Machine Generated Data
Tags
Amazon
created on 2022-01-29
Person | 99.7 | |
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Human | 99.7 | |
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Person | 99.6 | |
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Shorts | 98.1 | |
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Clothing | 98.1 | |
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Apparel | 98.1 | |
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Poster | 97.8 | |
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Advertisement | 97.8 | |
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Person | 96.9 | |
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Pedestrian | 92.6 | |
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Path | 79.1 | |
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Flyer | 76.9 | |
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Brochure | 76.9 | |
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Paper | 76.9 | |
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Person | 70.6 | |
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Vehicle | 61.5 | |
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Transportation | 61.5 | |
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Sidewalk | 59.8 | |
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Pavement | 59.8 | |
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Text | 58.5 | |
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Road | 58.3 | |
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Overcoat | 57 | |
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Coat | 57 | |
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Face | 56.4 | |
|
Clarifai
created on 2023-10-27
Imagga
created on 2022-01-29
newspaper | 91 | |
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product | 70.9 | |
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creation | 54.2 | |
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daily | 50.5 | |
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monitor | 23.2 | |
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business | 20 | |
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technology | 19.3 | |
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computer | 17.8 | |
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man | 17.5 | |
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office | 17.3 | |
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modern | 13.3 | |
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old | 13.2 | |
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equipment | 12.8 | |
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working | 12.4 | |
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businessman | 12.4 | |
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people | 12.3 | |
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male | 12.1 | |
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design | 11.8 | |
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interior | 11.5 | |
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black | 11.4 | |
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home | 11.2 | |
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work | 11 | |
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building | 10.8 | |
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screen | 10.8 | |
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looking | 10.4 | |
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architecture | 10.1 | |
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city | 10 | |
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vintage | 9.9 | |
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electronic equipment | 9.9 | |
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information | 9.7 | |
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engineer | 9.6 | |
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laptop | 9.5 | |
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construction | 9.4 | |
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finance | 9.3 | |
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house | 9.2 | |
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back | 9.2 | |
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room | 9.1 | |
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one | 9 | |
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digital | 8.9 | |
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structure | 8.5 | |
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smile | 8.5 | |
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grunge | 8.5 | |
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plan | 8.5 | |
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art | 8.5 | |
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person | 8.3 | |
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history | 8 | |
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job | 8 | |
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indoors | 7.9 | |
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drawing | 7.7 | |
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communication | 7.6 | |
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frame | 7.5 | |
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server | 7.4 | |
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water | 7.3 | |
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financial | 7.1 | |
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adult | 7.1 | |
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travel | 7 | |
|
Google
created on 2022-01-29
Human | 89.2 | |
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Building | 88.2 | |
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Standing | 86.4 | |
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Black-and-white | 85.8 | |
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Style | 83.9 | |
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Font | 78 | |
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Road | 73.4 | |
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Monochrome | 73.2 | |
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Monochrome photography | 72.7 | |
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Advertising | 69.5 | |
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Room | 68.9 | |
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Street | 68.5 | |
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Art | 68.2 | |
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Pedestrian | 65.4 | |
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City | 63.7 | |
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Town | 63.6 | |
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Stock photography | 62 | |
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Photographic paper | 61.9 | |
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Visual arts | 57.1 | |
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Illustration | 54.8 | |
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Microsoft
created on 2022-01-29
text | 99.9 | |
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street | 88.4 | |
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city | 83.5 | |
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person | 82.4 | |
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black and white | 77.4 | |
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building | 76 | |
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clothing | 75.6 | |
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skyscraper | 74.7 | |
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white | 67.9 | |
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man | 54.1 | |
|
Color Analysis
Face analysis
Amazon

AWS Rekognition
Age | 35-43 |
Gender | Male, 84.4% |
Calm | 85.6% |
Disgusted | 7.1% |
Sad | 3.5% |
Confused | 1.4% |
Angry | 0.9% |
Surprised | 0.6% |
Happy | 0.6% |
Fear | 0.4% |

Google Vision
Surprise | Very unlikely |
Anger | Very unlikely |
Sorrow | Very unlikely |
Joy | Very unlikely |
Headwear | Very unlikely |
Blurred | Very unlikely |

Google Vision
Surprise | Very unlikely |
Anger | Very unlikely |
Sorrow | Very unlikely |
Joy | Very unlikely |
Headwear | Very unlikely |
Blurred | Very likely |
Feature analysis
Categories
Imagga
streetview architecture | 99.3% | |
|
Captions
Microsoft
created on 2022-01-29
an old photo of a person | 64.2% | |
| ||
a person standing in front of a store | 53.7% | |
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old photo of a person | 53.6% | |
|
Text analysis
Amazon

CANS

KEEP

STREETS

THE STREETS

CLEAN

THE

REFUSE

DEPOSIT REFUSE

DEPOSIT

SIDEWALK

of REFUSE CANS

DO NOTLITTER

of

FEFE EEEE EEEE AE
KEEP
SIDE WALK
-CLEAN
DO NOT LITTER
THE STREETS
DEPOSIT REFUSE
IN REFUSE CANS
ARRT

FEFE

EEEE

AE

KEEP

SIDE

WALK

-CLEAN

DO

NOT

LITTER

THE

STREETS

DEPOSIT

REFUSE

IN

CANS

ARRT