Machine Generated Data
Tags
Amazon
created on 2019-06-06
Furniture | 99.9 | |
| ||
Chair | 99.9 | |
| ||
Chair | 97.8 | |
| ||
Person | 95.6 | |
| ||
Human | 95.6 | |
| ||
Indoors | 95.5 | |
| ||
Room | 95.5 | |
| ||
Restaurant | 94.3 | |
| ||
Person | 92.3 | |
| ||
Person | 89.6 | |
| ||
Person | 89 | |
| ||
Person | 88.5 | |
| ||
Person | 87.6 | |
| ||
Person | 84.6 | |
| ||
Cafeteria | 83.7 | |
| ||
Dining Room | 79.6 | |
| ||
Interior Design | 75 | |
| ||
Table | 73.2 | |
| ||
School | 71.6 | |
| ||
Classroom | 71.6 | |
| ||
Dining Table | 66.8 | |
| ||
Cafe | 66.7 | |
| ||
Chair | 66 | |
| ||
Person | 65.6 | |
| ||
Food | 62.3 | |
| ||
Meal | 61.7 | |
| ||
Food Court | 55.5 | |
|
Clarifai
created on 2019-06-06
Imagga
created on 2019-06-06
Google
created on 2019-06-06
Room | 91.6 | |
| ||
Snapshot | 85.2 | |
| ||
Furniture | 73.3 | |
| ||
Table | 71.7 | |
| ||
Dining room | 65.7 | |
| ||
House | 63.1 | |
| ||
Interior design | 62.5 | |
| ||
Family | 59.5 | |
| ||
Building | 58.4 | |
| ||
History | 57.6 | |
| ||
Vintage clothing | 53.5 | |
| ||
Chair | 52.8 | |
| ||
Art | 50.2 | |
|
Microsoft
created on 2019-06-06
chair | 99.1 | |
| ||
furniture | 99.1 | |
| ||
table | 98.7 | |
| ||
indoor | 86.7 | |
| ||
kitchen & dining room table | 81.6 | |
| ||
old | 65.3 | |
| ||
person | 61.2 | |
| ||
coffee table | 60.2 | |
| ||
clothing | 50.1 | |
| ||
dining table | 8.4 | |
|
Color Analysis
Face analysis
Amazon

AWS Rekognition
Age | 35-53 |
Gender | Male, 52.2% |
Happy | 45.1% |
Disgusted | 45.2% |
Angry | 46.9% |
Confused | 45.5% |
Calm | 45.3% |
Surprised | 45.2% |
Sad | 51.8% |

AWS Rekognition
Age | 27-44 |
Gender | Female, 51.8% |
Sad | 51.1% |
Angry | 45.8% |
Calm | 46.8% |
Confused | 45.3% |
Happy | 45.3% |
Disgusted | 45.4% |
Surprised | 45.3% |

AWS Rekognition
Age | 35-52 |
Gender | Male, 51.4% |
Confused | 45.1% |
Sad | 53.9% |
Disgusted | 45.1% |
Angry | 45.1% |
Happy | 45.1% |
Calm | 45.7% |
Surprised | 45.1% |

AWS Rekognition
Age | 26-43 |
Gender | Female, 54.6% |
Confused | 45.6% |
Sad | 47.4% |
Disgusted | 45.9% |
Angry | 45.6% |
Happy | 46.5% |
Calm | 48.1% |
Surprised | 45.9% |

AWS Rekognition
Age | 26-44 |
Gender | Female, 54.9% |
Confused | 46.6% |
Happy | 45.3% |
Sad | 47% |
Disgusted | 45.4% |
Angry | 46% |
Calm | 46.8% |
Surprised | 47.9% |

AWS Rekognition
Age | 48-68 |
Gender | Female, 52.1% |
Sad | 46.2% |
Disgusted | 52.8% |
Surprised | 45.1% |
Happy | 45.2% |
Confused | 45.3% |
Calm | 45.2% |
Angry | 45.2% |
Feature analysis
Categories
Imagga
interior objects | 97.8% | |
| ||
food drinks | 1% | |
|
Captions
Microsoft
created on 2019-06-06
a group of people in a room | 71.2% | |
| ||
a group of people sitting at a table in a room | 52.3% | |
| ||
a group of people sitting at a table | 36.5% | |
|
Text analysis
Amazon

Seating

Cane Seating

Cane

4

ss 4

ss

Seating
Cane

Seating

Cane