Human Generated Data

Title

Shah Abbas Receiving Khan Alam in 1618

Date

18th-19th century

People

-

Classification

Paintings

Credit Line

Harvard Art Museums/Arthur M. Sackler Museum, Gift of Nina Bourne, 1984.855

Human Generated Data

Title

Shah Abbas Receiving Khan Alam in 1618

Date

18th-19th century

Classification

Paintings

Credit Line

Harvard Art Museums/Arthur M. Sackler Museum, Gift of Nina Bourne, 1984.855

Machine Generated Data

Tags

Amazon
created on 2019-07-08

Human 99.1
Person 99.1
Person 99
Person 98.9
Person 98.9
Person 98.1
Person 98.1
Person 98
Person 97.7
Person 97.7
Person 97.6
Person 97.3
Person 97.1
Person 97.1
Person 96.6
Person 95.6
Person 95.6
Person 95.5
Person 94.8
Person 94.6
Person 94.1
Person 93.6
Art 89
Painting 86.9
Person 86.5
Person 84.8
Person 84.8
Drawing 66.9
Person 65.1
Advertisement 64.7
Poster 61.1
Furniture 58.9

Clarifai
created on 2019-07-08

illustration 99.8
art 99.4
people 99.2
painting 99.1
child 98.2
man 97.1
adult 96.8
woman 96.7
group 94.4
son 93.1
print 91.8
text 83.2
girl 81.8
family 81
wall 81
kneeling 80.9
baby 80.5
lithograph 80.3
color 79
retro 78.8

Imagga
created on 2019-07-08

comic book 65.9
jigsaw puzzle 46.2
puzzle 37.4
currency 35.9
money 34
cash 29.3
finance 28.7
paper 28.2
game 27.7
print media 26.3
financial 25
wealth 24.2
bank 20.6
economy 19.5
banking 19.3
exchange 19.1
banknote 18.4
business 17.6
art 17.3
bill 16.2
old 16
note 14.7
dollar 13.9
map 13.8
banknotes 13.7
symbol 13.5
pay 12.5
vintage 12.4
envelope 12.2
savings 12.1
investment 11.9
economics 11.7
bills 11.7
geography 11.6
notes 11.5
retro 11.5
mosaic 11.3
travel 11.3
pattern 10.9
global 10.9
world 10.6
profit 10.5
trade 10.5
close 10.3
commerce 10.3
letter 10.1
colorful 10
stamp 9.8
sign 9.8
country 9.7
payment 9.6
used 9.6
mail 9.6
ancient 9.5
color 9.5
culture 9.4
grunge 9.4
rich 9.3
design 9
religion 9
market 8.9
wealthy 8.8
rate 8.8
economic 8.7
hundred 8.7
decoration 8.7
church 8.3
antique 8.3
collection 8.1
success 8
drawing 8
postmark 7.9
foreign 7.9
postage 7.9
ten 7.9
postal 7.9
value 7.8
states 7.7
debt 7.7
change 7.7
texture 7.6
container 7.6
international 7.6
save 7.6
china 7.5
buy 7.5
tourism 7.4
many 7.4
border 7.2

Google
created on 2019-07-08

Painting 92.9
Art 85.9
Illustration 80.4
Miniature 71.3
History 60.4

Microsoft
created on 2019-07-08

painting 98.2
grass 98.1
cartoon 97.6
drawing 93.6
person 90.4
child art 79.9
clothing 78.5
human face 66.4
bedclothes 34.9
fabric 23.5
several 13.2

Color Analysis

Face analysis

Amazon

Google

AWS Rekognition

Age 19-36
Gender Male, 54.1%
Happy 46.2%
Confused 45.7%
Calm 48%
Surprised 45.7%
Sad 48.7%
Angry 45.5%
Disgusted 45.2%

AWS Rekognition

Age 35-52
Gender Male, 54%
Calm 45.9%
Angry 49.4%
Confused 45.4%
Surprised 45.3%
Disgusted 45.4%
Sad 48.3%
Happy 45.2%

AWS Rekognition

Age 27-44
Gender Male, 54.7%
Disgusted 45.3%
Happy 45.4%
Sad 45.5%
Confused 45.6%
Calm 51.9%
Angry 45.5%
Surprised 45.8%

AWS Rekognition

Age 35-52
Gender Male, 54.5%
Angry 45.3%
Calm 52.1%
Disgusted 45.1%
Sad 45.2%
Happy 45.8%
Confused 45.4%
Surprised 46%

AWS Rekognition

Age 26-43
Gender Male, 53%
Disgusted 45.6%
Sad 47.4%
Surprised 46.6%
Calm 49.1%
Angry 45.6%
Confused 45.5%
Happy 45.3%

AWS Rekognition

Age 23-38
Gender Male, 50.6%
Calm 51.5%
Confused 45.3%
Surprised 45.5%
Disgusted 46%
Happy 45.3%
Sad 45.9%
Angry 45.5%

AWS Rekognition

Age 35-52
Gender Male, 54.9%
Confused 46%
Happy 46.6%
Disgusted 45.7%
Sad 45.7%
Calm 49.3%
Surprised 45.7%
Angry 46.1%

AWS Rekognition

Age 30-47
Gender Male, 55%
Disgusted 45.1%
Happy 45.1%
Calm 51.8%
Confused 45.7%
Angry 45.5%
Surprised 46.6%
Sad 45.3%

AWS Rekognition

Age 17-27
Gender Female, 50.4%
Sad 49.9%
Calm 49.7%
Angry 49.6%
Disgusted 49.6%
Happy 49.6%
Confused 49.6%
Surprised 49.6%

AWS Rekognition

Age 6-13
Gender Male, 50.2%
Calm 49.9%
Disgusted 49.5%
Surprised 49.6%
Confused 49.6%
Sad 49.6%
Happy 49.6%
Angry 49.5%

AWS Rekognition

Age 26-43
Gender Male, 51.9%
Angry 45.8%
Happy 45.2%
Calm 48.3%
Sad 45.2%
Confused 45.7%
Disgusted 46.4%
Surprised 48.4%

AWS Rekognition

Age 35-55
Gender Male, 50.2%
Happy 45.3%
Confused 45.6%
Calm 52%
Disgusted 45.2%
Sad 45.9%
Angry 45.5%
Surprised 45.4%

AWS Rekognition

Age 20-38
Gender Female, 50.2%
Angry 49.7%
Calm 49.6%
Disgusted 50%
Happy 49.6%
Sad 49.5%
Surprised 49.6%
Confused 49.5%

AWS Rekognition

Age 16-27
Gender Female, 50.3%
Angry 49.6%
Happy 49.6%
Calm 49.8%
Sad 49.9%
Confused 49.5%
Disgusted 49.6%
Surprised 49.6%

AWS Rekognition

Age 17-27
Gender Female, 50.5%
Surprised 49.6%
Confused 49.5%
Sad 49.6%
Happy 49.6%
Calm 49.9%
Disgusted 49.7%
Angry 49.6%

AWS Rekognition

Age 17-27
Gender Female, 50.2%
Confused 49.6%
Sad 49.8%
Angry 49.7%
Disgusted 49.5%
Surprised 49.6%
Happy 49.5%
Calm 49.7%

AWS Rekognition

Age 35-52
Gender Female, 50.4%
Happy 49.7%
Angry 49.5%
Surprised 49.6%
Disgusted 49.9%
Sad 49.6%
Confused 49.6%
Calm 49.6%

AWS Rekognition

Age 26-44
Gender Male, 50.4%
Surprised 49.5%
Happy 49.5%
Calm 50%
Disgusted 49.5%
Sad 49.9%
Angry 49.5%
Confused 49.5%

AWS Rekognition

Age 23-38
Gender Female, 50.1%
Confused 49.5%
Calm 50.2%
Angry 49.6%
Sad 49.6%
Disgusted 49.5%
Happy 49.5%
Surprised 49.5%

AWS Rekognition

Age 15-25
Gender Female, 50.4%
Happy 49.5%
Angry 49.5%
Sad 50.4%
Calm 49.5%
Confused 49.5%
Surprised 49.5%
Disgusted 49.5%

AWS Rekognition

Age 20-38
Gender Male, 50%
Angry 49.5%
Disgusted 49.5%
Happy 49.5%
Sad 50.2%
Surprised 49.5%
Calm 49.6%
Confused 49.5%

AWS Rekognition

Age 26-43
Gender Female, 50%
Happy 49.6%
Sad 50.1%
Disgusted 49.6%
Angry 49.6%
Surprised 49.6%
Confused 49.5%
Calm 49.6%

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 likely
Blurred Very unlikely

Google Vision

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

Google Vision

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

Feature analysis

Amazon

Person 99.1%
Painting 86.9%

Categories

Imagga

paintings art 99.7%

Text analysis

Amazon

pys