68.6 | |
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Black-and-white | 68.3 | |
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Negative | 66.1 | |
|
Microsoft
created on 2019-02-03
black and white | 9.2 | |
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monochrome | 8.2 | |
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banner | 5.5 | |
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art | 3.8 | |
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design | 3.8 | |
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fence | 3.7 | |
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graffiti | 3.5 | |
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information | 3.4 | |
|
Color Analysis
Face analysis
Amazon
AWS Rekognition
Age | 29-39 |
Gender | Female, 58.9% |
Calm | 97.4% |
Surprised | 6.4% |
Fear | 5.9% |
Sad | 2.3% |
Happy | 0.8% |
Confused | 0.5% |
Disgusted | 0.4% |
Angry | 0.1% |
Feature analysis
Text analysis
Amazon
es
ABS
ATS
BS
AeS
MIT
LBI
MIT MAS
OE
x
MAS
AOE
RODVK LBI x
SVEET'S
HODER
RODVK
A.I.C
Aes
Aes
es
8S
ATS
es
8S
ATS