Human Generated Data

Title

Krishna and Radha Celebrating Holi with the Gopis (painting, recto; text, verso), folio from a Satsaiya (Seven Hundred Verses) series

Date

18th century

People

Artist: Unknown Artist,

Classification

Manuscripts

Credit Line

Harvard Art Museums/Arthur M. Sackler Museum, Gift of John Kenneth Galbraith, 1973.154

Human Generated Data

Title

Krishna and Radha Celebrating Holi with the Gopis (painting, recto; text, verso), folio from a Satsaiya (Seven Hundred Verses) series

People

Artist: Unknown Artist,

Date

18th century

Classification

Manuscripts

Credit Line

Harvard Art Museums/Arthur M. Sackler Museum, Gift of John Kenneth Galbraith, 1973.154

Machine Generated Data

Tags

Amazon
created on 2019-05-22

Human 97.2
Person 97.2
Advertisement 93.6
Art 81.6
Painting 81.6
Leisure Activities 80.1
Brochure 75.1
Paper 75.1
Flyer 75.1
Toy 74.8
Person 70.9
Person 67.8
Person 67.4
Person 66.8
Dance Pose 66.5
Person 58.7
Poster 57
Person 46.5

Clarifai
created on 2019-05-22

illustration 99.8
art 99.1
people 97.7
painting 96.8
vintage 96.4
man 96.1
print 94.8
woman 94.3
retro 92.2
card 91.6
child 90.4
old 90.3
lithograph 90
adult 89.9
son 88.4
antique 87.2
religion 86.4
bill 86.2
postcard 84.3
manuscript 83.4

Imagga
created on 2019-05-22

comic book 56.9
vintage 36.4
stamp 32.9
mail 32.6
envelope 32
postmark 30.5
old 30
container 29.8
retro 28.7
postage 27.5
letter 25.7
postal 25.5
book jacket 24.3
print media 22.8
tray 22.6
philately 21.7
circa 20.7
card 20.4
printed 19.7
jacket 18.9
receptacle 18.3
post 18.1
shows 17.7
ancient 17.3
paper 17.2
aged 17.2
art 16.9
jigsaw puzzle 16.4
packet 14.9
message 14.6
wrapping 14.4
puzzle 13.9
global 13.7
package 13.4
unique 13.3
covering 12.5
stamps 11.8
pattern 11.6
game 11.5
culture 11.1
grunge 11.1
cutting 10.6
communications 10.5
antique 10.4
design 10.1
man 10.1
address 9.8
icon 9.5
decoration 9.3
collection 9
history 8.9
philatelic 8.9
post office 8.9
paintings 8.8
celebration 8.8
symbol 8.8
delivery 8.8
money 8.5
black 8.4
color 8.3
texture 8.3
newspaper 8.3
artwork 8.2
year 8.2
painting 8.1
religion 8.1
close 8
world 8
post mail 7.9
zigzag 7.9
flower 7.7
painted 7.6
hobby 7.6
one 7.5
painter 7.5
graphic 7.3
people 7.2
paint 7.2
currency 7.2
colorful 7.2
face 7.1
love 7.1

Google
created on 2019-05-22

Microsoft
created on 2019-05-22

text 98.9
cartoon 98
book 97.4
painting 97.1
child art 93.8
drawing 91.8
person 86.4
clothing 78.5
illustration 63.3
woman 59
colorful 44.3
posing 42.6

Color Analysis

Face analysis

Amazon

Microsoft

AWS Rekognition

Age 20-38
Gender Male, 54.5%
Happy 45.5%
Surprised 45.3%
Calm 51.8%
Disgusted 45.7%
Sad 45.9%
Confused 45.3%
Angry 45.5%

AWS Rekognition

Age 26-43
Gender Female, 53.7%
Disgusted 45.6%
Angry 45.4%
Confused 45.3%
Happy 49.1%
Calm 48.9%
Surprised 45.4%
Sad 45.3%

AWS Rekognition

Age 20-38
Gender Male, 51.4%
Calm 49.3%
Happy 45.2%
Sad 45.1%
Disgusted 48.3%
Angry 45.5%
Surprised 46.2%
Confused 45.4%

AWS Rekognition

Age 19-36
Gender Female, 54.4%
Confused 45.6%
Angry 46.6%
Happy 46.2%
Sad 45.4%
Calm 45.6%
Disgusted 49.7%
Surprised 46%

AWS Rekognition

Age 20-38
Gender Male, 54.7%
Calm 54.3%
Disgusted 45%
Sad 45.3%
Happy 45.1%
Surprised 45.1%
Angry 45.1%
Confused 45.1%

AWS Rekognition

Age 20-38
Gender Male, 51.9%
Calm 45.1%
Angry 45.5%
Sad 52.2%
Disgusted 45.3%
Confused 45.3%
Surprised 45.2%
Happy 46.3%

AWS Rekognition

Age 20-38
Gender Female, 51.4%
Surprised 45.4%
Disgusted 46.8%
Happy 46%
Sad 46.1%
Calm 46.9%
Confused 45.2%
Angry 48.6%

AWS Rekognition

Age 20-38
Gender Female, 50.4%
Disgusted 45.3%
Angry 45.4%
Sad 48.1%
Happy 49.9%
Confused 45.3%
Surprised 45.4%
Calm 45.6%

AWS Rekognition

Age 19-36
Gender Male, 53.8%
Happy 48.2%
Sad 46.1%
Calm 47.1%
Disgusted 46.1%
Confused 46%
Angry 45.8%
Surprised 45.7%

AWS Rekognition

Age 20-38
Gender Male, 54.3%
Disgusted 53.3%
Surprised 45.1%
Confused 45.1%
Angry 45.4%
Happy 45.3%
Sad 45.4%
Calm 45.4%

Microsoft Cognitive Services

Age 27
Gender Male

Feature analysis

Amazon

Person 97.2%
Painting 81.6%
Poster 57%

Categories

Imagga

paintings art 92.8%
interior objects 6.6%

Captions

Text analysis

Amazon

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