Human Generated Data

Title

Krishna and Balarama at a Wrestling Match (painting, recto), folio from a Bhagavata Purana series
Date

c. 1760
People

-
Classification

Manuscripts
Credit Line

Harvard Art Museums/Arthur M. Sackler Museum, Gift of Mr. and Mrs. Peter Bienstock, 1974.109

Human Generated Data

Title

Krishna and Balarama at a Wrestling Match (painting, recto), folio from a Bhagavata Purana series

Date

c. 1760

Classification

Manuscripts

Credit Line

Harvard Art Museums/Arthur M. Sackler Museum, Gift of Mr. and Mrs. Peter Bienstock, 1974.109

Machine Generated Data

Tags

Amazon
created on 2020-04-24

Person 97.9
Human 97.9
Person 95.2
Person 91.1
Person 90.5
Person 90.4
Art 87.9
Person 84.6
Person 84.5
Painting 83.1
Person 81.2
Person 75.9
Person 75.6
Archaeology 74.7
Person 67.7
Bunker 58.3
Building 58.3
Soil 56.2
Person 48.3

Clarifai
created on 2020-04-24

people 99.7
illustration 97.9
man 97.3
group 97.1
art 97
adult 96.6
vintage 92.9
old 89.9
group together 89.8
retro 89.1
wear 88.9
war 87.7
child 87.1
painting 86
interaction 85.7
print 85.6
woman 85.2
antique 83.9
street 83.3
home 82.2

Imagga
created on 2020-04-24

container 69.6
tray 56.5
chest 54.8
box 46.2
receptacle 45.7
old 39.7
grunge 26.4
antique 25.2
vintage 24
texture 23.6
retro 20.5
ancient 19.9
art 18.8
currency 17.9
money 17
paper 16.5
aged 16.3
pattern 15.7
finance 15.2
structure 15.2
frame 15
wall 14.5
cash 13.7
history 13.4
business 13.4
design 12.9
detail 12.9
border 12.7
dirty 12.6
architecture 12.5
banking 11.9
bank 11.6
damaged 11.4
bill 11.4
sculpture 11.3
paint 10.9
memorial 10.7
old fashioned 10.5
close 10.3
decoration 10.2
historic 10.1
stone 9.9
wealth 9.9
travel 9.9
material 9.8
financial 9.8
building 9.6
exchange 9.5
blank 9.4
dollar 9.3
wood 9.2
carving 9.1
sign 9
black 9
textured 8.8
bills 8.7
brass 8.7
dollars 8.7
rusty 8.6
grungy 8.5
device 8.4
savings 8.4
color 8.3
note 8.3
investment 8.2
backdrop 8.2
symbol 8.1
metal 8
graphic 8
space 7.7
hundred 7.7
empty 7.7
china 7.7
culture 7.7
parchment 7.7
door 7.6
historical 7.5
fastener 7.4
letter 7.3
screen 7.1

Google
created on 2020-04-24

Photograph 95.7
Stock photography 76.7
Picture frame 68.6
Art 67.7
Illustration 65.5
History 62.6
Photography 62.4
Painting 59.3
Black-and-white 56.4

Microsoft
created on 2020-04-24

text 99.8
cartoon 96.7
drawing 93
sketch 85.2
person 71.2
old 52.8

Color Analysis

Face analysis

Amazon

AWS Rekognition

Age 13-23
Gender Female, 50%
Calm 53%
Confused 45%
Angry 45.1%
Happy 46.6%
Fear 45.1%
Disgusted 45%
Surprised 45.2%
Sad 45.1%

AWS Rekognition

Age 21-33
Gender Male, 51.4%
Angry 45.1%
Happy 45.2%
Surprised 45%
Sad 45.3%
Fear 45%
Confused 45%
Disgusted 45%
Calm 54.3%

AWS Rekognition

Age 41-59
Gender Male, 54.1%
Calm 53.9%
Disgusted 45%
Angry 45%
Fear 45%
Confused 45%
Happy 45%
Surprised 45%
Sad 46%

AWS Rekognition

Age 17-29
Gender Female, 50.4%
Happy 49.9%
Surprised 49.5%
Sad 49.6%
Calm 49.9%
Disgusted 49.5%
Fear 49.5%
Confused 49.5%
Angry 49.5%

AWS Rekognition

Age 13-25
Gender Female, 50.1%
Calm 50.3%
Angry 49.5%
Disgusted 49.5%
Fear 49.5%
Surprised 49.5%
Sad 49.6%
Confused 49.5%
Happy 49.5%

AWS Rekognition

Age 19-31
Gender Male, 54.8%
Fear 45.3%
Happy 46.7%
Sad 45.3%
Angry 45.3%
Surprised 47.5%
Confused 46%
Disgusted 45.8%
Calm 48.2%

AWS Rekognition

Age 33-49
Gender Male, 54.3%
Sad 45%
Confused 45%
Disgusted 45%
Happy 46.1%
Fear 45%
Calm 53.5%
Surprised 45.3%
Angry 45%

AWS Rekognition

Age 15-27
Gender Male, 50.2%
Happy 49.5%
Angry 49.5%
Surprised 49.5%
Calm 50%
Confused 49.6%
Fear 49.6%
Disgusted 49.7%
Sad 49.6%

AWS Rekognition

Age 22-34
Gender Male, 50.2%
Fear 49.9%
Calm 49.7%
Sad 49.5%
Confused 49.5%
Disgusted 49.5%
Happy 49.5%
Angry 49.5%
Surprised 49.8%

AWS Rekognition

Age 12-22
Gender Female, 54.5%
Disgusted 45%
Sad 45.3%
Fear 45%
Angry 45.1%
Confused 45.1%
Calm 54.2%
Surprised 45.1%
Happy 45.3%

AWS Rekognition

Age 17-29
Gender Male, 50.4%
Happy 49.5%
Angry 49.5%
Calm 50.4%
Disgusted 49.5%
Surprised 49.5%
Confused 49.5%
Fear 49.5%
Sad 49.5%

AWS Rekognition

Age 13-25
Gender Male, 50.1%
Surprised 49.5%
Angry 49.5%
Fear 49.5%
Disgusted 49.5%
Happy 49.6%
Calm 50.4%
Confused 49.5%
Sad 49.5%

AWS Rekognition

Age 13-23
Gender Female, 50.3%
Disgusted 49.5%
Calm 50.1%
Sad 49.6%
Happy 49.7%
Surprised 49.5%
Confused 49.5%
Angry 49.5%
Fear 49.5%

AWS Rekognition

Age 20-32
Gender Male, 50.7%
Disgusted 45.1%
Calm 53%
Surprised 45.7%
Happy 45.3%
Sad 45.2%
Angry 45.2%
Confused 45.4%
Fear 45.1%

AWS Rekognition

Age 18-30
Gender Male, 50%
Angry 49.9%
Sad 49.5%
Happy 49.5%
Calm 49.5%
Surprised 49.5%
Fear 49.5%
Confused 49.5%
Disgusted 50%

AWS Rekognition

Age 13-23
Gender Male, 50.5%
Fear 49.5%
Calm 50%
Surprised 49.5%
Sad 49.5%
Confused 49.5%
Disgusted 49.5%
Happy 49.9%
Angry 49.5%

AWS Rekognition

Age 13-23
Gender Female, 50.1%
Fear 49.9%
Disgusted 49.5%
Sad 50%
Angry 49.5%
Calm 49.6%
Happy 49.5%
Surprised 49.5%
Confused 49.5%

AWS Rekognition

Age 30-46
Gender Female, 50.2%
Angry 49.7%
Disgusted 49.5%
Calm 50.1%
Fear 49.5%
Happy 49.6%
Surprised 49.6%
Sad 49.6%
Confused 49.5%

AWS Rekognition

Age 18-30
Gender Female, 50.3%
Happy 49.6%
Calm 50%
Angry 49.5%
Disgusted 49.5%
Fear 49.7%
Sad 49.7%
Confused 49.6%
Surprised 49.5%

AWS Rekognition

Age 18-30
Gender Male, 54.3%
Happy 45%
Calm 54.8%
Sad 45%
Disgusted 45%
Fear 45%
Surprised 45%
Angry 45%
Confused 45%

AWS Rekognition

Age 4-12
Gender Male, 50.1%
Fear 49.5%
Angry 49.5%
Confused 49.6%
Disgusted 49.5%
Happy 49.5%
Calm 50.1%
Sad 49.8%
Surprised 49.5%

AWS Rekognition

Age 4-12
Gender Male, 50.3%
Sad 49.6%
Angry 49.5%
Surprised 49.5%
Disgusted 49.5%
Happy 49.5%
Calm 50.4%
Fear 49.5%
Confused 49.5%

AWS Rekognition

Age 5-15
Gender Male, 50.4%
Fear 49.7%
Calm 49.5%
Confused 49.5%
Surprised 49.5%
Angry 50%
Happy 49.5%
Disgusted 49.6%
Sad 49.6%

AWS Rekognition

Age 24-38
Gender Male, 54.1%
Surprised 52.9%
Confused 45.4%
Happy 45.6%
Angry 45.2%
Calm 45.2%
Fear 45.5%
Disgusted 45.1%
Sad 45.1%

AWS Rekognition

Age 20-32
Gender Male, 50.1%
Calm 49.9%
Happy 49.6%
Angry 49.9%
Confused 49.5%
Fear 49.5%
Disgusted 49.6%
Surprised 49.5%
Sad 49.6%

AWS Rekognition

Age 13-25
Gender Male, 50.4%
Angry 49.5%
Happy 49.7%
Calm 50.2%
Confused 49.5%
Fear 49.5%
Sad 49.5%
Surprised 49.5%
Disgusted 49.5%

AWS Rekognition

Age 28-44
Gender Female, 53.2%
Fear 45.7%
Disgusted 45.2%
Sad 45.2%
Angry 52.4%
Calm 45.5%
Confused 45.2%
Happy 45.5%
Surprised 45.4%

AWS Rekognition

Age 24-38
Gender Male, 50.3%
Angry 49.5%
Sad 49.5%
Happy 49.5%
Surprised 49.5%
Confused 49.5%
Disgusted 49.5%
Calm 50.5%
Fear 49.5%

AWS Rekognition

Age 43-61
Gender Female, 50.2%
Fear 45.2%
Disgusted 45%
Sad 45.2%
Confused 45%
Calm 54.4%
Happy 45.1%
Surprised 45.1%
Angry 45%

AWS Rekognition

Age 34-50
Gender Male, 53.8%
Surprised 45.3%
Angry 50.5%
Disgusted 45.2%
Happy 45%
Sad 45.9%
Calm 45.5%
Confused 46.9%
Fear 45.7%

AWS Rekognition

Age 16-28
Gender Male, 54.1%
Angry 46.5%
Disgusted 45.4%
Surprised 47.2%
Fear 46%
Calm 48%
Happy 46%
Sad 45.3%
Confused 45.5%

AWS Rekognition

Age 20-32
Gender Male, 50.3%
Calm 50.1%
Disgusted 49.5%
Happy 49.6%
Surprised 49.7%
Sad 49.5%
Confused 49.6%
Fear 49.5%
Angry 49.5%

AWS Rekognition

Age 14-26
Gender Female, 51.1%
Calm 46%
Confused 45.2%
Angry 50.8%
Happy 45.1%
Fear 45.4%
Disgusted 47.1%
Surprised 45.1%
Sad 45.3%

AWS Rekognition

Age 14-26
Gender Male, 54.6%
Confused 45%
Surprised 53.1%
Fear 45.1%
Angry 45.2%
Happy 45%
Sad 45%
Disgusted 45%
Calm 46.5%

AWS Rekognition

Age 1-7
Gender Male, 50.4%
Surprised 49.6%
Fear 49.5%
Confused 49.5%
Disgusted 49.5%
Calm 50.4%
Angry 49.5%
Happy 49.5%
Sad 49.5%

AWS Rekognition

Age 14-26
Gender Male, 50.3%
Happy 45.1%
Surprised 45.3%
Sad 48.3%
Calm 50.2%
Disgusted 45%
Fear 45.1%
Confused 45.2%
Angry 45.9%

Feature analysis

Amazon

Person 97.9%
Painting 83.1%

Captions

Microsoft
created on 2020-04-24

a vintage photo of a man 83.5%

Text analysis

Amazon

Ita