Machine Generated Data
Tags
Amazon
created on 2022-08-30
Clarifai
created on 2023-10-12
Imagga
created on 2022-08-30
vintage | 28.9 | |
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stamp | 25.4 | |
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23.9 | ||
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postmark | 23.6 | |
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book jacket | 23.3 | |
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old | 22.3 | |
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envelope | 22.3 | |
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letter | 22 | |
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retro | 21.3 | |
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postage | 20.6 | |
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jacket | 18.1 | |
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art | 17.8 | |
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postal | 17.7 | |
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paper | 16.1 | |
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symbol | 15.5 | |
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grunge | 15.3 | |
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circa | 14.8 | |
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printed | 14.7 | |
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ancient | 14.7 | |
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card | 14.4 | |
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philately | 13.8 | |
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shows | 13.8 | |
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wrapping | 13.8 | |
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culture | 13.7 | |
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aged | 13.6 | |
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post | 13.3 | |
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black | 13.2 | |
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covering | 12.6 | |
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sketch | 12.6 | |
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drawing | 12.3 | |
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newspaper | 12.1 | |
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money | 11.9 | |
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product | 11.5 | |
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one | 11.2 | |
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portrait | 11 | |
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global | 10.9 | |
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fame | 10.9 | |
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currency | 10.8 | |
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paintings | 10.7 | |
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man | 10.7 | |
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delivery | 10.7 | |
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face | 10.6 | |
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painted | 10.5 | |
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fine | 10.5 | |
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painter | 10.4 | |
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bookmark | 10.4 | |
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antique | 10.4 | |
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design | 10.2 | |
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people | 10 | |
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post mail | 9.9 | |
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zigzag | 9.9 | |
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cutting | 9.7 | |
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office | 9.6 | |
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communications | 9.6 | |
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unique | 9.5 | |
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creation | 9.3 | |
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masterpiece | 8.9 | |
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known | 8.9 | |
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stamps | 8.9 | |
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renaissance | 8.8 | |
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museum | 8.7 | |
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icon | 8.7 | |
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decoration | 8.6 | |
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wall | 8.6 | |
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dollar | 8.3 | |
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texture | 8.3 | |
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device | 8.3 | |
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cash | 8.2 | |
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message | 8.2 | |
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closeup | 8.1 | |
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history | 8 | |
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frame | 7.8 | |
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letters | 7.7 | |
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artist | 7.7 | |
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sport | 7.4 | |
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brown | 7.4 | |
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banking | 7.3 | |
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business | 7.3 | |
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dress | 7.2 | |
|
Google
created on 2022-08-30
Hat | 85.8 | |
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Art | 83.7 | |
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Picture frame | 82.6 | |
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Painting | 80.4 | |
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Poster | 76.1 | |
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Vintage clothing | 73.4 | |
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Illustration | 72.4 | |
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Musical instrument | 71.5 | |
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Shotgun | 69.3 | |
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Rectangle | 68.5 | |
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Visual arts | 68.2 | |
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Sports equipment | 66.9 | |
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Drawing | 64.7 | |
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Fedora | 63.4 | |
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Recreation | 61.1 | |
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Wheel | 61.1 | |
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Vintage advertisement | 60.8 | |
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Air gun | 60.6 | |
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Gun barrel | 58.9 | |
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Drum | 51.9 | |
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Color Analysis
Face analysis
Amazon
AWS Rekognition
Age | 24-34 |
Gender | Male, 80.4% |
Calm | 42.3% |
Confused | 16.9% |
Surprised | 16.4% |
Fear | 12.3% |
Disgusted | 7.5% |
Sad | 4% |
Happy | 3.1% |
Angry | 1.2% |
Feature analysis
Amazon
Person | 99% | |
|
Text analysis
Amazon
PURSER
London
by
Strand
101
landson
Pub
Row
Row landson delin
delin
ROG
1709
Stores
London Pub Februs 1709 by R.Ackermann 101 Strand
CONFAC
sculp
R.Ackermann
Ship
Merke sculp
E362
Merke
rall
eu
gross rall
gross
cane eu
cheer
N.° 6
for
for C
cane
C
our
Februs
ven
905 2011
CONTAC
Ship Stores
Beef-
Row landson delin
E362
moz
mm
(
GROG
Merke sculp
N° 6
PURSER
2
London Pub Feb y 16 1799 by R Ackermann 101 Strand
ven
905
2011
CONTAC
Ship
Stores
Beef
Row
landson
delin
E362
moz
mm
(
GROG
Merke
sculp
N
°
6
PURSER
2
London
Pub
Feb
y
16
1799
by
R
Ackermann
101
Strand