Human Generated Data

Title

Balarama Destroys Shishupala’s Army
Date

c. 1760-1770
People

-
Classification

Paintings
Credit Line

Harvard Art Museums/Arthur M. Sackler Museum, Gifts for Special Uses Fund, 1960.158

Human Generated Data

Title

Balarama Destroys Shishupala’s Army

Date

c. 1760-1770

Classification

Paintings

Credit Line

Harvard Art Museums/Arthur M. Sackler Museum, Gifts for Special Uses Fund, 1960.158

Machine Generated Data

Tags

Amazon
created on 2019-05-22

Art 97.8
Mural 95.6
Human 81.8
Person 78.8
Drawing 76.7
Doodle 73.8
Rug 69.4
Modern Art 56.7
Painting 53.8

Clarifai
created on 2019-05-22

illustration 99.6
art 97.5
vector 95.3
design 92.3
painting 91.1
print 90.1
sketch 88.9
people 87.4
graphic 87.2
artistic 85.3
decoration 84.4
woman 83.6
bird 82.4
retro 82.4
scribble 81.4
fun 81.3
man 81
desktop 79.8
vintage 79
pattern 78.4

Imagga
created on 2019-05-22

graffito 49.7
decoration 45.8
tray 38.4
receptacle 31.1
container 28.4
retro 27
design 25.4
art 23
vintage 21.5
texture 20.8
pattern 20.5
graphic 20.4
old 20.2
cotton 19.4
grunge 18.7
wallpaper 16.8
colorful 15.8
paper 15.7
card 14.4
frame 14.1
floral 13.6
color 12.2
antique 12.1
shape 11.9
gold 11.5
decor 11.5
symbol 11.4
map 10.8
black 10.8
flower 10.8
world 10.6
flowers 10.4
decorative 10
travel 9.9
modern 9.8
colors 9.7
drawing 9.6
blackboard 9.4
element 9.1
paint 9.1
border 9
dirty 9
textured 8.8
artistic 8.7
leaf 8.6
wall 8.6
unique 8.5
traditional 8.3
artwork 8.2
rough 8.2
style 8.2
painting 8.1
holiday 7.9
text 7.9
scrapbook 7.8
geography 7.7
city 7.5
plant 7.5
silhouette 7.4
vivid 7.4
bright 7.1
game 7.1

Google
created on 2019-05-22

Painting 92.6
Modern art 87.8
Art 87.1
Visual arts 68.6
Poster 67.4
Illustration 54.5
Still life 54.5

Microsoft
created on 2019-05-22

cartoon 99.4
drawing 97.1
child art 94.2
text 94.2
illustration 90.2
art 84.7
poster 75
painting 16.1

Color Analysis

Face analysis

Amazon

AWS Rekognition

Age 20-38
Gender Male, 54.8%
Confused 45.4%
Sad 46.8%
Disgusted 45.4%
Angry 45.7%
Surprised 45.6%
Calm 49.7%
Happy 46.4%

AWS Rekognition

Age 15-25
Gender Female, 52%
Surprised 45.5%
Disgusted 45.4%
Happy 45.2%
Confused 45.3%
Angry 47.8%
Calm 48.4%
Sad 47.5%

AWS Rekognition

Age 6-13
Gender Female, 52%
Sad 46.1%
Calm 46.1%
Disgusted 45.2%
Confused 45.4%
Angry 46.8%
Happy 49.3%
Surprised 46.1%

AWS Rekognition

Age 15-25
Gender Female, 52.5%
Angry 45.7%
Happy 46%
Disgusted 50.7%
Confused 45.3%
Sad 45.6%
Calm 45.9%
Surprised 45.7%

AWS Rekognition

Age 14-23
Gender Male, 52.9%
Calm 45.1%
Disgusted 45.7%
Surprised 45.9%
Sad 45.3%
Happy 49.2%
Confused 45.2%
Angry 48.6%

AWS Rekognition

Age 45-63
Gender Female, 52.4%
Confused 45.5%
Happy 45.6%
Angry 48.4%
Sad 46.7%
Surprised 45.5%
Calm 46.1%
Disgusted 47.3%

AWS Rekognition

Age 38-57
Gender Male, 50.4%
Angry 49.6%
Happy 49.5%
Sad 49.8%
Surprised 49.5%
Confused 49.5%
Disgusted 49.5%
Calm 50.1%

AWS Rekognition

Age 26-43
Gender Female, 50.6%
Angry 46.2%
Calm 45.1%
Disgusted 47.2%
Happy 45.6%
Confused 45.3%
Surprised 45.3%
Sad 50.4%

AWS Rekognition

Age 26-43
Gender Male, 53.5%
Sad 49.6%
Calm 47.8%
Disgusted 45.1%
Confused 45.6%
Angry 46.4%
Happy 45.1%
Surprised 45.4%

AWS Rekognition

Age 19-36
Gender Female, 51.3%
Happy 46.3%
Surprised 45.7%
Sad 48.1%
Confused 45.4%
Disgusted 45.5%
Angry 47.3%
Calm 46.6%

AWS Rekognition

Age 20-38
Gender Female, 51.2%
Surprised 45.2%
Angry 45.7%
Happy 45.8%
Confused 45.1%
Disgusted 52.7%
Calm 45.2%
Sad 45.2%

AWS Rekognition

Age 26-43
Gender Male, 53.6%
Sad 46.3%
Confused 45.7%
Surprised 46.8%
Happy 45.4%
Angry 46%
Disgusted 45.4%
Calm 49.2%

AWS Rekognition

Age 20-38
Gender Female, 53.7%
Disgusted 45.5%
Happy 48.8%
Calm 45.6%
Confused 45.7%
Surprised 45.9%
Angry 45.7%
Sad 47.7%

AWS Rekognition

Age 17-27
Gender Male, 50.3%
Happy 49.5%
Surprised 49.5%
Calm 50.1%
Sad 49.8%
Disgusted 49.5%
Angry 49.5%
Confused 49.5%

AWS Rekognition

Age 26-43
Gender Male, 53.2%
Disgusted 45.8%
Confused 45.3%
Surprised 45.4%
Calm 46.1%
Happy 46%
Angry 48.9%
Sad 47.6%

AWS Rekognition

Age 35-53
Gender Male, 50.3%
Disgusted 49.6%
Angry 49.6%
Happy 49.5%
Calm 49.6%
Confused 49.6%
Sad 50.1%
Surprised 49.5%

AWS Rekognition

Age 35-52
Gender Female, 50.3%
Surprised 45.1%
Angry 45.4%
Sad 45.6%
Calm 45%
Happy 45.1%
Confused 45.2%
Disgusted 53.5%

AWS Rekognition

Age 49-69
Gender Male, 50%
Happy 49.6%
Surprised 49.8%
Calm 49.6%
Sad 49.8%
Disgusted 49.6%
Angry 49.6%
Confused 49.6%

Feature analysis

Amazon

Person 78.8%
Rug 69.4%
Painting 53.8%

Categories

Imagga

paintings art 49.3%
food drinks 41.3%
text visuals 7.3%

Captions

Microsoft
created on 2019-05-22

a graffiti covered wall 45%
graffiti on a wall 39%
a close up of a graffiti covered wall 38.9%