Human Generated Data

Title

Amar Singh II (as a Prince) and his Father Watch an Entertainment

Date

c. 1685

People

-

Classification

Paintings

Credit Line

Harvard Art Museums/Arthur M. Sackler Museum, Gift in gratitude to John Coolidge, Gift of Leslie Cheek, Jr., Anonymous Fund in memory of Henry Berg, Louise Haskell Daly, Alpheus Hyatt, Richard Norton Memorial Funds and through the generosity of Albert H. Gordon and Emily Rauh Pulitzer; formerly in the collection of Stuart Cary Welch, Jr., 1995.77

Human Generated Data

Title

Amar Singh II (as a Prince) and his Father Watch an Entertainment

Date

c. 1685

Classification

Paintings

Credit Line

Harvard Art Museums/Arthur M. Sackler Museum, Gift in gratitude to John Coolidge, Gift of Leslie Cheek, Jr., Anonymous Fund in memory of Henry Berg, Louise Haskell Daly, Alpheus Hyatt, Richard Norton Memorial Funds and through the generosity of Albert H. Gordon and Emily Rauh Pulitzer; formerly in the collection of Stuart Cary Welch, Jr., 1995.77

Machine Generated Data

Tags

Amazon
created on 2019-04-08

Person 98.3
Human 98.3
Person 97.8
Person 95.9
Person 95
Person 91
Person 88.3
Person 86.1
Person 85
Person 82.9
Person 82.6
Person 82.4
Painting 79.5
Art 79.5
Leisure Activities 78.6
Person 77.9
Person 75.7
Advertisement 68.7
Poster 67.3
Circus 63.5
Person 60.3
Book 58.4

Clarifai
created on 2018-02-10

illustration 99.8
people 98.6
art 98.1
painting 98
print 97.5
wear 97.1
man 96
adult 95.9
group 94.9
retro 92.8
woman 92.5
vintage 92.1
book bindings 91.7
lithograph 91
lid 90.9
son 89.6
child 89.6
card 89.5
manuscript 88
mammal 87.8

Imagga
created on 2018-02-10

vintage 33.9
stamp 32
mail 31.6
old 31.4
envelope 30.8
postage 29.5
postmark 28.6
binder 27.9
postal 27.5
letter 25.7
post 23.9
retro 23.8
art 23.6
covering 22.1
paper 22
bookmark 19.7
ancient 18.2
stamps 17.8
design 17.5
pattern 16.4
collection 16.2
unique 16.1
philately 15.8
printed 15.7
antique 15.6
culture 15.4
container 15.2
frame 15
texture 13.9
shows 13.8
global 13.7
circa 12.8
grunge 12.8
card 12.8
icon 12.7
decoration 12.5
symbol 12.1
book 11.9
cutting 11.6
communications 11.5
painted 11.5
black 11.4
binding 11.1
money 11.1
floral 11.1
aged 10.9
flower 10.8
religion 10.8
church 10.2
painter 10.1
colorful 10
paint 10
canceled 9.9
currency 9.9
renaissance 9.8
paintings 9.8
delivery 9.7
one 9.7
close 9.7
office 9.6
color 9.5
artwork 9.2
cash 9.2
border 9
zigzag 8.9
masterpiece 8.9
known 8.9
send 8.8
museum 8.7
print 8.5
communication 8.4
historic 8.3
game 8.1
history 8.1
colors 7.9
post mail 7.9
fame 7.9
collect 7.9
puzzle 7.9
product 7.8
letters 7.7
mark 7.7
notebook 7.7
international 7.6
fine 7.6
finance 7.6
tray 7.5
message 7.3
dirty 7.2

Google
created on 2018-02-10

art 75.5
picture frame 69
painting 66.1
miniature 62.7
artwork 57.5
fiction 52.9
illustration 52.9
history 51.8

Microsoft
created on 2018-02-10

text 90.5
posing 59.1
old 52.1
painted 27.7
painting 21.5

Color Analysis

Face analysis

Amazon

AWS Rekognition

Age 17-27
Gender Female, 94.5%
Confused 10.1%
Calm 13.8%
Happy 9.7%
Disgusted 27.1%
Angry 8.5%
Sad 7.4%
Surprised 23.3%

AWS Rekognition

Age 16-27
Gender Female, 68.4%
Happy 8.8%
Sad 14.3%
Calm 21.2%
Confused 14.4%
Disgusted 9.4%
Angry 8.2%
Surprised 23.8%

AWS Rekognition

Age 17-27
Gender Female, 52.3%
Angry 3.8%
Happy 4.2%
Disgusted 1.6%
Confused 6.9%
Sad 2.3%
Calm 9.6%
Surprised 71.7%

AWS Rekognition

Age 26-43
Gender Female, 64.4%
Happy 19.8%
Disgusted 2.1%
Confused 7.2%
Calm 26.8%
Angry 6.6%
Sad 24.8%
Surprised 12.7%

AWS Rekognition

Age 20-38
Gender Female, 99%
Happy 7.1%
Surprised 14.7%
Angry 11.3%
Confused 8.1%
Disgusted 16.4%
Calm 36.4%
Sad 6.1%

AWS Rekognition

Age 17-27
Gender Male, 71.2%
Happy 4.1%
Sad 2.2%
Surprised 17.6%
Confused 6%
Calm 57.6%
Angry 5.5%
Disgusted 7.1%

AWS Rekognition

Age 20-38
Gender Female, 52.1%
Angry 45.2%
Happy 45.1%
Confused 45.2%
Sad 45.7%
Surprised 45.3%
Calm 53.3%
Disgusted 45.1%

AWS Rekognition

Age 26-43
Gender Female, 68.5%
Disgusted 2.2%
Confused 15.4%
Surprised 67.6%
Calm 7.2%
Angry 3.1%
Happy 1.5%
Sad 2.9%

AWS Rekognition

Age 26-43
Gender Male, 96.3%
Surprised 12.2%
Happy 2.9%
Disgusted 9.4%
Confused 18.3%
Calm 43.6%
Angry 5.6%
Sad 7.9%

AWS Rekognition

Age 14-23
Gender Female, 54.5%
Surprised 45.7%
Confused 45.5%
Calm 48.3%
Happy 45.6%
Disgusted 46.3%
Angry 46.1%
Sad 47.7%

AWS Rekognition

Age 15-25
Gender Female, 51.3%
Sad 45.4%
Happy 45.3%
Angry 45.6%
Calm 47.8%
Surprised 46.7%
Confused 45.6%
Disgusted 48.5%

AWS Rekognition

Age 11-18
Gender Female, 71.2%
Happy 4.8%
Sad 13.3%
Confused 12.7%
Angry 3.2%
Surprised 14.3%
Calm 6.3%
Disgusted 45.4%

AWS Rekognition

Age 16-27
Gender Female, 86.1%
Disgusted 43.5%
Sad 4.3%
Happy 2.3%
Surprised 25.1%
Calm 10.4%
Angry 5.2%
Confused 9.2%

AWS Rekognition

Age 20-38
Gender Male, 54.5%
Happy 45.1%
Calm 45.2%
Angry 46.2%
Disgusted 52.9%
Sad 45.1%
Surprised 45.2%
Confused 45.4%

AWS Rekognition

Age 15-25
Gender Female, 50%
Sad 45.6%
Disgusted 45.7%
Confused 46%
Surprised 48.1%
Happy 45.7%
Angry 46.9%
Calm 47%

AWS Rekognition

Age 20-38
Gender Female, 53.1%
Confused 45.2%
Calm 52.2%
Surprised 45.4%
Sad 46.1%
Happy 45.1%
Disgusted 45.3%
Angry 45.6%

AWS Rekognition

Age 26-43
Gender Female, 78.7%
Surprised 8.6%
Disgusted 17%
Confused 8.3%
Angry 31.3%
Sad 18.7%
Happy 3.8%
Calm 12.3%

AWS Rekognition

Age 23-38
Gender Male, 51.5%
Confused 45.7%
Sad 47.3%
Disgusted 45.1%
Happy 45.1%
Angry 45.3%
Surprised 51.4%
Calm 45.3%

Feature analysis

Amazon

Person 98.3%
Painting 79.5%

Captions