Machine Generated Data
Tags
Amazon
created on 2022-01-22
Imagga
created on 2022-01-22
ship | 54.1 | |
| ||
aircraft carrier | 42.8 | |
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warship | 40.2 | |
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vessel | 36.5 | |
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vehicle | 34 | |
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craft | 30.6 | |
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city | 29.1 | |
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military vehicle | 28.8 | |
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liner | 25.4 | |
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space shuttle | 25.2 | |
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travel | 24.6 | |
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transportation | 20.6 | |
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architecture | 20.6 | |
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spacecraft | 20.1 | |
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passenger ship | 19.6 | |
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sky | 19.1 | |
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water | 18 | |
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building | 16.9 | |
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urban | 16.6 | |
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tourism | 16.5 | |
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cityscape | 16.1 | |
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old | 16 | |
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satellite | 15 | |
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landscape | 14.9 | |
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transport | 14.6 | |
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train | 14.5 | |
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sea | 14.1 | |
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car | 13.5 | |
| ||
tower | 13.4 | |
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river | 13.3 | |
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winter | 12.8 | |
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history | 12.5 | |
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harbor | 12.5 | |
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track | 12.3 | |
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town | 12.1 | |
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industry | 12 | |
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industrial | 11.8 | |
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port | 11.6 | |
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night | 11.5 | |
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bridge | 11.3 | |
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boat | 11 | |
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railway | 10.8 | |
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steam | 10.7 | |
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smoke | 10.4 | |
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locomotive | 10.4 | |
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cold | 10.3 | |
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famous | 10.2 | |
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snow | 10 | |
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road | 9.9 | |
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outdoors | 9.7 | |
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factory | 9.6 | |
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scene | 9.5 | |
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clouds | 9.3 | |
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tourist | 9.1 | |
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landmark | 9 | |
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summer | 9 | |
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boats | 8.7 | |
| ||
outside | 8.6 | |
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church | 8.3 | |
| ||
street | 8.3 | |
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vintage | 8.3 | |
| ||
environment | 8.2 | |
| ||
scenery | 8.1 | |
| ||
structure | 7.9 | |
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station | 7.9 | |
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railroad | 7.9 | |
| ||
aerial | 7.8 | |
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highway | 7.7 | |
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engine | 7.7 | |
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downtown | 7.7 | |
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outdoor | 7.6 | |
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energy | 7.6 | |
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power | 7.6 | |
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palace | 7.5 | |
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ocean | 7.5 | |
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vacation | 7.4 | |
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black | 7.2 | |
|
Google
created on 2022-01-22
Vehicle | 90.6 | |
| ||
Train | 90 | |
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Black | 89.5 | |
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Rolling stock | 84.8 | |
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Black-and-white | 83.9 | |
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Style | 83.8 | |
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Rolling | 82.5 | |
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Line | 81.9 | |
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Locomotive | 81.8 | |
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Adaptation | 79.3 | |
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Railway | 76.4 | |
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Motor vehicle | 74.9 | |
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Rectangle | 74.6 | |
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Track | 74.5 | |
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Snapshot | 74.3 | |
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Monochrome photography | 74.3 | |
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Technology | 74.1 | |
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Art | 72.4 | |
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Font | 72.2 | |
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Asphalt | 71.7 | |
|
Microsoft
created on 2022-01-22
text | 98.9 | |
| ||
ship | 94.2 | |
| ||
black and white | 90.1 | |
| ||
black | 72.9 | |
| ||
monochrome | 58.8 | |
|
Face analysis
Amazon

AWS Rekognition
Age | 23-33 |
Gender | Male, 57.9% |
Calm | 76.1% |
Happy | 6.7% |
Angry | 5.2% |
Sad | 3.8% |
Disgusted | 3.7% |
Confused | 2.5% |
Surprised | 1.3% |
Fear | 0.7% |

AWS Rekognition
Age | 21-29 |
Gender | Female, 82.7% |
Calm | 89.1% |
Sad | 3.5% |
Confused | 2% |
Happy | 1.9% |
Angry | 1% |
Surprised | 0.9% |
Fear | 0.9% |
Disgusted | 0.7% |
Feature analysis
Captions
Microsoft
an old photo of a person | 34.2% | |
| ||
an old photo of a person | 32.3% | |
|
Text analysis
Amazon

975

CHAMBERLAIN

JOI

331-13

RODVR--EELA

a75 97S
सक
975
CHAMBERLAIN
for YT37 A°2- -NAON
331-13

a75

97S

सक

975

CHAMBERLAIN

for

YT37

A°2-

-NAON

331-13