Human Generated Data

Title

Nocturnal Scene

Date

c. 1800-1805

People

Artist: Unidentified Artist,

Previous attribution: Bartolomeo Pinelli, Italian 1781 - 1835

Previous attribution: Thomas Rowlandson, British 1756 - 1827

Classification

Drawings

Credit Line

Harvard Art Museums/Fogg Museum, Gift of Paul J. Haldeman, 2002.95.100

Human Generated Data

Title

Nocturnal Scene

People

Artist: Unidentified Artist,

Previous attribution: Bartolomeo Pinelli, Italian 1781 - 1835

Previous attribution: Thomas Rowlandson, British 1756 - 1827

Date

c. 1800-1805

Classification

Drawings

Credit Line

Harvard Art Museums/Fogg Museum, Gift of Paul J. Haldeman, 2002.95.100

Machine Generated Data

Tags

Amazon
created on 2019-05-31

Duel 99.6
Person 99.6
Human 99.6
Person 99.2
Person 98.1
Person 95.2
Person 92.9
Painting 91.4
Art 91.4
Person 87.4
Sports 66.9
Sport 66.9
Person 62.8
Hand 57.1

Clarifai
created on 2019-05-31

illustration 99.9
painting 99.8
people 99.7
art 99.7
man 99.2
adult 98.9
print 97.9
woman 96
kneeling 95.7
group 95.5
religion 95.4
wear 94.4
facial hair 93.8
gown (clothing) 93.7
Renaissance 93.7
baby 93.5
cape 92.4
lithograph 92.4
aura 92.3
saint 91.6

Imagga
created on 2019-05-31

comic book 81.7
graffito 44
decoration 33.9
print media 32.7
old 18.1
art 18
money 17.9
man 17.5
vintage 17.4
paper 16.5
retro 15.6
cash 14.6
grunge 14.5
antique 13.8
hockey stick 13.6
currency 13.4
financial 12.5
stick 12.2
boa constrictor 11.8
design 11.7
bank 11.6
stamp 11.6
map 11.3
travel 11.3
finance 11
world 10.8
ancient 10.4
business 10.3
drawing 10.2
dollar 10.2
economy 10.2
church 10.2
banking 10.1
note 10.1
letter 10.1
color 10
game 10
paint 9.9
mail 9.6
exchange 9.5
bill 9.5
symbol 9.4
boa 9.4
close 9.1
painting 9
fun 9
people 8.9
cartoon 8.9
postmark 8.9
postage 8.8
sport 8.7
geography 8.7
men 8.6
competition 8.2
sports equipment 8.1
wealth 8.1
religion 8.1
equipment 7.9
banknote 7.8
wall 7.7
card 7.6
pattern 7.5
envelope 7.4
window 7.3
graphic 7.3
global 7.3
black 7.2
collection 7.2
male 7.1

Google
created on 2019-05-31

Microsoft
created on 2019-05-31

text 99.8
cartoon 98.9
drawing 96.8
book 95.5
person 87.3
indoor 87.3
sketch 86.1
clothing 74.2
illustration 72.7
painting 70.3
dog 53.6
man 53

Color Analysis

Face analysis

Amazon

AWS Rekognition

Age 35-52
Gender Female, 54.1%
Sad 45.5%
Angry 46.7%
Disgusted 49.4%
Surprised 45.8%
Happy 45.3%
Calm 46.8%
Confused 45.6%

AWS Rekognition

Age 26-43
Gender Male, 53.8%
Happy 46.2%
Disgusted 45.9%
Angry 46.2%
Calm 49.1%
Sad 46%
Confused 45.8%
Surprised 45.7%

AWS Rekognition

Age 20-38
Gender Male, 52.1%
Angry 45.8%
Surprised 45.3%
Calm 45.3%
Sad 49.3%
Confused 45.2%
Disgusted 45.3%
Happy 48.7%

AWS Rekognition

Age 26-43
Gender Female, 52.7%
Disgusted 45.4%
Calm 45.8%
Angry 45.5%
Sad 52.5%
Happy 45.4%
Surprised 45.2%
Confused 45.2%

AWS Rekognition

Age 45-66
Gender Male, 51.3%
Sad 46.4%
Surprised 45.2%
Happy 45.1%
Angry 45.2%
Calm 52.5%
Confused 45.2%
Disgusted 45.4%

AWS Rekognition

Age 23-38
Gender Female, 54.4%
Disgusted 45.3%
Sad 48%
Calm 48.9%
Confused 45.6%
Surprised 46.3%
Happy 45.2%
Angry 45.7%

Feature analysis

Amazon

Person 99.6%
Painting 91.4%

Categories