Human Generated Data

Title

Esther before Ahasuerus

Date

1518

People

Artist: Lucas van Leyden, Netherlandish 1494 - 1533

Classification

Prints

Human Generated Data

Title

Esther before Ahasuerus

People

Artist: Lucas van Leyden, Netherlandish 1494 - 1533

Date

1518

Classification

Prints

Machine Generated Data

Tags

Amazon

Painting 98.4
Art 98.4
Human 97.9
Person 97.9
Person 89.6
Person 79.7
Person 74.8
Person 74.6

Clarifai

people 100
art 99.9
group 99.7
engraving 98.3
man 98.1
print 98.1
adult 97.9
religion 97.6
saint 97.5
baroque 95.9
many 95.7
illustration 94.5
royalty 93.5
facial hair 93.2
Renaissance 92.5
administration 92
Apostle 91.9
leader 91.4
painting 90.4
kneeling 89.5

Imagga

mosaic 48.9
art 35.4
antique 32.5
transducer 31.1
texture 29.9
pattern 29.4
old 27.9
grunge 26.4
ancient 26
arabesque 25.3
tile 25.3
paper 23.5
electrical device 23.3
vintage 23.2
sketch 21.9
design 21.1
decoration 19.4
drawing 19.1
traditional 18.3
retro 18
religion 17.9
wall 15.7
device 15.3
frame 15
close 14.3
representation 14.1
money 13.6
temple 13.6
aged 13.6
painting 13.6
currency 13.5
oriental 13.2
history 12.5
artistic 12.2
ornament 12.1
travel 12
textured 11.4
ornamental 11.4
carving 11.3
detail 11.3
east 11.2
style 11.1
culture 11.1
finance 11
ornate 11
dirty 10.9
gold 10.7
worn 10.5
architecture 10.4
church 10.2
banking 10.1
bank 9.9
business 9.7
dollars 9.7
door 9.5
fabric 9.5
dollar 9.3
flower 9.2
cash 9.2
backdrop 9.1
map 9
material 8.9
color 8.9
decor 8.9
parchment 8.6
damaged 8.6
floral 8.5
paint 8.2
border 8.1
backgrounds 8.1
brown 8.1
financial 8
structure 8
bangkok 7.9
black 7.8
motif 7.8
instrumentality 7.8
window 7.8
golden 7.7
middle 7.7
exchange 7.6
grungy 7.6
savings 7.5
element 7.4
page 7.4
shape 7.4

Google

Microsoft

text 100
book 99.6
old 90.5
black 67.8

Face analysis

Amazon

AWS Rekognition

Age 57-77
Gender Male, 89.6%
Sad 67.1%
Calm 24.2%
Surprised 1.1%
Angry 3.8%
Disgusted 0.6%
Happy 0.3%
Confused 3%

AWS Rekognition

Age 57-77
Gender Male, 98.7%
Sad 14.3%
Disgusted 2.3%
Surprised 10.3%
Calm 34.9%
Angry 21.4%
Happy 10.5%
Confused 6.3%

AWS Rekognition

Age 26-43
Gender Female, 91.4%
Happy 0.8%
Confused 2.7%
Angry 1.9%
Disgusted 0.5%
Sad 86.1%
Calm 6.3%
Surprised 1.7%

AWS Rekognition

Age 23-38
Gender Female, 50.9%
Surprised 45.6%
Confused 46%
Calm 49.1%
Sad 48.5%
Happy 45.2%
Disgusted 45.2%
Angry 45.5%

AWS Rekognition

Age 35-52
Gender Male, 96.3%
Sad 28%
Surprised 6.3%
Disgusted 2.6%
Confused 5.8%
Calm 51%
Happy 1.6%
Angry 4.8%

AWS Rekognition

Age 23-38
Gender Female, 50.6%
Angry 46.5%
Surprised 45.3%
Happy 45.4%
Sad 50%
Calm 46.5%
Disgusted 45.8%
Confused 45.5%

AWS Rekognition

Age 48-68
Gender Male, 85.7%
Happy 1.4%
Disgusted 2.1%
Calm 1.7%
Sad 89.5%
Confused 1.4%
Angry 2.9%
Surprised 1%

AWS Rekognition

Age 26-43
Gender Male, 51.4%
Calm 54.1%
Disgusted 45.1%
Angry 45.1%
Happy 45.2%
Confused 45.1%
Sad 45.1%
Surprised 45.3%

AWS Rekognition

Age 35-55
Gender Male, 94.9%
Sad 18.2%
Calm 62.1%
Surprised 3.6%
Angry 5.4%
Disgusted 1.5%
Happy 1.1%
Confused 8.1%

AWS Rekognition

Age 26-43
Gender Female, 97%
Surprised 12.5%
Confused 11.3%
Calm 35.7%
Sad 26.3%
Happy 2.7%
Disgusted 2.8%
Angry 8.7%

AWS Rekognition

Age 26-43
Gender Male, 62.1%
Confused 14.8%
Angry 4.1%
Surprised 28.3%
Calm 44.4%
Happy 1.6%
Disgusted 1.3%
Sad 5.5%

Feature analysis

Amazon

Painting 98.4%
Person 97.9%

Captions

Microsoft

a vintage photo of some people 86.1%
a group of people posing for a photo 78.4%
a vintage photo of a person 78.3%

Text analysis

Amazon

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L 1418
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