Human Generated Data

Title

Adoration of the Magi

Date

1513

People

Artist: Lucas van Leyden, Netherlandish 1494 - 1533

Classification

Prints

Credit Line

Harvard Art Museums/Fogg Museum, Gift of Belinda L. Randall from the collection of John Witt Randall, R959

Human Generated Data

Title

Adoration of the Magi

People

Artist: Lucas van Leyden, Netherlandish 1494 - 1533

Date

1513

Classification

Prints

Machine Generated Data

Tags

Amazon
created on 2019-10-30

Human 99.3
Person 99.3
Painting 98.9
Art 98.9
Person 98.8
Person 98.6
Person 95.7
Person 92.8
Person 87.4
Person 77.6
Person 58.2
Person 49.1

Clarifai
created on 2019-10-30

people 100
group 99.8
art 99.6
adult 99.2
many 99.2
print 98.3
leader 97.7
man 97.4
illustration 95
administration 94
woman 93.8
gown (clothing) 92.9
wear 92.7
engraving 92.5
facial hair 90.7
royalty 89.7
monarch 89
Apostle 88.2
religion 87.4
several 87.4

Imagga
created on 2019-10-30

sketch 54.5
drawing 42.3
sculpture 41
statue 37.9
art 36.1
representation 33.8
religion 29.6
decoration 26.6
graffito 25.3
ancient 25.1
history 25
church 22.2
architecture 22.1
old 20.9
comic book 20.3
god 20.1
monument 19.6
culture 17.1
stone 17
antique 17
carving 16.9
religious 16.9
spirituality 16.3
marble 15.8
temple 15.4
detail 14.5
museum 14
historic 13.7
historical 13.2
catholic 12.6
holy 12.5
saint 12.5
tourism 12.4
famous 12.1
vintage 11.6
faith 11.5
symbol 11.4
figure 11
landmark 10.8
city 10.8
memorial 10.6
travel 10.6
building 10.4
golden 10.3
column 9.9
capital 9.5
destination 9.4
dollar 9.3
design 9.2
currency 9
bible 8.8
cathedral 8.8
artistic 8.7
spiritual 8.6
mosaic 8.5
money 8.5
tile 8.4
decorative 8.3
print media 8.1
facade 8.1
roman 7.9
figurine 7.9
century 7.8
angel 7.8
face 7.8
pray 7.7
finance 7.6
brass 7.5
man 7.5
one 7.5
gold 7.4
daily 7.4
cash 7.3
tourist 7.2
financial 7.1

Google
created on 2019-10-30

Microsoft
created on 2019-10-30

text 99.9
book 99.3
old 96.4
drawing 96.2
sketch 92.4
group 91.1
clothing 90.8
outdoor 89.6
person 88
posing 82.7
painting 78.3
black 77.7
white 74.9
cartoon 71.4
team 49.8
vintage 33.3
clothes 26.8

Face analysis

Amazon

Microsoft

AWS Rekognition

Age 23-35
Gender Female, 51.7%
Disgusted 45%
Fear 45%
Happy 45%
Calm 45.1%
Angry 45%
Sad 54.8%
Confused 45%
Surprised 45%

AWS Rekognition

Age 36-52
Gender Male, 54.5%
Fear 45.2%
Happy 45.1%
Surprised 45.1%
Disgusted 48%
Calm 47.1%
Sad 45.7%
Angry 48.7%
Confused 45.1%

AWS Rekognition

Age 28-44
Gender Male, 54.9%
Sad 45.1%
Surprised 45%
Happy 45%
Confused 45%
Fear 45%
Disgusted 45.1%
Calm 50.6%
Angry 49.1%

AWS Rekognition

Age 23-35
Gender Male, 53.9%
Disgusted 45.1%
Sad 45.1%
Fear 48.4%
Surprised 45.1%
Happy 45.1%
Calm 45.1%
Confused 45%
Angry 51%

AWS Rekognition

Age 40-58
Gender Male, 54.7%
Surprised 45.3%
Disgusted 45%
Sad 45.6%
Fear 45.1%
Happy 45.4%
Calm 53.6%
Angry 45%
Confused 45%

AWS Rekognition

Age 49-67
Gender Male, 54.2%
Calm 53.5%
Disgusted 45%
Angry 45%
Surprised 45.1%
Happy 46%
Fear 45.1%
Sad 45.2%
Confused 45%

AWS Rekognition

Age 40-58
Gender Male, 53.1%
Happy 45%
Fear 45%
Angry 45%
Surprised 45%
Disgusted 45%
Sad 54.7%
Confused 45%
Calm 45.2%

AWS Rekognition

Age 33-49
Gender Male, 54.2%
Sad 47%
Confused 45.5%
Surprised 45.5%
Fear 45.2%
Calm 49.9%
Angry 46.3%
Happy 45.2%
Disgusted 45.5%

AWS Rekognition

Age 49-67
Gender Male, 54.7%
Disgusted 45%
Surprised 45%
Happy 45%
Confused 45%
Calm 54.4%
Angry 45.1%
Fear 45.4%
Sad 45.1%

AWS Rekognition

Age 30-46
Gender Male, 53%
Angry 45%
Surprised 45.1%
Calm 54.4%
Happy 45.4%
Fear 45%
Disgusted 45%
Sad 45.1%
Confused 45%

AWS Rekognition

Age 22-34
Gender Male, 52.2%
Fear 45%
Happy 45%
Surprised 45%
Angry 45.1%
Confused 45%
Disgusted 45.1%
Calm 54.5%
Sad 45.2%

AWS Rekognition

Age 21-33
Gender Male, 53.7%
Disgusted 45%
Confused 45%
Calm 45.7%
Happy 45%
Angry 45.2%
Fear 45.3%
Sad 53.8%
Surprised 45%

AWS Rekognition

Age 22-34
Gender Male, 51.9%
Confused 45%
Calm 54.8%
Disgusted 45%
Fear 45%
Happy 45%
Angry 45%
Sad 45.1%
Surprised 45%

AWS Rekognition

Age 60-76
Gender Male, 54.1%
Disgusted 45%
Fear 45%
Angry 45%
Sad 45.3%
Happy 45%
Surprised 45%
Confused 45%
Calm 54.7%

AWS Rekognition

Age 26-42
Gender Male, 50.6%
Disgusted 45.3%
Calm 46.8%
Angry 46.5%
Happy 49.8%
Fear 45.2%
Surprised 45.1%
Sad 46.3%
Confused 45.1%

AWS Rekognition

Age 27-43
Gender Male, 50.1%
Angry 49.5%
Disgusted 49.5%
Happy 49.5%
Fear 49.5%
Calm 49.5%
Confused 49.5%
Surprised 49.5%
Sad 50.5%

AWS Rekognition

Age 29-45
Gender Male, 51.1%
Fear 45%
Sad 45%
Happy 45.2%
Disgusted 45.2%
Surprised 48.7%
Calm 47.3%
Angry 48.5%
Confused 45%

Microsoft Cognitive Services

Age 60
Gender Male

Microsoft Cognitive Services

Age 30
Gender Male

Microsoft Cognitive Services

Age 57
Gender Male

Feature analysis

Amazon

Person 99.3%
Painting 98.9%

Captions

Microsoft

a vintage photo of a group of people posing for the camera 91.1%
a vintage photo of a group of people posing for a picture 91%
a group of people posing for a photo 90.9%

Text analysis

Amazon

11'3