Machine Generated Data
Tags
Amazon
created on 2022-01-22
Person | 98.4 | |
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Human | 98.4 | |
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Automobile | 97.9 | |
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Car | 97.9 | |
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Vehicle | 97.9 | |
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Transportation | 97.9 | |
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Indoors | 96.3 | |
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Interior Design | 96.3 | |
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Person | 96.1 | |
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Car | 94.8 | |
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Sedan | 93.6 | |
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Person | 93.3 | |
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Person | 92.2 | |
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Person | 89.5 | |
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Wheel | 87.8 | |
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Machine | 87.8 | |
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Car | 87.5 | |
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Person | 85 | |
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Car | 84.3 | |
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Person | 76.1 | |
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Car | 74.5 | |
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Person | 72 | |
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Person | 69.7 | |
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Person | 68.5 | |
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Person | 66.5 | |
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Person | 65.8 | |
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Person | 65.6 | |
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Sports Car | 62.4 | |
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Bumper | 58.8 | |
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Home Decor | 58.6 | |
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Building | 58.2 | |
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Crowd | 57.7 | |
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Coupe | 56.8 | |
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Car | 56.5 | |
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Car | 55.7 | |
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Person | 48.3 | |
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Clarifai
created on 2023-10-26
people | 99.3 | |
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monochrome | 98.9 | |
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many | 98 | |
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street | 98 | |
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architecture | 97.5 | |
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group | 96.1 | |
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no person | 95.6 | |
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building | 95.2 | |
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railway | 95 | |
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transportation system | 94.5 | |
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vehicle | 94.5 | |
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group together | 94.1 | |
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theater | 92.2 | |
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stock | 91.8 | |
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room | 91.2 | |
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man | 90.1 | |
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city | 89.8 | |
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war | 89 | |
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train | 88.2 | |
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administration | 87.6 | |
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Imagga
created on 2022-01-22
architecture | 34.9 | |
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building | 33.6 | |
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city | 29.9 | |
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structure | 28 | |
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urban | 27.1 | |
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hall | 24.1 | |
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room | 23.4 | |
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modern | 22.4 | |
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sketch | 21.5 | |
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deck | 21 | |
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office | 20.3 | |
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center | 19.4 | |
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construction | 18.8 | |
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interior | 18.6 | |
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cinema | 18.5 | |
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transportation | 17.9 | |
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gymnasium | 17.9 | |
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sky | 17.9 | |
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classroom | 17.7 | |
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business | 17.6 | |
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house | 16.7 | |
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theater | 14.8 | |
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buildings | 14.2 | |
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glass | 14 | |
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floor | 13.9 | |
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travel | 13.4 | |
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facility | 13 | |
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athletic facility | 12.8 | |
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drawing | 12.4 | |
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steel | 12.4 | |
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metal | 12.1 | |
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station | 11.9 | |
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transport | 11.9 | |
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light | 11.4 | |
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bridge | 11.4 | |
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design | 11.3 | |
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supermarket | 11.1 | |
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window | 11 | |
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reflection | 10.6 | |
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table | 10.4 | |
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industry | 10.2 | |
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water | 10 | |
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billboard | 9.8 | |
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traffic | 9.5 | |
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chair | 9.4 | |
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wall | 9.4 | |
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3d | 9.3 | |
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representation | 9.2 | |
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grocery store | 9 | |
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furniture | 8.7 | |
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roof | 8.6 | |
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inside | 8.3 | |
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tourism | 8.3 | |
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vacation | 8.2 | |
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industrial | 8.2 | |
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road | 8.1 | |
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landmark | 8.1 | |
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night | 8 | |
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offices | 7.9 | |
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nobody | 7.8 | |
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empty | 7.7 | |
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residential | 7.7 | |
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lamp | 7.6 | |
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development | 7.6 | |
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cityscape | 7.6 | |
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destination | 7.5 | |
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evening | 7.5 | |
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landscape | 7.4 | |
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exterior | 7.4 | |
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street | 7.4 | |
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indoor | 7.3 | |
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new | 7.3 | |
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school | 7.2 | |
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signboard | 7.1 | |
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river | 7.1 | |
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day | 7.1 | |
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Google
created on 2022-01-22
Car | 96.1 | |
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Vehicle | 94.7 | |
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Building | 93.7 | |
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Motor vehicle | 90.7 | |
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Automotive lighting | 90.3 | |
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Automotive design | 81.6 | |
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Kit car | 76.6 | |
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Classic car | 75.7 | |
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Window | 74.7 | |
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Automotive exterior | 73.8 | |
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Monochrome | 71.6 | |
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Monochrome photography | 70.8 | |
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Facade | 69.6 | |
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House | 69.3 | |
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Family car | 69.2 | |
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Classic | 68.9 | |
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Illustration | 67.7 | |
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Mid-size car | 67 | |
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Antique car | 66.1 | |
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Personal luxury car | 65.7 | |
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Microsoft
created on 2022-01-22
building | 99.9 | |
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text | 98.7 | |
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black and white | 93 | |
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outdoor | 92.9 | |
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car | 89.5 | |
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vehicle | 88.9 | |
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land vehicle | 76.1 | |
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several | 25 | |
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Color Analysis
Face analysis
Amazon
AWS Rekognition
Age | 23-33 |
Gender | Female, 72.1% |
Sad | 67.6% |
Happy | 11.8% |
Fear | 7.1% |
Calm | 5.1% |
Angry | 2.7% |
Confused | 2.3% |
Surprised | 1.9% |
Disgusted | 1.5% |
AWS Rekognition
Age | 20-28 |
Gender | Female, 96.4% |
Calm | 75% |
Happy | 16.2% |
Angry | 3% |
Sad | 2.6% |
Surprised | 1.3% |
Disgusted | 1.1% |
Fear | 0.6% |
Confused | 0.3% |
Feature analysis
Text analysis
Amazon
CO.
SHOP
J.C.PENNEY CO.
S
J.C.PENNEY
TO
50 TO
Marty
50
day
KOBAK-
KOBAK- EVELTA
EVELTA
J.C.
PENNEY
SHOP
J.C. PENNEY CO.
gMarly
SHOP
CO.
gMarly