Machine Generated Data
Tags
Clarifai
created on 2023-10-14
Imagga
created on 2021-11-10
book jacket | 74.6 | |
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jacket | 61 | |
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wrapping | 44.1 | |
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covering | 30.7 | |
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old | 25.1 | |
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vintage | 24.8 | |
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grunge | 23.8 | |
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antique | 20.8 | |
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retro | 20.5 | |
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art | 19.2 | |
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ancient | 18.2 | |
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aged | 18.1 | |
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paper | 16 | |
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statue | 15.7 | |
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sculpture | 15.7 | |
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texture | 15.3 | |
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envelope | 14.9 | |
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product | 13 | |
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cover | 13 | |
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letter | 12.8 | |
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culture | 12.8 | |
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stamp | 12.7 | |
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dirty | 12.7 | |
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12.4 | ||
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newspaper | 12.4 | |
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empty | 12 | |
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card | 12 | |
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postage | 11.8 | |
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face | 11.4 | |
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detail | 11.3 | |
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monument | 11.2 | |
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book | 10.4 | |
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creation | 10.4 | |
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historical | 10.3 | |
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frame | 10.1 | |
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design | 10.1 | |
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symbol | 10.1 | |
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decorative | 10 | |
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travel | 9.9 | |
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postmark | 9.8 | |
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decoration | 9.7 | |
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blank | 9.4 | |
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architecture | 9.4 | |
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bookmark | 9.2 | |
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portrait | 9.1 | |
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border | 9 | |
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color | 8.9 | |
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brown | 8.8 | |
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postal | 8.8 | |
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damaged | 8.6 | |
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memorial | 8.6 | |
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wall | 8.6 | |
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container | 8.5 | |
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head | 8.4 | |
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rough | 8.2 | |
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global | 8.2 | |
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national | 8.2 | |
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landmark | 8.1 | |
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history | 8 | |
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material | 8 | |
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binding | 8 | |
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structure | 7.8 | |
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party | 7.7 | |
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international | 7.6 | |
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post | 7.6 | |
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old fashioned | 7.6 | |
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grungy | 7.6 | |
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pattern | 7.5 | |
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traditional | 7.5 | |
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element | 7.4 | |
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closeup | 7.4 | |
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paint | 7.2 | |
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world | 7.2 | |
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day | 7.1 | |
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stone | 7.1 | |
|
Google
created on 2021-11-10
Rectangle | 80 | |
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Art | 79.1 | |
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Tints and shades | 74.1 | |
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Vintage clothing | 71.6 | |
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Illustration | 66 | |
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Painting | 65.5 | |
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History | 64.9 | |
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Paper product | 64.5 | |
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Paper | 64.1 | |
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Visual arts | 63.5 | |
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Book | 61 | |
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Antique | 60 | |
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Font | 60 | |
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Wood | 58.3 | |
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Room | 55.4 | |
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Sitting | 51.9 | |
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Retro style | 51.4 | |
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Drawing | 51.3 | |
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Color Analysis
Face analysis
Amazon
AWS Rekognition
Age | 21-33 |
Gender | Male, 83.6% |
Sad | 48.1% |
Calm | 37% |
Angry | 11.2% |
Disgusted | 1.4% |
Confused | 1.2% |
Surprised | 0.5% |
Fear | 0.4% |
Happy | 0.1% |
Feature analysis
Amazon
Person | 98.9% | |
|
Text analysis
Amazon
Por
que
fue
Por que fue sensible.
32.
sensible.
32
Por que fue sensible.
000
O00 0@000@ 09000 00000 O0000©0O0@0000 09000 00000 O@0©0 000000
OOOA@Q@00 000000 0000000000 00000
32
Por
que
fue
sensible.
000
O00
0@000@
09000
00000
O0000©0O0@0000
O@0©0
000000
OOOA@Q@00
0000000000