Machine Generated Data
Tags
Amazon
created on 2019-06-04
Restaurant | 98.2 | |
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Person | 98 | |
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Human | 98 | |
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Person | 94.6 | |
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Person | 94.4 | |
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Person | 93.1 | |
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Person | 93 | |
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Person | 92.4 | |
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Cafeteria | 86.8 | |
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Furniture | 85.5 | |
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Person | 83.5 | |
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Person | 82 | |
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Person | 78.5 | |
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Person | 77.4 | |
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Outdoors | 75.9 | |
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Nature | 74.9 | |
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Table | 74.1 | |
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Text | 71.3 | |
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Person | 70.8 | |
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Dining Table | 69.8 | |
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Advertisement | 68.4 | |
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Poster | 68.4 | |
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Person | 67.5 | |
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Tabletop | 58.1 | |
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Food | 57.8 | |
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Meal | 57.8 | |
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Chair | 55.2 | |
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Clarifai
created on 2019-06-04
Imagga
created on 2019-06-04
classroom | 45.2 | |
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room | 39 | |
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building | 27.7 | |
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architecture | 27.3 | |
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structure | 25.4 | |
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city | 24.9 | |
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urban | 21.8 | |
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water | 20 | |
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sky | 19.8 | |
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travel | 19 | |
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web site | 18.6 | |
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bridge | 15.3 | |
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modern | 14.7 | |
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construction | 14.5 | |
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coast | 14.4 | |
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buildings | 14.2 | |
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facility | 13.6 | |
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clouds | 13.5 | |
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house | 13.4 | |
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ocean | 13.3 | |
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old | 12.5 | |
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sea | 12.5 | |
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vacation | 12.3 | |
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billboard | 12.2 | |
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car | 11.7 | |
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river | 11.6 | |
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beach | 11 | |
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tourism | 10.7 | |
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light | 10 | |
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signboard | 9.9 | |
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business | 9.7 | |
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scene | 9.5 | |
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industry | 9.4 | |
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reflection | 9.4 | |
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bay | 9.3 | |
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gymnasium | 9.3 | |
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street | 9.2 | |
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island | 9.1 | |
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transport | 9.1 | |
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vintage | 9.1 | |
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retro | 9 | |
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sunset | 9 | |
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trees | 8.9 | |
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night | 8.9 | |
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downtown | 8.6 | |
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hall | 8.6 | |
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grunge | 8.5 | |
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cityscape | 8.5 | |
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window | 8.4 | |
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design | 8.4 | |
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vehicle | 8.4 | |
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freight car | 8.2 | |
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landscape | 8.2 | |
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tourist | 8.2 | |
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landmark | 8.1 | |
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transportation | 8.1 | |
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tower | 8.1 | |
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history | 8 | |
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home | 8 | |
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pier | 7.9 | |
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holiday | 7.9 | |
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station | 7.8 | |
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tree | 7.7 | |
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windows | 7.7 | |
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tropical | 7.7 | |
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skyline | 7.6 | |
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university | 7.5 | |
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destination | 7.5 | |
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shore | 7.4 | |
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athletic facility | 7.4 | |
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town | 7.4 | |
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office | 7.3 | |
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interior | 7.1 | |
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summer | 7.1 | |
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library | 7.1 | |
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Google
created on 2019-06-04
Text | 88.1 | |
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Room | 74.4 | |
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Adaptation | 67 | |
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History | 57.6 | |
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Color Analysis
Face analysis
Amazon

AWS Rekognition
Age | 19-36 |
Gender | Male, 50.3% |
Disgusted | 49.6% |
Happy | 49.6% |
Confused | 49.6% |
Sad | 49.7% |
Angry | 49.9% |
Surprised | 49.6% |
Calm | 49.6% |

AWS Rekognition
Age | 4-7 |
Gender | Female, 50.4% |
Happy | 49.5% |
Disgusted | 49.5% |
Sad | 49.6% |
Confused | 49.6% |
Angry | 49.5% |
Surprised | 49.5% |
Calm | 50.2% |

AWS Rekognition
Age | 23-38 |
Gender | Male, 50.3% |
Calm | 49.9% |
Angry | 49.6% |
Confused | 49.6% |
Sad | 49.9% |
Happy | 49.6% |
Disgusted | 49.5% |
Surprised | 49.5% |

AWS Rekognition
Age | 19-36 |
Gender | Male, 50.4% |
Confused | 49.6% |
Surprised | 49.6% |
Calm | 49.9% |
Angry | 49.7% |
Disgusted | 49.5% |
Happy | 49.6% |
Sad | 49.7% |

AWS Rekognition
Age | 16-27 |
Gender | Male, 50.4% |
Angry | 49.6% |
Disgusted | 50% |
Sad | 49.6% |
Confused | 49.7% |
Happy | 49.5% |
Surprised | 49.5% |
Calm | 49.6% |
Feature analysis
Categories
Imagga
paintings art | 58.9% | |
| ||
interior objects | 22.1% | |
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streetview architecture | 8.9% | |
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text visuals | 5.8% | |
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food drinks | 2.6% | |
|
Captions
Microsoft
created on 2019-06-04
a group of people standing in front of a store | 26.8% | |
| ||
a group of people in front of a store | 25.1% | |
|
Text analysis
Amazon

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