Human Generated Data

Title

Krishna confers with Balarama

Date

c. 1780

People

-

Classification

Paintings

Credit Line

Harvard Art Museums/Arthur M. Sackler Museum, Gift of Mr. and Mrs. Peter Bienstock, 1974.115

Human Generated Data

Title

Krishna confers with Balarama

Date

c. 1780

Classification

Paintings

Credit Line

Harvard Art Museums/Arthur M. Sackler Museum, Gift of Mr. and Mrs. Peter Bienstock, 1974.115

Machine Generated Data

Tags

Amazon
created on 2019-10-30

Art 94.7
Painting 84.9
Human 83.7
Person 83.7
Person 79.8
Person 77.6
Person 74.9
Person 67.3
Drawing 57.2
Advertisement 55

Clarifai
created on 2019-10-30

illustration 98.8
people 97.4
art 96.7
painting 94.5
child 93.1
woman 92.7
print 90.4
group 87.5
wear 86.5
man 85.7
travel 85.1
landscape 82.3
tourism 82.2
adult 81.6
street 81.5
outdoors 80
fun 79.8
vintage 79.6
family 79.6
recreation 78.7

Imagga
created on 2019-10-30

envelope 47.6
container 46.4
pillow 32.3
card 25.5
cushion 25.4
vintage 24
old 21.6
paper 21.2
flag 21.1
mail 21
retro 19.7
stamp 19.3
padding 19.1
currency 18.8
letter 18.3
postmark 17.7
postage 17.7
ancient 17.3
money 17
pencil box 16.8
postal 16.7
box 16.7
emblem 15.1
philately 14.8
circa 14.8
art 13.7
aged 13.6
finance 13.5
message 12.8
tray 12.4
cash 11.9
decoration 11.9
bill 11.4
design 11.3
economy 11.1
frame 11.1
pattern 10.9
printed 10.8
address 10.8
bank 10.7
business 10.3
greeting 10.2
colorful 10
shows 9.8
celebration 9.6
receptacle 9.2
note 9.2
bag 9
post office 8.9
payment 8.6
table 8.6
communication 8.4
financial 8
holiday 7.9
banknotes 7.8
color 7.8
banknote 7.8
exchange 7.6
post 7.6
symbol 7.4
banking 7.3
group 7.2
world 7.2
collection 7.2
wealth 7.2
apron 7.1

Google
created on 2019-10-30

Painting 84.9
Art 76.7
Miniature 68.1
Illustration 60.2
House 53.7

Microsoft
created on 2019-10-30

cartoon 99.2
child art 97.3
painting 95.4
drawing 93.7
illustration 88.9
text 77.7
poster 68.9
person 59.6

Color Analysis

Face analysis

Amazon

AWS Rekognition

Age 13-25
Gender Female, 54.5%
Calm 47.3%
Sad 45.3%
Disgusted 45.1%
Surprised 45.1%
Happy 49.5%
Angry 47.4%
Fear 45.3%
Confused 45.1%

AWS Rekognition

Age 13-25
Gender Male, 54.5%
Disgusted 45.2%
Sad 45%
Happy 49.5%
Angry 50.1%
Fear 45%
Surprised 45.1%
Calm 45.2%
Confused 45%

AWS Rekognition

Age 18-30
Gender Male, 54.8%
Sad 45.8%
Disgusted 45.1%
Angry 46.7%
Fear 45.1%
Surprised 45.2%
Confused 45.1%
Happy 48%
Calm 49%

AWS Rekognition

Age 29-45
Gender Male, 54.6%
Fear 45%
Happy 45%
Surprised 45%
Calm 46.4%
Confused 53.2%
Disgusted 45%
Sad 45.3%
Angry 45%

AWS Rekognition

Age 34-50
Gender Female, 52%
Sad 46.7%
Fear 46.3%
Angry 46.9%
Disgusted 45.6%
Surprised 45.8%
Calm 46.2%
Confused 45.3%
Happy 47.2%

AWS Rekognition

Age 2-8
Gender Male, 53.8%
Fear 45.3%
Happy 45.1%
Confused 45.1%
Surprised 45.2%
Sad 45.8%
Angry 50%
Calm 48.4%
Disgusted 45.1%

AWS Rekognition

Age 45-63
Gender Female, 50.5%
Fear 45.1%
Sad 45.8%
Disgusted 45.2%
Happy 45.1%
Angry 45.2%
Confused 45.2%
Surprised 45.3%
Calm 52.9%

Feature analysis

Amazon

Person 83.7%

Categories

Imagga

interior objects 76.9%
food drinks 21.2%