Machine Generated Data
Tags
Amazon
created on 2022-06-24
Person | 99.8 | |
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Human | 99.8 | |
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Person | 99.7 | |
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Horse | 99.7 | |
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Animal | 99.7 | |
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Mammal | 99.7 | |
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Person | 99.7 | |
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Person | 99.4 | |
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Person | 98.9 | |
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Transportation | 95.6 | |
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Vehicle | 94.9 | |
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Metropolis | 91.8 | |
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Building | 91.8 | |
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City | 91.8 | |
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Town | 91.8 | |
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Urban | 91.8 | |
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Pedestrian | 91.5 | |
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Wagon | 91.1 | |
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Person | 90.9 | |
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Person | 85 | |
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Motorcycle | 77.9 | |
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Neighborhood | 77.4 | |
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Carriage | 76.7 | |
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Road | 75.9 | |
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Person | 73.2 | |
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Bicycle | 71.1 | |
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Bike | 71.1 | |
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Horse Cart | 68.8 | |
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Horse | 68.5 | |
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Horse | 64 | |
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Person | 61.3 | |
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Street | 59.7 | |
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Person | 53.3 | |
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Clarifai
created on 2025-01-10
Imagga
created on 2022-06-24
city | 41.6 | |
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architecture | 37.8 | |
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building | 33.9 | |
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carriage | 28.7 | |
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snow | 27.7 | |
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street | 24.9 | |
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urban | 24.5 | |
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horse cart | 20.6 | |
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travel | 20.4 | |
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tourism | 19 | |
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cart | 18.8 | |
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sky | 18.6 | |
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old | 18.1 | |
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bridge | 18 | |
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buildings | 18 | |
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sidewalk | 17.9 | |
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tourist | 16 | |
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weather | 15.7 | |
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landmark | 15.4 | |
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wheeled vehicle | 14.3 | |
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wagon | 13.3 | |
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exterior | 12.9 | |
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stone | 12.7 | |
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structure | 12.2 | |
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town | 12.1 | |
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historic | 11.9 | |
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day | 11.8 | |
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road | 11.7 | |
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vehicle | 11.7 | |
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transportation | 11.7 | |
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history | 11.6 | |
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house | 11.3 | |
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ancient | 11.2 | |
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construction | 11.1 | |
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people | 10.6 | |
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water | 10 | |
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tower | 9.9 | |
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facade | 9.7 | |
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outdoors | 9.7 | |
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windows | 9.6 | |
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capital | 9.5 | |
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cityscape | 9.5 | |
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window | 9.4 | |
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culture | 9.4 | |
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church | 9.3 | |
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wall | 8.8 | |
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cars | 8.8 | |
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antique | 8.7 | |
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england | 8.6 | |
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pier | 8.5 | |
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winter | 8.5 | |
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outdoor | 8.4 | |
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monument | 8.4 | |
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famous | 8.4 | |
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color | 8.3 | |
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new | 8.1 | |
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river | 8 | |
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brick | 7.9 | |
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support | 7.6 | |
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horse | 7.6 | |
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vintage | 7.4 | |
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boat | 7.4 | |
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transport | 7.3 | |
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summer | 7.1 | |
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Google
created on 2022-06-24
Horse | 97.3 | |
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Building | 95.7 | |
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Wheel | 95.1 | |
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Photograph | 94.2 | |
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White | 92.2 | |
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Vehicle | 92 | |
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Black | 89.7 | |
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Motor vehicle | 89.2 | |
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Working animal | 87.9 | |
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Horse and buggy | 85.7 | |
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Mode of transport | 84.9 | |
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Black-and-white | 84.4 | |
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Style | 84 | |
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Horse tack | 82 | |
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Horse supplies | 81.8 | |
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Thoroughfare | 81.4 | |
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Public space | 80.7 | |
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Carriage | 80.2 | |
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City | 77.6 | |
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Pack animal | 74.9 | |
|
Color Analysis
Face analysis
Amazon

AWS Rekognition
Age | 16-22 |
Gender | Male, 87.6% |
Happy | 46.7% |
Calm | 43% |
Surprised | 6.7% |
Fear | 6.7% |
Sad | 3.9% |
Angry | 1.8% |
Disgusted | 0.8% |
Confused | 0.5% |

AWS Rekognition
Age | 22-30 |
Gender | Male, 99.7% |
Calm | 98% |
Surprised | 6.4% |
Fear | 5.9% |
Sad | 2.3% |
Angry | 0.8% |
Happy | 0.2% |
Confused | 0.2% |
Disgusted | 0.1% |

AWS Rekognition
Age | 35-43 |
Gender | Male, 85.7% |
Fear | 27.8% |
Calm | 24.6% |
Confused | 21% |
Sad | 11% |
Surprised | 9% |
Angry | 4.5% |
Disgusted | 3.2% |
Happy | 2.9% |
Feature analysis
Categories
Imagga
streetview architecture | 99.8% | |
|
Captions
Microsoft
created on 2022-06-24
Text analysis
Amazon

LUNCH

GRIDLEYS

ENTRANCE

ST

BROTHERS

BILLING

TUNNEL ENTRANCE

ELLIOTT-FISHER

TUNNEL

CHAUNCY

ELLIOTT-FISHER CO

GRIDLEYS CLINCH

ON CHAUNCY ST

CO

SULLIVAN BROTHERS

CLINCH

ON

SULLIVAN

BOOK KEEPING

BOOK KEEPING 142 BILLING 4

WOOLENS

HEIN

4

MEMBERSON WOOLENS

Now

142

MEMBERSON

JUEINOBURO

TUNNEL ENTRANCE
CHAUNCY S
CRIDLEYS KUZUI
144
SULLIVAN BROTHERS
SSON 700LEINS
LUNCH
BOOK KEEP
FISHER CO
BILLING M

TUNNEL

ENTRANCE

CHAUNCY

S

CRIDLEYS

KUZUI

144

SULLIVAN

BROTHERS

SSON

700LEINS

LUNCH

BOOK

KEEP

FISHER

CO

BILLING

M