Machine Generated Data
Tags
Amazon
created on 2019-06-04
Clarifai
created on 2019-06-04
people | 99.9 | |
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group | 98.7 | |
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adult | 98.7 | |
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many | 96.6 | |
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96.3 | ||
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man | 94.8 | |
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group together | 92.6 | |
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military | 92 | |
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furniture | 91.7 | |
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administration | 90.8 | |
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wear | 90.5 | |
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war | 90.5 | |
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watercraft | 90 | |
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room | 89.7 | |
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leader | 88.8 | |
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vehicle | 88.4 | |
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art | 83.1 | |
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several | 82.7 | |
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illustration | 82.5 | |
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woman | 82.5 | |
|
Imagga
created on 2019-06-04
blackboard | 88.5 | |
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old | 24.4 | |
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comic book | 24.1 | |
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vintage | 23.2 | |
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grunge | 23 | |
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retro | 21.3 | |
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newspaper | 21.2 | |
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texture | 20.8 | |
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aged | 17.2 | |
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product | 16.7 | |
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art | 16.4 | |
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antique | 15.6 | |
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ancient | 14.7 | |
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design | 14.6 | |
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pattern | 14.4 | |
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creation | 13.1 | |
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business | 12.8 | |
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paper | 12.5 | |
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graphic | 12.4 | |
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frame | 11.9 | |
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finance | 11.8 | |
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dirty | 11.7 | |
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man | 11.4 | |
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book jacket | 10.5 | |
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text | 10.5 | |
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grungy | 10.4 | |
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wall | 10.3 | |
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black | 10.2 | |
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dollar | 10.2 | |
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money | 10.2 | |
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currency | 9.9 | |
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financial | 9.8 | |
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drawing | 9.7 | |
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print media | 9.6 | |
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brown | 9.6 | |
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wallpaper | 9.2 | |
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letter | 9.2 | |
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cash | 9.2 | |
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global | 9.1 | |
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rough | 9.1 | |
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paint | 9.1 | |
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border | 9 | |
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decoration | 8.9 | |
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chalkboard | 8.8 | |
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architecture | 8.6 | |
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classroom | 8.6 | |
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bill | 8.6 | |
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map | 8.5 | |
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male | 8.5 | |
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card | 8.5 | |
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house | 8.4 | |
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sign | 8.3 | |
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jacket | 8.2 | |
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digital | 8.1 | |
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bank | 8.1 | |
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building | 7.9 | |
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circa | 7.9 | |
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people | 7.8 | |
| ||
education | 7.8 | |
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chalk | 7.8 | |
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hundred | 7.7 | |
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diagram | 7.7 | |
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worn | 7.6 | |
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poster | 7.5 | |
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decorative | 7.5 | |
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symbol | 7.4 | |
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sketch | 7.1 | |
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surface | 7.1 | |
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envelope | 7 | |
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modern | 7 | |
|
Google
created on 2019-06-04
Photograph | 96.4 | |
| ||
Text | 88.1 | |
| ||
Snapshot | 87.7 | |
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Room | 76.5 | |
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Photography | 62.4 | |
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History | 60.4 | |
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Stock photography | 59.4 | |
|
Color Analysis
Face analysis
Amazon

AWS Rekognition
Age | 20-38 |
Gender | Male, 50.6% |
Surprised | 45.2% |
Calm | 45.5% |
Sad | 49.7% |
Happy | 45.3% |
Angry | 46.6% |
Confused | 45.3% |
Disgusted | 47.3% |

AWS Rekognition
Age | 35-55 |
Gender | Male, 52.5% |
Surprised | 45.4% |
Confused | 45.4% |
Disgusted | 45.8% |
Sad | 47.2% |
Happy | 45.7% |
Calm | 48.7% |
Angry | 46.8% |

AWS Rekognition
Age | 14-25 |
Gender | Female, 50.3% |
Sad | 50.4% |
Happy | 49.5% |
Angry | 49.6% |
Calm | 49.5% |
Surprised | 49.5% |
Confused | 49.5% |
Disgusted | 49.5% |

AWS Rekognition
Age | 38-59 |
Gender | Female, 50.1% |
Happy | 49.8% |
Disgusted | 49.6% |
Confused | 49.5% |
Angry | 49.6% |
Surprised | 49.5% |
Sad | 49.9% |
Calm | 49.6% |

AWS Rekognition
Age | 16-27 |
Gender | Male, 54.3% |
Disgusted | 50.7% |
Calm | 45.1% |
Happy | 45.7% |
Angry | 45.3% |
Sad | 47.4% |
Confused | 45.4% |
Surprised | 45.4% |
Feature analysis
Categories
Imagga
interior objects | 63.4% | |
| ||
streetview architecture | 15.4% | |
| ||
events parties | 6.7% | |
| ||
paintings art | 5.9% | |
| ||
people portraits | 3.1% | |
| ||
food drinks | 2.4% | |
| ||
text visuals | 1.5% | |
|
Captions
Microsoft
created on 2019-06-04
a vintage photo of a store | 75% | |
| ||
a vintage photo of a shop | 74.9% | |
| ||
an old photo of a store | 74.8% | |
|
Text analysis
Amazon

Examples

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