Machine Generated Data
Tags
Amazon
created on 2023-10-24
Adult | 98.8 | |
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Male | 98.8 | |
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Man | 98.8 | |
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Person | 98.8 | |
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City | 97.4 | |
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Adult | 95.9 | |
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Male | 95.9 | |
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Man | 95.9 | |
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Person | 95.9 | |
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Urban | 90.6 | |
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Face | 77.8 | |
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Head | 77.8 | |
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Car | 77.4 | |
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Transportation | 77.4 | |
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Vehicle | 77.4 | |
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Handrail | 73.1 | |
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Chair | 72.1 | |
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Furniture | 72.1 | |
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Outdoors | 67.4 | |
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Bicycle | 57.5 | |
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Path | 57.5 | |
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Metropolis | 57.4 | |
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Indoors | 57.3 | |
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Restaurant | 57.2 | |
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Dining Table | 56.8 | |
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Table | 56.8 | |
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Architecture | 56.1 | |
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Building | 56.1 | |
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Dining Room | 56.1 | |
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Room | 56.1 | |
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Balcony | 56 | |
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Canal | 55.5 | |
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Towpath | 55.5 | |
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Water | 55.5 | |
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Railing | 55.4 | |
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Cafe | 55.4 | |
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Cafeteria | 55.2 | |
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Clarifai
created on 2023-10-15
people | 99.7 | |
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monochrome | 99.6 | |
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group together | 98.2 | |
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street | 97.7 | |
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bench | 96.2 | |
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transportation system | 95.8 | |
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two | 94.2 | |
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group | 93.9 | |
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many | 93.4 | |
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man | 93.3 | |
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adult | 93.2 | |
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black and white | 91.3 | |
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seat | 91.2 | |
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vehicle | 90.6 | |
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bridge | 88.1 | |
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chair | 87 | |
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sepia | 86.6 | |
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train | 84.7 | |
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woman | 84.3 | |
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wagon | 83.8 | |
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Imagga
created on 2019-02-03
freight car | 49.1 | |
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car | 41.5 | |
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city | 40.8 | |
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architecture | 35.6 | |
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wheeled vehicle | 31 | |
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sky | 26.2 | |
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travel | 24.7 | |
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building | 24.4 | |
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ship | 23 | |
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tower | 22.4 | |
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town | 22.3 | |
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structure | 21.4 | |
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cityscape | 20.8 | |
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vehicle | 20.6 | |
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tourism | 19 | |
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urban | 18.4 | |
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liner | 17.7 | |
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water | 17.4 | |
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billboard | 17 | |
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landscape | 16.4 | |
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sketch | 15.7 | |
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landmark | 15.4 | |
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panorama | 15.3 | |
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buildings | 15.1 | |
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center | 14.3 | |
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river | 14.2 | |
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passenger ship | 14.2 | |
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sea | 14.1 | |
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signboard | 13.5 | |
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roof | 13.5 | |
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skyline | 13.3 | |
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old | 13.2 | |
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vessel | 13.1 | |
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construction | 12.8 | |
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bridge | 12.3 | |
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famous | 12.1 | |
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house | 12 | |
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industrial | 11.8 | |
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aerial | 11.7 | |
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history | 11.6 | |
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drawing | 11.5 | |
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scene | 11.3 | |
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church | 11.1 | |
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exterior | 11.1 | |
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summer | 10.9 | |
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destination | 10.3 | |
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monument | 10.3 | |
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representation | 10 | |
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coast | 9.9 | |
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panoramic | 9.6 | |
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culture | 9.4 | |
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clouds | 9.3 | |
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street | 9.2 | |
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boat | 9.2 | |
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chimney | 8.8 | |
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ocean | 8.7 | |
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high | 8.7 | |
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industry | 8.5 | |
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wall | 8.5 | |
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steel | 8.1 | |
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ancient | 7.8 | |
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factory | 7.7 | |
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pollution | 7.7 | |
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downtown | 7.7 | |
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concrete | 7.7 | |
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outdoor | 7.6 | |
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bay | 7.6 | |
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outdoors | 7.5 | |
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vacation | 7.4 | |
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sun | 7.2 | |
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transportation | 7.2 | |
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park | 7.1 | |
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marina | 7 | |
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modern | 7 | |
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Google
created on 2019-02-03
Snapshot | 83.3 | |
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Mode of transport | 80.8 | |
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Vehicle | 59.2 | |
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Black-and-white | 56.4 | |
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City | 51.3 | |
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Metal | 51.1 | |
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Microsoft
created on 2019-02-03
window | 97.4 | |
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black and white | 97.4 | |
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street | 53.1 | |
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city | 21.9 | |
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bicycle | 20.7 | |
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Color Analysis
Face analysis
Amazon

AWS Rekognition
Age | 45-53 |
Gender | Male, 99.6% |
Calm | 85.6% |
Surprised | 6.6% |
Sad | 6.6% |
Fear | 6% |
Confused | 3.2% |
Angry | 1% |
Disgusted | 0.6% |
Happy | 0.4% |

AWS Rekognition
Age | 54-64 |
Gender | Female, 99.9% |
Sad | 85.1% |
Calm | 28.8% |
Disgusted | 9.9% |
Surprised | 7.8% |
Fear | 6.6% |
Confused | 6.5% |
Happy | 5.9% |
Angry | 5.4% |
Feature analysis
Categories
Imagga
cars vehicles | 82.9% | |
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streetview architecture | 11.4% | |
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paintings art | 3.3% | |
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beaches seaside | 1% | |
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Captions
Microsoft
created on 2019-02-03
a person riding on the back of a train window | 47.2% | |
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a person riding on the back of a train window | 47.1% | |
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a person riding on the back of a train | 32.6% | |
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Text analysis
Amazon

LOFTS

Bliss

Bliss Buildings

Buildings

LIVE

NIGHT

CAPACITY

NIGHT SERVICE

SERVICE

LIVE STEAM

AGENT

STEAM

EAVY

EAVY FLOOR CAPACITY

-

AlvesCo

AGENT DE -

FLOOR

ALG

INE&CO...

STORES

4-7521

2E19°ST. ALG 4-7521

DE

2E19°ST.

allinio

Democracy

Bliss
LO
EAVY FLOC3 CAPACIT
INE&CO

Bliss

LO

EAVY

FLOC3

CAPACIT

INE&CO