Machine Generated Data
Tags
Amazon
created on 2019-06-05
Workshop | 80.4 | |
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Advertisement | 78.6 | |
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Human | 76.2 | |
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Person | 76.2 | |
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Room | 74.7 | |
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Indoors | 74.7 | |
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Person | 74.4 | |
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Text | 73.2 | |
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Person | 71.8 | |
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Outdoors | 67.5 | |
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Person | 67.1 | |
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Building | 65.1 | |
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Paper | 64.1 | |
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Person | 60.2 | |
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Housing | 59.9 | |
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Nature | 59.8 | |
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Brochure | 59.2 | |
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Flyer | 59.2 | |
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Art | 59 | |
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Screen | 56.8 | |
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Electronics | 56.8 | |
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Person | 54.2 | |
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Poster | 53.7 | |
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Person | 53.3 | |
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Person | 49.5 | |
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Person | 42.3 | |
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Clarifai
created on 2019-06-05
Imagga
created on 2019-06-05
web site | 100 | |
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envelope | 40.9 | |
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old | 27.9 | |
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vintage | 25.6 | |
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container | 24.3 | |
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paper | 23.5 | |
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grunge | 23 | |
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retro | 22.1 | |
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design | 19.1 | |
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border | 18.1 | |
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card | 17.8 | |
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frame | 17.6 | |
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blank | 17.1 | |
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antique | 16.4 | |
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art | 15.6 | |
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ancient | 15.6 | |
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aged | 15.4 | |
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book jacket | 14.6 | |
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symbol | 14.1 | |
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stamp | 13.9 | |
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texture | 13.9 | |
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black | 13.8 | |
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money | 13.6 | |
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currency | 13.5 | |
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13.4 | ||
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business | 13.4 | |
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drawing | 13 | |
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space | 12.4 | |
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note | 11.9 | |
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letter | 11.9 | |
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postmark | 11.8 | |
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dirty | 11.7 | |
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jacket | 11.4 | |
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savings | 11.2 | |
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empty | 11.2 | |
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cash | 11 | |
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pattern | 10.9 | |
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global | 10.9 | |
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paint | 10.9 | |
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postage | 10.8 | |
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post | 10.5 | |
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grungy | 10.4 | |
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dollar | 10.2 | |
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message | 10 | |
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collection | 9.9 | |
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bill | 9.5 | |
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page | 9.3 | |
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bank | 9 | |
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financial | 8.9 | |
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office | 8.8 | |
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graphic | 8.8 | |
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wrapping | 8.6 | |
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map | 8.4 | |
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template | 8.3 | |
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history | 8 | |
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world | 8 | |
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philately | 7.9 | |
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postal | 7.8 | |
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color | 7.8 | |
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stained | 7.7 | |
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notes | 7.7 | |
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exchange | 7.6 | |
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finance | 7.6 | |
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communication | 7.6 | |
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sign | 7.5 | |
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decorative | 7.5 | |
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silhouette | 7.4 | |
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element | 7.4 | |
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earth | 7.3 | |
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textured | 7 | |
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modern | 7 | |
|
Google
created on 2019-06-05
Photograph | 96.4 | |
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Text | 92.4 | |
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Snapshot | 86.3 | |
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Room | 74.4 | |
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Photographic paper | 73.1 | |
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Photography | 67.8 | |
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Picture frame | 62.1 | |
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Stock photography | 59.4 | |
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Paper product | 59.4 | |
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Art | 58.1 | |
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Paper | 54.3 | |
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History | 54.1 | |
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Collection | 54 | |
|
Color Analysis
Face analysis
Amazon
AWS Rekognition
Age | 19-36 |
Gender | Female, 50.1% |
Surprised | 49.6% |
Confused | 49.6% |
Angry | 49.7% |
Happy | 49.5% |
Disgusted | 49.6% |
Sad | 49.8% |
Calm | 49.8% |
AWS Rekognition
Age | 20-38 |
Gender | Female, 50.3% |
Calm | 49.6% |
Disgusted | 49.5% |
Sad | 50.4% |
Happy | 49.5% |
Confused | 49.5% |
Surprised | 49.5% |
Angry | 49.5% |
Feature analysis
Text analysis
Amazon
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Examples
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Examples of the Adaptation of Education to Speeial City Needs
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