Machine Generated Data
Tags
Amazon
created on 2019-11-19
Clarifai
created on 2019-11-19
Imagga
created on 2019-11-19
currency | 42.2 | |
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money | 37.4 | |
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dollar | 35.3 | |
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finance | 33.8 | |
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cash | 31.1 | |
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bank | 27.3 | |
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business | 27.3 | |
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wealth | 26.9 | |
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graffito | 26.4 | |
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hundred | 26.1 | |
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dollars | 25.1 | |
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paper | 24 | |
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bill | 21.9 | |
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negative | 21.5 | |
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decoration | 21.2 | |
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banking | 21.1 | |
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financial | 18.7 | |
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film | 18.3 | |
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economy | 17.6 | |
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savings | 16.8 | |
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us | 16.4 | |
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franklin | 15.7 | |
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bills | 15.5 | |
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loan | 15.3 | |
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exchange | 15.3 | |
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sign | 15 | |
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art | 14.5 | |
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finances | 14.4 | |
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photographic paper | 14.1 | |
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rich | 14 | |
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investment | 13.7 | |
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texture | 12.5 | |
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newspaper | 12.2 | |
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wages | 11.8 | |
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market | 11.5 | |
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profit | 11.5 | |
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one | 11.2 | |
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number | 11.2 | |
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close | 10.8 | |
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design | 10.7 | |
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united | 10.5 | |
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technology | 10.4 | |
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pattern | 10.3 | |
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vintage | 10.1 | |
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greenback | 9.9 | |
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old | 9.7 | |
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states | 9.7 | |
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pay | 9.6 | |
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photographic equipment | 9.5 | |
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grunge | 9.4 | |
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stock | 9.4 | |
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wealthy | 8.8 | |
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iron lung | 8.8 | |
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paying | 8.7 | |
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architecture | 8.7 | |
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debt | 8.7 | |
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buying | 8.7 | |
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creation | 8.7 | |
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payment | 8.6 | |
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ancient | 8.6 | |
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capital | 8.5 | |
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device | 8.2 | |
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backgrounds | 8.1 | |
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religion | 8.1 | |
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success | 8 | |
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concepts | 8 | |
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product | 7.8 | |
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rate | 7.8 | |
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abundance | 7.8 | |
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notes | 7.7 | |
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power | 7.6 | |
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city | 7.5 | |
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note | 7.3 | |
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equipment | 7.2 | |
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computer | 7.2 | |
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building | 7.1 | |
|
Google
created on 2019-11-19
Photograph | 96.6 | |
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Black-and-white | 93.5 | |
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Monochrome | 89 | |
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Monochrome photography | 88.3 | |
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Snapshot | 86.6 | |
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Text | 85.2 | |
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Photography | 82.6 | |
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Stock photography | 79.8 | |
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Font | 68.6 | |
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Visual arts | 68.6 | |
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Art | 67.7 | |
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Still life photography | 59.4 | |
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Style | 57.9 | |
|
Microsoft
created on 2019-11-19
text | 96.9 | |
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drawing | 91.4 | |
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cartoon | 84.8 | |
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newspaper | 84.6 | |
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black and white | 79.5 | |
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white goods | 78 | |
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refrigerator | 74.1 | |
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handwriting | 59.8 | |
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bunch | 40.2 | |
|
Color Analysis
Face analysis
Amazon
AWS Rekognition
Age | 33-49 |
Gender | Male, 59.3% |
Calm | 69.5% |
Angry | 1.7% |
Surprised | 1.8% |
Confused | 1% |
Sad | 15% |
Disgusted | 0.4% |
Happy | 9.3% |
Fear | 1.4% |
AWS Rekognition
Age | 30-46 |
Gender | Male, 74.5% |
Confused | 88.8% |
Fear | 1.7% |
Angry | 1.6% |
Disgusted | 6.7% |
Calm | 0.1% |
Happy | 0.1% |
Sad | 0.3% |
Surprised | 0.5% |
Feature analysis
Text analysis
Amazon
GIANTEARS
15
98
29
Picture
GIANT EARS
Picue
Picture Pugyle
Puggle
Pugyle
P
CAR
RAMTPORT
POTZE
CAR S
reor
S
Pstore
Paple
POZZ1
29
CARD
FECT
GIANT EARS
Pitare
Puyhe
GIANT EARS
RANSPORT
Parlirs
Pstore
Paple
POZZ1
29
CARD
FECT
GIANT
EARS
Pitare
Puyhe
RANSPORT
Parlirs