Human Generated Data

Title

The Queen of Sheba Before Solomon

Date

1621

People

Artist: Nicolaes de Bruyn, Flemish 1571 - 1656

Classification

Prints

Human Generated Data

Title

The Queen of Sheba Before Solomon

People

Artist: Nicolaes de Bruyn, Flemish 1571 - 1656

Date

1621

Classification

Prints

Machine Generated Data

Tags

Amazon

Painting 99.5
Art 99.5
Person 99.1
Human 99.1
Person 98.2
Person 95.9
Person 95
Person 94.8
Person 94.1
Person 91.1
Person 85.2
Person 84.8
Person 83.4
Person 82.6
Person 81.9
Person 81.1
Person 81
Person 78.4
Person 76.7
Person 76.3
Person 75.2
Person 72.9
Person 70.2
Person 68.5
Person 64.1
Person 62.6
Person 61.6
Person 60.5
People 58.6
Drawing 58.3
Person 53.6
Person 45.4

Clarifai

people 100
group 99.9
many 99.7
adult 98.9
print 98.8
leader 98.7
art 98.1
administration 97.1
man 97
engraving 95.8
woman 94.1
illustration 92.9
wear 90.5
crowd 88.9
child 85.8
seat 85.3
gown (clothing) 84.8
soldier 82.3
several 81.2
furniture 79.7

Imagga

sketch 100
drawing 85.7
representation 65.2
art 33.6
ancient 29.4
graffito 28.3
history 27.7
decoration 26.7
old 25.8
sculpture 24.1
architecture 23.9
vintage 22.3
antique 18.4
building 17.7
paper 17.3
landmark 17.2
culture 17.1
statue 17
famous 15.8
stone 15.5
structure 15.4
money 15.3
wall 15
temple 14.5
grunge 14.5
currency 14.4
travel 14.1
monument 14
column 13.9
carving 13.7
memorial 12.9
historic 12.8
finance 12.7
texture 12.5
god 12.4
retro 12.3
historical 12.2
artistic 12.2
cash 11.9
city 11.6
dollar 11.1
design 10.7
financial 10.7
detail 10.5
brass 10.3
tourism 9.9
religion 9.9
bank 9.9
business 9.7
style 9.6
bill 9.5
banking 9.2
note 9.2
marble 9
wealth 9
rich 8.4
figure 8.4
decorative 8.4
economy 8.3
traditional 8.3
exterior 8.3
facade 8.3
pattern 8.2
aged 8.1
painting 8.1
fountain 8
tile 7.8
carved 7.8
black 7.8
baroque 7.8
nobody 7.8
us 7.7
symbol 7.4
church 7.4
letter 7.3
ornate 7.3

Microsoft

old 96.2
text 95.7
posing 93.7
person 85.5
group 85.1
white 62.3
team 30.4

Face analysis

Amazon

AWS Rekognition

Age 26-43
Gender Male, 50.8%
Confused 45.3%
Sad 49.1%
Calm 47.6%
Happy 45.4%
Surprised 45.2%
Angry 47.2%
Disgusted 45.2%

AWS Rekognition

Age 60-90
Gender Male, 54.3%
Happy 45%
Calm 54.6%
Surprised 45.1%
Angry 45.1%
Confused 45.1%
Disgusted 45%
Sad 45.1%

AWS Rekognition

Age 23-38
Gender Female, 52.9%
Sad 51%
Angry 45.6%
Happy 45.2%
Calm 46.9%
Surprised 45.4%
Disgusted 45.4%
Confused 45.7%

AWS Rekognition

Age 26-43
Gender Male, 54.3%
Calm 54.6%
Surprised 45.1%
Happy 45%
Sad 45.1%
Disgusted 45.1%
Confused 45.1%
Angry 45.1%

AWS Rekognition

Age 45-63
Gender Male, 54.9%
Sad 46.7%
Surprised 45.6%
Confused 46%
Happy 45.8%
Calm 49.8%
Disgusted 45.4%
Angry 45.8%

AWS Rekognition

Age 23-38
Gender Female, 54.6%
Disgusted 45.6%
Surprised 45.2%
Angry 45.7%
Sad 47.1%
Confused 45.2%
Happy 45.2%
Calm 51.1%

AWS Rekognition

Age 26-43
Gender Female, 54.9%
Happy 45.9%
Disgusted 48.4%
Calm 45.3%
Surprised 45.4%
Angry 46%
Sad 48.7%
Confused 45.2%

AWS Rekognition

Age 26-43
Gender Female, 51.7%
Sad 45.2%
Surprised 45%
Confused 45.1%
Happy 45%
Calm 54.6%
Disgusted 45%
Angry 45.1%

AWS Rekognition

Age 23-38
Gender Male, 52.5%
Calm 49.2%
Disgusted 45.5%
Angry 45.7%
Surprised 45.8%
Confused 46%
Sad 46.2%
Happy 46.5%

AWS Rekognition

Age 20-38
Gender Female, 52.9%
Disgusted 45.2%
Surprised 45.7%
Sad 49.9%
Calm 47.1%
Angry 46.1%
Happy 45.3%
Confused 45.8%

AWS Rekognition

Age 38-59
Gender Male, 50.4%
Confused 45.6%
Calm 47.7%
Angry 45.6%
Sad 49.9%
Surprised 45.6%
Disgusted 45.3%
Happy 45.4%

AWS Rekognition

Age 23-38
Gender Male, 54%
Disgusted 45.6%
Confused 45.5%
Angry 45.7%
Surprised 45.7%
Calm 49.6%
Happy 46.9%
Sad 45.9%

AWS Rekognition

Age 20-38
Gender Female, 54.4%
Angry 45.6%
Sad 48.8%
Happy 45.4%
Surprised 45.6%
Confused 45.6%
Disgusted 45.3%
Calm 48.7%

AWS Rekognition

Age 26-44
Gender Male, 54.4%
Angry 45.1%
Sad 45.5%
Calm 54.3%
Disgusted 45%
Happy 45%
Surprised 45%
Confused 45%

AWS Rekognition

Age 23-38
Gender Female, 51%
Surprised 45.1%
Disgusted 45.1%
Calm 54%
Confused 45.2%
Angry 45.1%
Happy 45.1%
Sad 45.3%

AWS Rekognition

Age 35-52
Gender Male, 54.8%
Disgusted 45.2%
Sad 50%
Calm 48.2%
Surprised 45.2%
Happy 45.1%
Confused 45.5%
Angry 45.7%

AWS Rekognition

Age 15-25
Gender Female, 54%
Angry 47.8%
Surprised 46.7%
Happy 46%
Sad 46.5%
Calm 47.1%
Disgusted 45.4%
Confused 45.6%

AWS Rekognition

Age 17-27
Gender Female, 50.2%
Surprised 49.6%
Disgusted 49.6%
Confused 49.6%
Sad 49.8%
Angry 49.6%
Happy 49.6%
Calm 49.8%

AWS Rekognition

Age 26-43
Gender Male, 50.7%
Sad 50.3%
Calm 46%
Confused 45.4%
Disgusted 45.3%
Surprised 45.4%
Happy 46.5%
Angry 46%

AWS Rekognition

Age 35-52
Gender Male, 53.8%
Happy 45%
Disgusted 45.1%
Confused 45.2%
Calm 51%
Sad 47.6%
Angry 45.7%
Surprised 45.2%

AWS Rekognition

Age 45-66
Gender Male, 54.6%
Surprised 46%
Disgusted 45.4%
Calm 50.3%
Confused 45.9%
Angry 45.7%
Happy 45.6%
Sad 46.2%

AWS Rekognition

Age 57-77
Gender Male, 54.3%
Disgusted 45.1%
Happy 45.2%
Angry 45.6%
Surprised 45.2%
Sad 51.6%
Calm 46.9%
Confused 45.3%

AWS Rekognition

Age 35-52
Gender Male, 50.2%
Confused 49.5%
Sad 49.6%
Calm 50.2%
Disgusted 49.6%
Happy 49.5%
Surprised 49.5%
Angry 49.5%

AWS Rekognition

Age 45-63
Gender Male, 53.5%
Confused 45.7%
Angry 45.8%
Surprised 45.8%
Calm 48.3%
Happy 45.4%
Disgusted 45.5%
Sad 48.5%

AWS Rekognition

Age 11-18
Gender Female, 53.2%
Disgusted 45.2%
Happy 45.1%
Surprised 45.5%
Sad 46.8%
Calm 51.6%
Angry 45.4%
Confused 45.4%

AWS Rekognition

Age 20-38
Gender Female, 50.3%
Sad 49.7%
Confused 49.5%
Happy 49.5%
Disgusted 49.5%
Angry 49.5%
Surprised 49.5%
Calm 50.2%

AWS Rekognition

Age 20-38
Gender Female, 50.4%
Angry 45.4%
Disgusted 45.4%
Happy 45%
Sad 46.5%
Calm 52.3%
Confused 45.1%
Surprised 45.2%

AWS Rekognition

Age 19-36
Gender Female, 53.6%
Calm 45.6%
Disgusted 46.3%
Angry 46.8%
Happy 45.6%
Confused 46.2%
Surprised 47.4%
Sad 47%

AWS Rekognition

Age 14-25
Gender Female, 50.2%
Disgusted 49.6%
Calm 49.8%
Confused 49.5%
Surprised 49.6%
Sad 49.8%
Happy 49.7%
Angry 49.6%

AWS Rekognition

Age 38-59
Gender Male, 54.2%
Disgusted 45.4%
Calm 48.6%
Confused 45.5%
Surprised 45.2%
Sad 49.6%
Happy 45%
Angry 45.6%

AWS Rekognition

Age 38-59
Gender Female, 54.5%
Disgusted 45.9%
Confused 45.3%
Calm 51.3%
Surprised 45.3%
Angry 45.4%
Sad 46.4%
Happy 45.4%

AWS Rekognition

Age 23-38
Gender Female, 50.2%
Calm 49.6%
Surprised 49.5%
Angry 49.5%
Sad 50.2%
Disgusted 49.5%
Confused 49.5%
Happy 49.6%

AWS Rekognition

Age 26-43
Gender Female, 54.3%
Calm 46.7%
Disgusted 47%
Angry 46.4%
Happy 46.1%
Confused 45.8%
Sad 46.2%
Surprised 46.9%

AWS Rekognition

Age 15-25
Gender Female, 50.1%
Confused 49.6%
Surprised 49.5%
Angry 49.6%
Sad 49.8%
Happy 49.5%
Calm 50%
Disgusted 49.6%

AWS Rekognition

Age 38-57
Gender Female, 50.8%
Sad 49.6%
Angry 45.6%
Disgusted 45.3%
Surprised 45.4%
Calm 48.6%
Happy 45.2%
Confused 45.4%

AWS Rekognition

Age 26-43
Gender Female, 54.7%
Confused 46%
Sad 46.3%
Calm 45.9%
Happy 46.1%
Surprised 49.4%
Angry 45.9%
Disgusted 45.5%

AWS Rekognition

Age 38-57
Gender Female, 53%
Confused 45.7%
Sad 48.9%
Calm 46.4%
Happy 45.4%
Surprised 45.8%
Angry 46%
Disgusted 46.7%

AWS Rekognition

Age 48-68
Gender Male, 50.1%
Disgusted 49.8%
Surprised 49.5%
Angry 49.5%
Sad 49.5%
Confused 49.6%
Happy 49.5%
Calm 50%

AWS Rekognition

Age 38-59
Gender Male, 52.7%
Angry 47.1%
Sad 47%
Calm 49.7%
Disgusted 45.4%
Happy 45.2%
Surprised 45.3%
Confused 45.2%

AWS Rekognition

Age 57-77
Gender Male, 52.5%
Calm 52.6%
Angry 45.4%
Happy 45.3%
Disgusted 45.9%
Sad 45.3%
Surprised 45.3%
Confused 45.2%

AWS Rekognition

Age 26-43
Gender Female, 54.7%
Angry 50%
Confused 45.5%
Disgusted 45.8%
Surprised 45.9%
Sad 46.7%
Calm 45.4%
Happy 45.6%

Feature analysis

Amazon

Painting 99.5%
Person 99.1%

Captions

Microsoft

a vintage photo of a group of people posing for the camera 91.4%
a vintage photo of a group of people posing for a picture 91.3%
a group of people posing for a photo 91.2%