Machine Generated Data
Tags
Amazon
created on 2019-06-05
Clarifai
created on 2019-06-05
Imagga
created on 2019-06-05
white goods | 35.8 | |
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home appliance | 28 | |
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refrigerator | 26.2 | |
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shelf | 24 | |
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architecture | 23.5 | |
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old | 21.6 | |
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paper | 21.1 | |
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house | 20 | |
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wall | 19.7 | |
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dishwasher | 19.4 | |
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case | 19.2 | |
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building | 18.8 | |
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appliance | 18.6 | |
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vintage | 17.3 | |
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furniture | 17 | |
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home | 16.7 | |
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travel | 15.5 | |
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city | 14.9 | |
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sketch | 14.9 | |
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drawing | 14.9 | |
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window | 13.8 | |
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grunge | 13.6 | |
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aged | 13.6 | |
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design | 13.5 | |
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interior | 13.3 | |
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tourism | 13.2 | |
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texture | 12.5 | |
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retro | 12.3 | |
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ancient | 12.1 | |
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history | 11.6 | |
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structure | 11.4 | |
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light | 11.4 | |
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landmark | 10.8 | |
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modern | 10.5 | |
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bill | 10.4 | |
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style | 10.4 | |
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antique | 10.4 | |
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framework | 10 | |
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wealth | 9.9 | |
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bank | 9.8 | |
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glass | 9.7 | |
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exchange | 9.5 | |
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durables | 9.5 | |
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construction | 9.4 | |
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historic | 9.2 | |
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cash | 9.1 | |
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currency | 9 | |
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urban | 8.7 | |
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money | 8.5 | |
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business | 8.5 | |
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plate rack | 8.4 | |
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finance | 8.4 | |
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frame | 8.4 | |
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furnishing | 8.4 | |
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dollar | 8.3 | |
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vacation | 8.2 | |
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metal | 8 | |
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decoration | 8 | |
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room | 7.9 | |
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artistic | 7.8 | |
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empty | 7.7 | |
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balcony | 7.4 | |
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brown | 7.4 | |
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banking | 7.3 | |
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office | 7.2 | |
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art | 7.1 | |
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romantic | 7.1 | |
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decor | 7.1 | |
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indoors | 7 | |
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representation | 7 | |
|
Google
created on 2019-06-05
Photograph | 96.7 | |
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Photographic paper | 90.6 | |
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Snapshot | 83.9 | |
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Room | 82.6 | |
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History | 74.6 | |
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Photograph album | 71.7 | |
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Photography | 70.6 | |
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Collection | 64.6 | |
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Art | 62.5 | |
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Album | 53.7 | |
|
Color Analysis
Face analysis
Amazon
AWS Rekognition
Age | 20-38 |
Gender | Male, 50% |
Calm | 49.6% |
Sad | 49.9% |
Surprised | 49.6% |
Disgusted | 49.7% |
Happy | 49.6% |
Angry | 49.6% |
Confused | 49.5% |
AWS Rekognition
Age | 35-52 |
Gender | Male, 50.1% |
Calm | 49.8% |
Disgusted | 49.5% |
Sad | 49.9% |
Angry | 49.6% |
Happy | 49.5% |
Confused | 49.6% |
Surprised | 49.5% |
Feature analysis
Amazon
Person | 85.9% | |
|
Text analysis
Amazon
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