Human Generated Data

Title

Scholars at a Lecture
Date

c. 1736
People

Artist: Unidentified Artist,

Artist after: William Hogarth, British 1697 - 1764
Classification

Prints
Credit Line

Harvard Art Museums/Fogg Museum, Gift of Belinda L. Randall from the collection of John Witt Randall, R5692

Human Generated Data

Title

Scholars at a Lecture

People

Artist: Unidentified Artist,

Artist after: William Hogarth, British 1697 - 1764

Date

c. 1736

Classification

Prints

Credit Line

Harvard Art Museums/Fogg Museum, Gift of Belinda L. Randall from the collection of John Witt Randall, R5692

Machine Generated Data

Tags

Amazon
created on 2023-10-18

Art 99.9
Painting 99.9
People 99.8
Person 98.3
Adult 98.3
Male 98.3
Man 98.3
Person 97.2
Adult 97.2
Male 97.2
Man 97.2
Person 96.5
Person 96.4
Adult 96.4
Male 96.4
Man 96.4
Person 95.8
Adult 95.8
Bride 95.8
Female 95.8
Wedding 95.8
Woman 95.8
Person 95.5
Adult 95.5
Male 95.5
Man 95.5
Person 95
Face 94.6
Head 94.6
Person 93.7
Person 93.6
Adult 93.6
Bride 93.6
Female 93.6
Woman 93.6
Person 93.2
Adult 93.2
Male 93.2
Man 93.2
Person 91.8
Adult 91.8
Male 91.8
Man 91.8
Person 91.8
Person 91.7
Person 91.6
Person 90.8
Adult 90.8
Male 90.8
Man 90.8
Person 88.6
Drawing 88.3
Person 87.7
Person 75.9
Person 74.7
Crowd 57.8
Clothing 57.5
Hat 57.5
Graduation 55.5
Jury 55.2

Clarifai
created on 2023-10-18

people 100
group 100
print 99.2
adult 98.8
many 98.8
illustration 98.7
man 97.5
art 97.1
son 95.6
child 94.9
portrait 94.9
woman 94.5
lid 94.2
boy 92.5
engraving 92
group together 91.6
veil 91.1
administration 89.3
school 86.6
leader 86.3

Imagga
created on 2018-12-27

comic book 65.4
religion 33.2
art 32.2
print media 26.2
church 25
currency 23.3
culture 23.1
cemetery 22.7
money 22.1
sculpture 21.2
temple 20.7
god 20.1
dollar 18.6
cash 18.3
statue 17.8
religious 17.8
banking 16.6
architecture 16.5
ancient 15.6
spirituality 15.4
finance 15.2
bank 14.5
holy 14.5
history 14.3
travel 14.1
gold 14
decoration 13.7
wealth 13.5
bill 13.3
old 13.2
symbol 12.8
bible 12.7
financial 12.5
business 12.2
golden 12
mosaic 11.7
dollars 11.6
loan 11.5
one 11.2
icon 11.1
masterpiece 10.9
museum 10.8
faith 10.5
antique 10.5
capital 10.4
savings 10.3
rich 10.2
famous 10.2
economy 10.2
vintage 9.9
tourism 9.9
bills 9.7
man 9.4
historical 9.4
face 9.2
painter 9.2
letter 9.2
traditional 9.1
tourist 9.1
stamp 8.9
hundred 8.7
finances 8.7
design 8.7
paper 8.6
mail 8.6
exchange 8.6
close 8.6
monument 8.4
closeup 8.1
detail 8
market 8
postmark 7.9
printed 7.9
orthodox 7.8
banknote 7.8
pray 7.8
prayer 7.7
us 7.7
painted 7.6
east 7.5
interior 7.1

Google
created on 2018-12-27

black and white 86.3
history 76.3
art 74.1
artwork 61
monochrome 61
drawing 59.3
visual arts 55.9
illustration 55.5
middle ages 50.4
monochrome photography 50.3

Microsoft
created on 2018-12-27

text 100
book 97.2
posing 92.1
old 75
library 72.6
group 72.6
family 18.3
child 3.8

Color Analysis

Face analysis

Amazon

Microsoft

Google

AWS Rekognition

Age 31-41
Gender Female, 98.8%
Calm 98.1%
Surprised 6.3%
Fear 5.9%
Sad 2.2%
Happy 0.6%
Disgusted 0.4%
Confused 0.2%
Angry 0.2%

AWS Rekognition

Age 23-31
Gender Female, 95.3%
Happy 79.4%
Calm 17.1%
Surprised 6.5%
Fear 6.1%
Sad 2.4%
Angry 0.8%
Disgusted 0.7%
Confused 0.1%

AWS Rekognition

Age 38-46
Gender Female, 65.4%
Calm 59.3%
Disgusted 31.7%
Surprised 6.8%
Fear 6.8%
Sad 2.8%
Angry 2%
Confused 1.2%
Happy 0.5%

AWS Rekognition

Age 28-38
Gender Male, 97.2%
Sad 94%
Calm 27.3%
Fear 8.4%
Disgusted 7.8%
Surprised 7.1%
Confused 6.3%
Angry 4.5%
Happy 0.8%

AWS Rekognition

Age 36-44
Gender Male, 85.3%
Calm 53%
Disgusted 46.1%
Surprised 6.4%
Fear 5.9%
Sad 2.2%
Confused 0.2%
Angry 0.1%
Happy 0.1%

AWS Rekognition

Age 51-59
Gender Male, 99.9%
Calm 91.3%
Surprised 6.9%
Fear 6.2%
Disgusted 2.9%
Sad 2.5%
Angry 1.8%
Confused 0.4%
Happy 0.3%

AWS Rekognition

Age 25-35
Gender Male, 85.6%
Surprised 58.4%
Calm 37.8%
Fear 13%
Angry 5.1%
Disgusted 4.3%
Sad 2.6%
Confused 1.8%
Happy 1.2%

AWS Rekognition

Age 34-42
Gender Female, 99.5%
Angry 91.7%
Surprised 6.5%
Fear 6%
Calm 4.8%
Sad 2.7%
Disgusted 0.6%
Confused 0.5%
Happy 0.2%

AWS Rekognition

Age 24-34
Gender Female, 75.9%
Fear 96.8%
Surprised 8.9%
Sad 2.6%
Calm 0.7%
Angry 0.4%
Confused 0.4%
Happy 0.4%
Disgusted 0.3%

AWS Rekognition

Age 26-36
Gender Male, 57.8%
Angry 44.6%
Surprised 22.6%
Calm 14.8%
Fear 11.6%
Disgusted 6.9%
Sad 3.2%
Happy 1.6%
Confused 1%

AWS Rekognition

Age 31-41
Gender Male, 96.4%
Confused 54.6%
Sad 31.6%
Calm 15.8%
Surprised 7%
Fear 6.3%
Angry 3.5%
Disgusted 1.8%
Happy 0.5%

AWS Rekognition

Age 27-37
Gender Female, 89.4%
Angry 69.5%
Disgusted 16.4%
Fear 7.2%
Surprised 7.2%
Sad 4%
Calm 2.8%
Confused 1.1%
Happy 0.7%

AWS Rekognition

Age 25-35
Gender Male, 95.6%
Fear 97.2%
Surprised 6.8%
Calm 3.9%
Sad 2.2%
Disgusted 0.3%
Confused 0.2%
Angry 0.2%
Happy 0.2%

AWS Rekognition

Age 18-26
Gender Female, 64.4%
Fear 96.7%
Surprised 8.9%
Sad 2.3%
Calm 1.8%
Confused 0.5%
Disgusted 0.5%
Angry 0.4%
Happy 0.2%

Microsoft Cognitive Services

Age 31
Gender Male

Microsoft Cognitive Services

Age 30
Gender Female

Microsoft Cognitive Services

Age 30
Gender Male

Microsoft Cognitive Services

Age 35
Gender Male

Google Vision

Surprise Very unlikely
Anger Very unlikely
Sorrow Very unlikely
Joy Very unlikely
Headwear Very unlikely
Blurred Very unlikely

Google Vision

Surprise Very unlikely
Anger Very unlikely
Sorrow Very unlikely
Joy Very unlikely
Headwear Very unlikely
Blurred Very unlikely

Feature analysis

Amazon

Person 98.3%
Adult 98.3%
Male 98.3%
Man 98.3%
Bride 95.8%
Female 95.8%
Woman 95.8%

Categories

Imagga

people portraits 94.7%
paintings art 5.2%