Machine Generated Data
Tags
Amazon
created on 2022-01-22
Clarifai
created on 2023-10-26
Imagga
created on 2022-01-22
money | 28.1 | |
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device | 24 | |
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business | 23.1 | |
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cash | 22.9 | |
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currency | 22.4 | |
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finance | 22 | |
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banking | 21.1 | |
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bank | 20.6 | |
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wealth | 18.8 | |
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dollar | 17.6 | |
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equipment | 17.4 | |
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file | 17.4 | |
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technology | 17.1 | |
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savings | 15.8 | |
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paper | 15.7 | |
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furniture | 15.6 | |
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computer | 15.5 | |
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hundred | 15.5 | |
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bill | 15.2 | |
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case | 14.5 | |
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white goods | 14.4 | |
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dollars | 13.5 | |
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office furniture | 13.5 | |
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investment | 12.8 | |
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home | 12 | |
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3d | 11.6 | |
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save | 11.4 | |
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home appliance | 11.3 | |
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house | 10.9 | |
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financial | 10.7 | |
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refrigerator | 10.6 | |
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pay | 10.5 | |
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loan | 10.5 | |
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memory device | 10.5 | |
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success | 10.5 | |
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cassette tape | 10.4 | |
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rich | 10.2 | |
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office | 10.2 | |
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stack | 10.2 | |
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note | 10.1 | |
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window | 9.9 | |
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paying | 9.7 | |
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appliance | 9.7 | |
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us | 9.6 | |
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economy | 9.3 | |
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shopping | 9.2 | |
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old | 9.1 | |
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box | 9 | |
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metal | 8.9 | |
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magnetic tape | 8.8 | |
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bills | 8.7 | |
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container | 8.7 | |
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payment | 8.7 | |
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credit | 8.6 | |
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expensive | 8.6 | |
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exchange | 8.6 | |
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storage | 8.6 | |
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pile | 8.4 | |
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design | 8.4 | |
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pump | 8.1 | |
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steel | 8 | |
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work | 7.8 | |
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architecture | 7.8 | |
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debt | 7.7 | |
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industry | 7.7 | |
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hardware | 7.7 | |
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card | 7.6 | |
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communication | 7.6 | |
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buy | 7.5 | |
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dishwasher | 7.5 | |
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vintage | 7.4 | |
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close | 7.4 | |
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monitor | 7.4 | |
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machine | 7.3 | |
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interior | 7.1 | |
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working | 7.1 | |
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modern | 7 | |
|
Google
created on 2022-01-22
Font | 78.5 | |
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Electronic instrument | 75.4 | |
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Monochrome photography | 74.2 | |
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Monochrome | 71.3 | |
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Machine | 70.8 | |
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Rectangle | 67.9 | |
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Room | 64.1 | |
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Office equipment | 62.1 | |
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Publication | 59 | |
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Advertising | 57.3 | |
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Paper | 56 | |
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Photographic paper | 55.8 | |
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Art | 55.3 | |
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Paper product | 51.1 | |
|
Microsoft
created on 2022-01-22
text | 99.9 | |
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piano | 88.8 | |
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musical instrument | 67.3 | |
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black and white | 65.8 | |
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accordion | 56.3 | |
|
Color Analysis
Face analysis
Amazon
AWS Rekognition
Age | 25-35 |
Gender | Female, 97.3% |
Calm | 44% |
Happy | 20% |
Angry | 9.8% |
Sad | 9.6% |
Confused | 6.5% |
Surprised | 3.9% |
Disgusted | 3.2% |
Fear | 3% |
Google Vision
Surprise | Very unlikely |
Anger | Very unlikely |
Sorrow | Very unlikely |
Joy | Very unlikely |
Headwear | Very unlikely |
Blurred | Very unlikely |
Feature analysis
Amazon
Person | 99% | |
|
Text analysis
Amazon
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SOON
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FAMILY
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in
RESULTS
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Cooking
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SAVE
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MODERNIZED
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RESULTS
TO
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