Machine Generated Data
Tags
Amazon
created on 2019-04-05
Clarifai
created on 2018-04-19
Imagga
created on 2018-04-19
old | 33.5 | |
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bookmark | 31 | |
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building | 30 | |
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wall | 29.2 | |
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architecture | 28.4 | |
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structure | 25.9 | |
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door | 24.8 | |
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vintage | 22.3 | |
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antique | 21.6 | |
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window | 20.9 | |
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tourism | 17.3 | |
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ancient | 17.3 | |
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house | 16.8 | |
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texture | 16.7 | |
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grunge | 15.3 | |
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decoration | 15 | |
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travel | 14.8 | |
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book jacket | 14.6 | |
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stone | 14.3 | |
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retro | 13.9 | |
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entrance | 13.5 | |
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paper | 13.3 | |
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memorial | 13.3 | |
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brass | 12.8 | |
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history | 12.5 | |
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frame | 12.5 | |
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city | 12.5 | |
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jacket | 12.3 | |
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wooden | 12.3 | |
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religion | 11.7 | |
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art | 11.4 | |
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town | 11.1 | |
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construction | 11.1 | |
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church | 11.1 | |
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brown | 11 | |
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historic | 11 | |
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aged | 10.9 | |
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graffito | 10.6 | |
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detail | 10.5 | |
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covering | 10.4 | |
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sketch | 10.4 | |
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historical | 10.4 | |
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arch | 9.8 | |
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wrapping | 9.6 | |
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home | 9.6 | |
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weathered | 9.5 | |
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drawing | 9.4 | |
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glass | 9.3 | |
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exterior | 9.2 | |
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shield | 9.2 | |
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wood | 9.2 | |
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design | 9.1 | |
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tourist | 9.1 | |
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dirty | 9 | |
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landmark | 9 | |
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material | 8.9 | |
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facade | 8.9 | |
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pattern | 8.9 | |
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symbol | 8.8 | |
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architectural | 8.7 | |
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sculpture | 8.6 | |
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brick | 8.6 | |
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damaged | 8.6 | |
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culture | 8.5 | |
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temple | 8.5 | |
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religious | 8.4 | |
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monument | 8.4 | |
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traditional | 8.3 | |
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urban | 7.9 | |
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empty | 7.7 | |
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device | 7.7 | |
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flag | 7.7 | |
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windows | 7.7 | |
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worn | 7.6 | |
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armor | 7.4 | |
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rough | 7.3 | |
|
Google
created on 2018-04-19
photograph | 95.2 | |
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picture frame | 81.5 | |
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history | 70.5 | |
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vintage clothing | 62.8 | |
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collection | 59.4 | |
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art | 53.2 | |
|
Color Analysis
Face analysis
Amazon
AWS Rekognition
Age | 12-22 |
Gender | Female, 50.1% |
Angry | 49.5% |
Surprised | 49.5% |
Calm | 49.8% |
Sad | 50.1% |
Happy | 49.5% |
Disgusted | 49.5% |
Confused | 49.5% |
AWS Rekognition
Age | 26-43 |
Gender | Female, 50.5% |
Surprised | 49.5% |
Calm | 49.6% |
Happy | 49.5% |
Confused | 49.5% |
Disgusted | 49.5% |
Sad | 50.3% |
Angry | 49.6% |
AWS Rekognition
Age | 38-59 |
Gender | Male, 50.3% |
Angry | 49.6% |
Surprised | 49.5% |
Happy | 49.5% |
Calm | 49.6% |
Sad | 49.7% |
Confused | 49.6% |
Disgusted | 49.8% |
AWS Rekognition
Age | 26-44 |
Gender | Female, 50.5% |
Sad | 50.1% |
Surprised | 49.5% |
Confused | 49.5% |
Disgusted | 49.5% |
Calm | 49.6% |
Happy | 49.6% |
Angry | 49.6% |
AWS Rekognition
Age | 19-36 |
Gender | Female, 50.5% |
Surprised | 49.6% |
Happy | 50% |
Sad | 49.6% |
Confused | 49.5% |
Angry | 49.7% |
Disgusted | 49.5% |
Calm | 49.6% |
AWS Rekognition
Age | 20-38 |
Gender | Female, 50.4% |
Angry | 49.6% |
Confused | 49.5% |
Calm | 49.6% |
Sad | 50.2% |
Happy | 49.5% |
Surprised | 49.5% |
Disgusted | 49.6% |