Human Generated Data

Title

Christ Blessing Little Children

Date

16th century

People

Artist: Georg Pencz, German 1500 - 1550

Classification

Prints

Human Generated Data

Title

Christ Blessing Little Children

People

Artist: Georg Pencz, German 1500 - 1550

Date

16th century

Classification

Prints

Machine Generated Data

Tags

Amazon

Person 99
Human 99
Person 98.8
Person 97
Person 96.2
Art 94.9
Painting 94.8
Person 93.4
Person 78.5
Drawing 63.3
Person 58

Clarifai

people 100
art 99.7
print 99.7
illustration 99.7
group 99.5
adult 99.2
man 99.1
engraving 99.1
painting 97.3
leader 97
religion 96.2
veil 95.7
woodcut 95.3
woman 94.4
two 94
kneeling 93.2
gown (clothing) 93.2
royalty 92.7
administration 91.6
three 90.9

Imagga

sketch 93.8
drawing 74.3
representation 58.2
currency 27
art 26.4
vintage 25.7
money 25.6
paper 25.1
finance 22
cash 22
retro 21.3
tile 20.5
dollar 20.5
financial 19.6
bank 18.8
old 18.1
antique 18
ancient 17.3
grunge 17.1
banking 15.7
decoration 15.5
business 14.6
pattern 14.4
history 14.3
design 14.3
savings 14
rich 14
economy 13.9
bill 13.3
note 12.9
wealth 12.6
dollars 12.6
close 12.6
map 12.5
stamp 12.2
mosaic 11.7
exchange 11.5
graffito 11.3
texture 11.1
investment 11
decorative 10.9
us 10.6
travel 10.6
atlas 10.3
collection 9.9
religion 9.9
postmark 9.9
bills 9.7
banknote 9.7
pay 9.6
mail 9.6
capital 9.5
grungy 9.5
letter 9.2
frame 9.2
traditional 9.2
black 9
postage 8.9
postal 8.8
symbol 8.8
loan 8.6
silhouette 8.3
one 8.2
global 8.2
painting 8.1
funds 7.9
banknotes 7.8
color 7.8
geography 7.7
profit 7.7
envelope 7.5
man 7.4
ornate 7.3
border 7.2

Google

Art 89.8
Illustration 79
History 64.5
Prophet 51
Painting 50.4
Mythology 50.3

Microsoft

text 99.9
book 99.6
drawing 99.2
sketch 98.8
person 87.7
cartoon 86.9
illustration 86.3
clothing 76.6
engraving 58.6

Face analysis

Amazon

AWS Rekognition

Age 49-69
Gender Female, 93.8%
Happy 14.6%
Confused 2.8%
Disgusted 8.7%
Sad 53.4%
Calm 4%
Surprised 3.9%
Angry 12.4%

AWS Rekognition

Age 23-38
Gender Male, 52%
Confused 45.1%
Sad 54.1%
Angry 45.2%
Calm 45.3%
Happy 45.1%
Surprised 45.1%
Disgusted 45.1%

AWS Rekognition

Age 45-63
Gender Male, 52.9%
Happy 45.3%
Confused 45.1%
Disgusted 52.8%
Calm 45.5%
Surprised 45.1%
Angry 45.9%
Sad 45.3%

AWS Rekognition

Age 45-63
Gender Male, 54.8%
Sad 49.7%
Surprised 45.1%
Disgusted 45%
Calm 49.1%
Angry 45.7%
Confused 45.2%
Happy 45%

AWS Rekognition

Age 15-25
Gender Male, 54.9%
Confused 45.2%
Surprised 45.1%
Disgusted 45.1%
Sad 48.1%
Happy 45%
Calm 51%
Angry 45.4%

AWS Rekognition

Age 49-69
Gender Male, 50.4%
Happy 45.1%
Angry 45.1%
Surprised 45.1%
Sad 47.4%
Disgusted 45%
Calm 52.1%
Confused 45.1%

AWS Rekognition

Age 23-38
Gender Male, 54.8%
Surprised 46%
Calm 45.7%
Disgusted 50.6%
Happy 45.2%
Confused 45.5%
Angry 46.6%
Sad 45.3%

Feature analysis

Amazon

Person 99%
Painting 94.8%

Captions

Microsoft

a close up of a book 49.5%
close up of a book 44.7%
a hand holding a book 44.6%