Machine Generated Data
Tags
Amazon
created on 2019-06-05
Person | 99.4 | |
| ||
Human | 99.4 | |
| ||
Person | 98.9 | |
| ||
Person | 97.6 | |
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Person | 96.1 | |
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Person | 94.7 | |
| ||
Person | 94.7 | |
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Room | 94.2 | |
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Indoors | 94.2 | |
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Person | 93.3 | |
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Person | 90.1 | |
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Person | 87.6 | |
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Furniture | 86.3 | |
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Person | 83 | |
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People | 82 | |
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Table | 76.4 | |
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Painting | 72.5 | |
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Art | 72.5 | |
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Dining Room | 65.7 | |
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Person | 62.2 | |
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Dining Table | 61 | |
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Home Decor | 59.4 | |
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Meal | 56.5 | |
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Food | 56.5 | |
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Workshop | 55.9 | |
|
Clarifai
created on 2019-06-05
Imagga
created on 2019-06-05
Google
created on 2019-06-05
Photograph | 95.5 | |
| ||
Table | 89.7 | |
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Room | 87.5 | |
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Snapshot | 83.3 | |
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Furniture | 77.7 | |
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Games | 72.9 | |
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Dining room | 68 | |
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Photography | 62.4 | |
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Indoor games and sports | 59.2 | |
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Interior design | 59.1 | |
|
Color Analysis
Face analysis
Amazon

AWS Rekognition
Age | 17-27 |
Gender | Female, 55% |
Disgusted | 45% |
Confused | 45.1% |
Calm | 45.6% |
Angry | 45.1% |
Happy | 53.5% |
Sad | 45.7% |
Surprised | 45.1% |

AWS Rekognition
Age | 15-25 |
Gender | Female, 52% |
Disgusted | 45.1% |
Happy | 45.1% |
Angry | 48.4% |
Surprised | 45.1% |
Sad | 46.9% |
Confused | 45.4% |
Calm | 49% |

AWS Rekognition
Age | 11-18 |
Gender | Female, 51.7% |
Calm | 45.4% |
Disgusted | 45% |
Sad | 45.2% |
Happy | 45% |
Confused | 45.2% |
Surprised | 45% |
Angry | 54.1% |

AWS Rekognition
Age | 20-38 |
Gender | Female, 50.2% |
Calm | 51.2% |
Sad | 45.8% |
Angry | 47.3% |
Surprised | 45.2% |
Disgusted | 45% |
Confused | 45.3% |
Happy | 45.3% |

AWS Rekognition
Age | 11-18 |
Gender | Female, 54.1% |
Confused | 45% |
Disgusted | 45% |
Surprised | 45% |
Sad | 54.8% |
Angry | 45.2% |
Happy | 45% |
Calm | 45% |

AWS Rekognition
Age | 14-25 |
Gender | Female, 51.8% |
Calm | 48.3% |
Disgusted | 45.1% |
Confused | 45.4% |
Happy | 45.6% |
Angry | 48.1% |
Sad | 46.2% |
Surprised | 46.2% |

AWS Rekognition
Age | 14-23 |
Gender | Male, 52% |
Disgusted | 45% |
Sad | 52.9% |
Calm | 45.9% |
Surprised | 45.1% |
Angry | 45.3% |
Happy | 45.6% |
Confused | 45.2% |

AWS Rekognition
Age | 14-25 |
Gender | Female, 55% |
Calm | 45.6% |
Happy | 46% |
Sad | 52.4% |
Angry | 45.4% |
Confused | 45.1% |
Disgusted | 45.2% |
Surprised | 45.1% |

AWS Rekognition
Age | 14-25 |
Gender | Female, 54.9% |
Confused | 45.7% |
Happy | 45.4% |
Sad | 46.2% |
Disgusted | 45.2% |
Angry | 46.1% |
Calm | 51% |
Surprised | 45.4% |

AWS Rekognition
Age | 14-25 |
Gender | Male, 53.2% |
Disgusted | 45.1% |
Confused | 45.1% |
Calm | 50.6% |
Surprised | 45.1% |
Happy | 45.7% |
Sad | 48.1% |
Angry | 45.3% |
Feature analysis
Categories
Imagga
interior objects | 99.7% | |
|
Captions
Microsoft
created on 2019-06-05
a group of people sitting at a table in front of a window | 61.1% | |
| ||
a group of people sitting at a table in a room | 61% | |
| ||
a group of people in a room | 60.9% | |
|
Text analysis
Amazon

The

ing

"big

each

welfare

sisters"

"little

to

discuss

The "big sisters" in each ttage assemble in

ttage

their

of

ing to discuss plans for the welfare their regular meet-

plans

in

the

assemble

meet-

regular

of "little siscers."

for

siscers."

OLSO
WYOA
The "big sisters" in each co ttage assemble in regular meet-
ing to discuss plans for the welfare of their "little siscers."

OLSO

WYOA

The

"big

sisters"

in

each

co

ttage

assemble

regular

meet-

ing

to

discuss

plans

for

the

welfare

of

their

"little

siscers."