Machine Generated Data
Tags
Amazon
created on 2019-06-06
Clarifai
created on 2019-06-06
people | 99.7 | |
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group | 97.7 | |
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indoors | 96.9 | |
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room | 96.8 | |
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furniture | 96.5 | |
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train | 95.9 | |
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no person | 95.7 | |
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group together | 95.5 | |
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many | 94.8 | |
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transportation system | 94 | |
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adult | 92.6 | |
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railway | 92.6 | |
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vehicle | 87 | |
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home | 86.7 | |
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grinder | 85.9 | |
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seat | 85.7 | |
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war | 81 | |
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man | 81 | |
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monochrome | 80.6 | |
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watercraft | 78.4 | |
|
Imagga
created on 2019-06-06
dairy | 44.7 | |
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building | 26.8 | |
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interior | 26.5 | |
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modern | 24.5 | |
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urban | 23.6 | |
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structure | 23 | |
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industry | 21.3 | |
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station | 20.3 | |
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architecture | 19.9 | |
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shop | 18.9 | |
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barbershop | 18.5 | |
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industrial | 18.2 | |
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factory | 18.1 | |
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inside | 17.5 | |
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city | 17.5 | |
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window | 17.4 | |
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transportation | 17 | |
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chair | 15.9 | |
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travel | 15.5 | |
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business | 15.2 | |
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floor | 14.9 | |
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construction | 14.5 | |
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steel | 14.2 | |
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hall | 14.2 | |
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train | 14.1 | |
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table | 13.8 | |
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empty | 13.7 | |
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metal | 13.7 | |
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house | 13.4 | |
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mercantile establishment | 12.4 | |
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furniture | 12.1 | |
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room | 12.1 | |
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glass | 11.7 | |
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tube | 11.6 | |
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seat | 11.4 | |
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plant | 10.9 | |
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manufacturing | 10.7 | |
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gate | 10.6 | |
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deck | 10.6 | |
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warehouse | 10.6 | |
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indoors | 10.5 | |
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engineering | 10.5 | |
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wall | 10.3 | |
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airport | 10.2 | |
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equipment | 10.1 | |
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corridor | 9.8 | |
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rail | 9.8 | |
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railway | 9.8 | |
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light | 9.4 | |
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office | 9.2 | |
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indoor | 9.1 | |
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metro | 8.9 | |
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subway | 8.9 | |
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work | 8.9 | |
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scene | 8.7 | |
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heavy | 8.6 | |
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place of business | 8.5 | |
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perspective | 8.5 | |
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power | 8.4 | |
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place | 8.4 | |
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machine | 8.4 | |
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transport | 8.2 | |
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technology | 8.2 | |
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reflection | 8.1 | |
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home | 8 | |
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ceiling | 7.9 | |
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production | 7.8 | |
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lamp | 7.6 | |
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roof | 7.6 | |
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estate | 7.6 | |
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area | 7.5 | |
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heat | 7.4 | |
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people | 7.3 | |
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wagon | 7.2 | |
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decor | 7.1 | |
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restaurant | 7 | |
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sky | 7 | |
|
Google
created on 2019-06-06
Snapshot | 84.1 | |
| ||
Room | 83.5 | |
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Interior design | 70 | |
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Building | 68.6 | |
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Furniture | 68.2 | |
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History | 64.5 | |
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Vintage clothing | 62.5 | |
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Table | 58.6 | |
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Classic | 56.7 | |
|
Color Analysis
Face analysis
Amazon

AWS Rekognition
Age | 11-18 |
Gender | Female, 50.2% |
Sad | 50% |
Happy | 49.5% |
Surprised | 49.5% |
Disgusted | 49.6% |
Confused | 49.6% |
Calm | 49.7% |
Angry | 49.6% |

AWS Rekognition
Age | 45-65 |
Gender | Female, 50.3% |
Surprised | 49.5% |
Disgusted | 49.5% |
Angry | 50% |
Sad | 49.7% |
Happy | 49.5% |
Confused | 49.5% |
Calm | 49.7% |

AWS Rekognition
Age | 26-43 |
Gender | Female, 50.1% |
Sad | 49.7% |
Confused | 49.6% |
Surprised | 49.6% |
Happy | 49.7% |
Angry | 49.6% |
Disgusted | 49.6% |
Calm | 49.7% |

AWS Rekognition
Age | 23-38 |
Gender | Male, 50.4% |
Disgusted | 49.5% |
Calm | 49.7% |
Confused | 49.6% |
Happy | 49.5% |
Surprised | 49.6% |
Angry | 49.7% |
Sad | 49.9% |
Feature analysis
Categories
Imagga
streetview architecture | 76.5% | |
| ||
interior objects | 21.5% | |
|
Captions
Microsoft
created on 2019-06-06
a room filled with furniture and a large building | 76.3% | |
| ||
a room filled with furniture in front of a building | 76.2% | |
| ||
a room filled with furniture next to a building | 76.1% | |
|
Text analysis
Amazon

KITCHEN INADMINISTRLATION BUILDING

KITCHEN INADMINISTRLATION BUILDING N ADMINISTRLATION

856

N ADMINISTRLATION

KITCHEN IN ADMINISTRATION BUILDING

KITCHEN

IN

ADMINISTRATION

BUILDING