Machine Generated Data
Tags
Amazon
created on 2019-06-07
Clarifai
created on 2019-06-07
Imagga
created on 2019-06-07
envelope | 99.7 | |
| ||
container | 63 | |
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paper | 31.6 | |
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business | 29.2 | |
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money | 28.9 | |
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letter | 22 | |
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stamp | 20.6 | |
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card | 20.4 | |
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note | 20.2 | |
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post | 20 | |
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vintage | 19.9 | |
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currency | 19.7 | |
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old | 19.5 | |
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dollar | 19.5 | |
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19.1 | ||
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retro | 18.8 | |
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cash | 18.3 | |
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blank | 18 | |
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message | 17.4 | |
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web site | 16.2 | |
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finance | 16.1 | |
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postage | 15.7 | |
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financial | 15.1 | |
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bank | 14.8 | |
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postmark | 14.8 | |
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design | 14.7 | |
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office | 14.5 | |
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bill | 14.3 | |
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sign | 13.5 | |
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wealth | 13.5 | |
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close | 13.1 | |
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map | 13 | |
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postal | 12.8 | |
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aged | 11.8 | |
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exchange | 11.5 | |
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symbol | 11.4 | |
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communication | 10.9 | |
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dollars | 10.6 | |
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international | 10.5 | |
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savings | 10.3 | |
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template | 10.1 | |
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investment | 10.1 | |
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frame | 10 | |
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border | 10 | |
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world | 9.7 | |
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notes | 9.6 | |
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antique | 9.5 | |
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document | 9.3 | |
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banking | 9.2 | |
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global | 9.1 | |
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texture | 9 | |
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history | 8.9 | |
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philately | 8.9 | |
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creative | 8.8 | |
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ancient | 8.6 | |
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empty | 8.6 | |
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grunge | 8.5 | |
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book jacket | 8.4 | |
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dirty | 8.1 | |
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new | 8.1 | |
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art | 8.1 | |
| ||
man | 8.1 | |
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graphic | 8 | |
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copy | 8 | |
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address | 7.8 | |
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correspondence | 7.8 | |
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black | 7.8 | |
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bills | 7.8 | |
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banknote | 7.8 | |
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space | 7.8 | |
| ||
hundred | 7.7 | |
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newspaper | 7.7 | |
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pattern | 7.5 | |
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rich | 7.4 | |
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page | 7.4 | |
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object | 7.3 | |
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earth | 7.3 | |
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detail | 7.2 | |
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home | 7.2 | |
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product | 7 | |
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modern | 7 | |
|
Google
created on 2019-06-07
Photograph | 96.1 | |
| ||
Text | 94.5 | |
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Snapshot | 84.1 | |
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Paper | 71.7 | |
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Room | 71.4 | |
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History | 67.6 | |
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Adaptation | 67 | |
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Paper product | 64.3 | |
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Newsprint | 60.7 | |
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Art | 50.2 | |
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Collection | 50 | |
|
Microsoft
created on 2019-06-07
person | 71.6 | |
|
Face analysis
Amazon

AWS Rekognition
Age | 11-18 |
Gender | Male, 50.5% |
Angry | 49.6% |
Sad | 49.6% |
Disgusted | 49.5% |
Happy | 49.6% |
Calm | 49.8% |
Confused | 49.6% |
Surprised | 49.6% |

AWS Rekognition
Age | 19-36 |
Gender | Female, 50.5% |
Angry | 49.6% |
Confused | 49.6% |
Calm | 49.6% |
Sad | 49.8% |
Disgusted | 49.6% |
Happy | 49.7% |
Surprised | 49.6% |

AWS Rekognition
Age | 30-47 |
Gender | Female, 50.1% |
Sad | 49.7% |
Angry | 49.6% |
Calm | 49.7% |
Disgusted | 49.7% |
Surprised | 49.6% |
Confused | 49.6% |
Happy | 49.5% |
Feature analysis
Amazon







Person | 97.3% | |
|
Captions
Microsoft
a screenshot of a cell phone | 48.5% | |
| ||
a screenshot of a cell phone screen with text | 48.4% | |
| ||
a close up of a cell phone screen with text | 48.3% | |
|
Text analysis
Amazon

Conditions:

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Housing

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IN

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New

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cellar

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Conditions:

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in-

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eleendne,

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are

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