Machine Generated Data
Tags
Amazon
created on 2019-06-04
School | 99.8 | |
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Classroom | 99.6 | |
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Indoors | 99.6 | |
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Room | 99.6 | |
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Chair | 98.8 | |
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Furniture | 98.8 | |
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Chair | 98 | |
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Person | 95.1 | |
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Human | 95.1 | |
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Person | 94.6 | |
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Person | 91.9 | |
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Person | 91.6 | |
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Person | 90.5 | |
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Person | 85.7 | |
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Person | 85.3 | |
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Chair | 81.2 | |
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Chair | 78.1 | |
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Restaurant | 73.5 | |
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Cafeteria | 73.5 | |
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Person | 72.7 | |
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Bird | 67.3 | |
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Animal | 67.3 | |
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Person | 65.6 | |
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Lab | 58.9 | |
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Chair | 57.7 | |
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Person | 50.2 | |
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Clarifai
created on 2019-06-04
Imagga
created on 2019-06-04
room | 63.3 | |
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classroom | 44 | |
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chair | 42.4 | |
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interior | 40.7 | |
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table | 38.5 | |
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restaurant | 34.6 | |
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furniture | 29 | |
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house | 27.6 | |
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building | 24.6 | |
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modern | 23.8 | |
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chairs | 22.5 | |
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wood | 20.8 | |
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inside | 20.2 | |
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home | 19.9 | |
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floor | 19.5 | |
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empty | 18.9 | |
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architecture | 18.9 | |
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structure | 18.6 | |
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hall | 17.5 | |
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design | 17.4 | |
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seat | 15.7 | |
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window | 14.8 | |
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light | 14.7 | |
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dining | 14.3 | |
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glass | 14 | |
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kitchen | 13.9 | |
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tables | 13.8 | |
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style | 13.3 | |
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city | 13.3 | |
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cafeteria | 13.2 | |
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contemporary | 12.2 | |
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decor | 11.5 | |
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urban | 11.4 | |
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plant | 11.2 | |
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luxury | 11.1 | |
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business | 10.9 | |
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office | 10.8 | |
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comfortable | 10.5 | |
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dinner | 10.1 | |
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indoor | 10 | |
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stool | 9.9 | |
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stove | 9.9 | |
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wall | 9.7 | |
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indoors | 9.7 | |
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decoration | 9.5 | |
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food | 9.2 | |
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travel | 9.1 | |
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work | 9 | |
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counter | 8.8 | |
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apartment | 8.6 | |
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residential | 8.6 | |
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lamp | 8.6 | |
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place | 8.4 | |
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sky | 8.3 | |
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oven | 8 | |
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steel | 8 | |
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refrigerator | 7.9 | |
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scene | 7.8 | |
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nobody | 7.8 | |
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lunch | 7.7 | |
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tile | 7.6 | |
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drink | 7.5 | |
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tourism | 7.4 | |
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cook | 7.3 | |
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sun | 7.2 | |
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black | 7.2 | |
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equipment | 7.2 | |
|
Google
created on 2019-06-04
Room | 92.6 | |
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Classroom | 85.1 | |
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Class | 73.5 | |
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Furniture | 73.3 | |
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Building | 71 | |
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Table | 69.7 | |
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Cafeteria | 60.2 | |
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Dining room | 55.1 | |
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History | 54.1 | |
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State school | 52 | |
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Color Analysis
Face analysis
Amazon

AWS Rekognition
Age | 38-57 |
Gender | Female, 50.4% |
Confused | 45.7% |
Sad | 47.9% |
Surprised | 45.2% |
Happy | 45.5% |
Angry | 45.7% |
Disgusted | 45.5% |
Calm | 49.4% |

AWS Rekognition
Age | 38-59 |
Gender | Female, 50.3% |
Confused | 49.5% |
Sad | 49.9% |
Disgusted | 49.6% |
Surprised | 49.5% |
Angry | 49.6% |
Happy | 49.7% |
Calm | 49.7% |

AWS Rekognition
Age | 16-27 |
Gender | Female, 53.6% |
Surprised | 45.3% |
Confused | 45.5% |
Disgusted | 46% |
Sad | 50.5% |
Happy | 45.1% |
Calm | 45.3% |
Angry | 47.4% |

AWS Rekognition
Age | 23-38 |
Gender | Male, 53.7% |
Sad | 47.6% |
Confused | 45.9% |
Disgusted | 45.7% |
Happy | 45.5% |
Angry | 47.3% |
Calm | 47.3% |
Surprised | 45.7% |

AWS Rekognition
Age | 20-38 |
Gender | Female, 50.2% |
Disgusted | 49.6% |
Happy | 49.5% |
Sad | 49.5% |
Angry | 49.5% |
Calm | 50.3% |
Confused | 49.5% |
Surprised | 49.5% |

AWS Rekognition
Age | 45-63 |
Gender | Male, 50.5% |
Confused | 50% |
Sad | 49.7% |
Disgusted | 49.5% |
Surprised | 49.5% |
Angry | 49.6% |
Happy | 49.6% |
Calm | 49.7% |

AWS Rekognition
Age | 57-77 |
Gender | Male, 54.7% |
Happy | 45.3% |
Disgusted | 45.2% |
Confused | 45.6% |
Angry | 45.2% |
Surprised | 45.9% |
Sad | 45.1% |
Calm | 52.7% |

AWS Rekognition
Age | 20-38 |
Gender | Female, 50.4% |
Disgusted | 49.9% |
Calm | 49.6% |
Happy | 49.5% |
Angry | 49.5% |
Sad | 49.9% |
Confused | 49.5% |
Surprised | 49.5% |

AWS Rekognition
Age | 26-44 |
Gender | Male, 50.3% |
Sad | 49.7% |
Confused | 49.5% |
Angry | 49.6% |
Surprised | 49.5% |
Disgusted | 50% |
Happy | 49.5% |
Calm | 49.6% |

AWS Rekognition
Age | 26-43 |
Gender | Female, 50.2% |
Disgusted | 49.5% |
Calm | 49.5% |
Happy | 49.5% |
Angry | 50.1% |
Sad | 49.8% |
Confused | 49.5% |
Surprised | 49.5% |

AWS Rekognition
Age | 35-52 |
Gender | Male, 50.4% |
Sad | 49.5% |
Happy | 49.5% |
Angry | 49.6% |
Calm | 50.2% |
Surprised | 49.6% |
Confused | 49.5% |
Disgusted | 49.6% |
Feature analysis
Categories
Imagga
cars vehicles | 77% | |
| ||
interior objects | 7.3% | |
| ||
text visuals | 3.2% | |
| ||
events parties | 2.8% | |
| ||
nature landscape | 2.2% | |
| ||
food drinks | 2.1% | |
| ||
streetview architecture | 2% | |
| ||
pets animals | 1.7% | |
|
Captions
Microsoft
created on 2019-06-04
a vintage photo of a group of people in a room | 89% | |
| ||
a vintage photo of a group of people sitting at a table | 70.3% | |
| ||
a vintage photo of some people in a room | 70.2% | |
|
Text analysis
Amazon

Lesehalle

JENA,

Steinweg.

Hochhausen

JENA, Lesehalle Zeitschriftensaal

Jena,

Zeitschriftensaal

jun.,

Steinweg. Jena, Hochhausen jun., C.

C.

Zeitschriftensaal
JENA, Lesehalle
. Hochhausen jun., Jena,
Steinweg.

Zeitschriftensaal

JENA,

Lesehalle

.

Hochhausen

jun.,

Jena,

Steinweg.