Human Generated Data

Title

Much Reduced Study of Distant Effect of Veronese's Picture of "The Family of Darium at the Feet of Alexander," in the National Gallery

Date

1878

People

Artist: Charles Herbert Moore, American 1840 - 1930

Artist after: Paolo Caliari, called Veronese, Italian 1528 - 1588

Classification

Drawings

Credit Line

Harvard Art Museums/Fogg Museum, Transfer from the Fine Arts Department, Harvard University, 1926.33.166

Human Generated Data

Title

Much Reduced Study of Distant Effect of Veronese's Picture of "The Family of Darium at the Feet of Alexander," in the National Gallery

People

Artist: Charles Herbert Moore, American 1840 - 1930

Artist after: Paolo Caliari, called Veronese, Italian 1528 - 1588

Date

1878

Classification

Drawings

Credit Line

Harvard Art Museums/Fogg Museum, Transfer from the Fine Arts Department, Harvard University, 1926.33.166

Machine Generated Data

Tags

Amazon
created on 2020-04-25

Human 99.2
Person 99.2
Person 99.1
Painting 98.7
Art 98.7
Person 96.8
Person 93
Person 89.9
Person 85.8
Person 83
Person 71.3
Person 63.2
Person 50.1

Clarifai
created on 2020-04-25

art 99.6
painting 99.3
saint 99.1
people 99.1
religion 98.9
illustration 97.9
Renaissance 97.8
man 96.9
god 96.6
veil 95.2
group 95.2
Mary 95.1
church 94.9
print 94.6
kneeling 94
aura 92.2
book 91.1
woman 91
Gothic 91
adult 90

Imagga
created on 2020-04-25

art 28.3
comic book 28.1
church 27.7
religion 26
old 24.4
money 22.1
graffito 21.6
book jacket 21
stamp 20.3
postmark 19.7
religious 19.7
decoration 19.7
postage 19.6
cash 19.2
mail 19.1
faith 19.1
newspaper 18.7
postal 18.6
letter 18.3
holy 18.3
saint 18.3
vintage 18.2
currency 17.9
prayer 17.4
dollar 16.7
bible 16.6
jacket 16.4
bank 16.1
envelope 15.9
circa 15.8
banking 15.6
colorful 15
product 15
window 14.5
daily 14.4
god 14.3
antique 13.8
ancient 13.8
philately 13.8
catholic 13.6
dollars 13.5
finance 13.5
cathedral 13.4
creation 13.3
color 13.3
paper 13.3
bill 13.3
close 13.1
detail 12.9
closeup 12.8
wealth 12.6
spiritual 12.5
wrapping 12.4
retro 12.3
business 12.1
pray 11.6
financial 11.6
us 11.6
spirituality 11.5
symbol 11.4
face 11.4
print media 11.2
painter 11.1
glass 10.9
franklin 10.8
stained 10.6
pay 10.5
one 10.4
card 10.2
message 10
gold 9.9
printed 9.8
address 9.8
belief 9.7
interior 9.7
hundred 9.7
exchange 9.5
post 9.5
icon 9.5
culture 9.4
architecture 9.4
mosaic 9.2
covering 9.1
aged 9
history 8.9
stained glass 8.9
post office 8.9
temple 8.8
bills 8.7
man 8.7
worship 8.7
scene 8.7
loan 8.6
savings 8.4
philatelic 7.9
shows 7.9
design 7.8
states 7.7
artist 7.7
payment 7.7
hobby 7.6
historical 7.5
artwork 7.3
global 7.3
paint 7.2
black 7.2
travel 7

Google
created on 2020-04-25

Microsoft
created on 2020-04-25

text 99.7
drawing 94.1
person 92.8
clothing 80.9
cartoon 79.1
museum 52.1
painting 15.4

Color Analysis

Face analysis

Amazon

AWS Rekognition

Age 5-15
Gender Female, 53.3%
Sad 45.1%
Surprised 45.1%
Happy 45.5%
Fear 45.1%
Angry 51.1%
Confused 45%
Disgusted 45.6%
Calm 47.4%

AWS Rekognition

Age 21-33
Gender Male, 51.7%
Fear 45.2%
Surprised 45.2%
Sad 46.1%
Confused 45.2%
Calm 49.4%
Happy 45.1%
Angry 48.5%
Disgusted 45.3%

AWS Rekognition

Age 42-60
Gender Male, 52.4%
Happy 50.5%
Angry 45.1%
Surprised 45.1%
Calm 48.2%
Confused 45.1%
Fear 45.1%
Disgusted 45%
Sad 45.8%

AWS Rekognition

Age 7-17
Gender Female, 52.3%
Happy 45%
Disgusted 45.2%
Sad 46.3%
Calm 48.3%
Surprised 45%
Fear 45%
Confused 45.1%
Angry 50%

AWS Rekognition

Age 22-34
Gender Male, 53.5%
Fear 45%
Happy 47%
Sad 45.3%
Angry 46.2%
Surprised 45%
Confused 45%
Disgusted 45.1%
Calm 51.3%

AWS Rekognition

Age 36-52
Gender Male, 54.7%
Disgusted 45%
Sad 45%
Fear 45%
Angry 54.9%
Confused 45%
Calm 45%
Surprised 45%
Happy 45%

AWS Rekognition

Age 39-57
Gender Male, 52.3%
Angry 45.1%
Happy 47%
Disgusted 45.3%
Surprised 45.2%
Fear 45.1%
Sad 47.5%
Confused 45.2%
Calm 49.6%

AWS Rekognition

Age 38-56
Gender Male, 54.5%
Happy 45%
Surprised 45.8%
Sad 45%
Calm 54%
Fear 45%
Angry 45%
Disgusted 45%
Confused 45.1%

AWS Rekognition

Age 32-48
Gender Male, 54.6%
Happy 45.4%
Disgusted 45%
Angry 45.2%
Calm 46.4%
Sad 52.9%
Fear 45%
Confused 45.1%
Surprised 45%

AWS Rekognition

Age 43-61
Gender Male, 54.7%
Angry 45.8%
Sad 45.6%
Fear 45%
Surprised 45%
Happy 45%
Confused 45.1%
Calm 53.3%
Disgusted 45%

AWS Rekognition

Age 48-66
Gender Male, 54.8%
Calm 49.5%
Disgusted 45.2%
Happy 45.2%
Surprised 47.1%
Sad 45.4%
Confused 45.2%
Fear 45.9%
Angry 46.5%

AWS Rekognition

Age 48-66
Gender Male, 50.1%
Surprised 49.5%
Fear 49.5%
Confused 49.5%
Disgusted 49.5%
Calm 49.5%
Angry 49.5%
Happy 49.5%
Sad 50.5%

AWS Rekognition

Age 2-8
Gender Male, 53.7%
Fear 46.1%
Surprised 45.9%
Calm 45.6%
Confused 45.2%
Disgusted 46%
Happy 46.8%
Sad 46.5%
Angry 48%

AWS Rekognition

Age 19-31
Gender Male, 53.8%
Calm 53.2%
Surprised 45.2%
Happy 45.4%
Sad 45.2%
Disgusted 45.4%
Confused 45.1%
Angry 45.1%
Fear 45.5%

Feature analysis

Amazon

Person 99.2%
Painting 98.7%

Categories

Text analysis

Amazon

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Google

notimal allene 1926.33. 166
notimal
allene
1926.33.
166