Human Generated Data

Title

Krishna kidnaps Rukmini, Bhagavata Purana Book Ten, Chapter 53 (painting, recto; text, verso), folio from a Bhagavata Purana series

Date

c. 1720 - 1730

People

-

Classification

Manuscripts

Credit Line

Harvard Art Museums/Arthur M. Sackler Museum, Gift of William G. Archer, 1958.121

Human Generated Data

Title

Krishna kidnaps Rukmini, Bhagavata Purana Book Ten, Chapter 53 (painting, recto; text, verso), folio from a Bhagavata Purana series

Date

c. 1720 - 1730

Classification

Manuscripts

Credit Line

Harvard Art Museums/Arthur M. Sackler Museum, Gift of William G. Archer, 1958.121

Machine Generated Data

Tags

Amazon
created on 2019-07-08

Mammal 94.5
Animal 94.5
Horse 94.5
Person 92.8
Human 92.8
Person 84.5
Person 78
Person 76
Person 75.1
Comics 72.8
Book 72.8
Horse 72.5
Person 71.9
Horse 70.8
Leisure Activities 68.4
Person 65.2
Person 64.8
Art 64
Person 62.9
Person 62.8
Circus 61.4
Person 59.8
Advertisement 58.1
Person 57.5
Text 55.6
Person 50
Person 43

Clarifai
created on 2019-07-08

illustration 99.2
vector 97.9
art 97.2
sketch 96.3
child 92.9
set 92.3
people 91.9
toy 91.4
painting 89.3
graphic 89.3
card 89.3
design 88.1
no person 87.3
travel 87.3
lid 87.2
retro 86.6
collection 86.5
vintage 86.4
wear 85.7
mammal 85.2

Imagga
created on 2019-07-08

box 92.6
chest 86.4
container 82.3
design 37.7
floral 34.9
art 33.9
pattern 33.5
decoration 31.1
pencil box 29.4
texture 26.4
wallpaper 26
flower 25.4
decorative 25.1
tray 22.2
retro 21.3
graphic 20.4
vintage 19.9
cotton 19.8
ornament 19
receptacle 18
frame 17.5
leaf 17.1
grunge 17
old 16
colorful 15.8
style 15.6
fabric 15.5
decor 15
traditional 15
gold 14.8
antique 14.7
card 14.6
color 14.5
element 14.1
backdrop 14
drawing 13.8
ornate 13.7
spring 13.3
textile 13.3
swirl 12.9
holiday 12.9
silhouette 12.4
ornamental 12.3
celebration 12
plant 11.9
paper 11.8
border 11.8
butterfly 11.6
curve 11.4
golden 11.2
culture 11.1
brown 11
elegance 10.9
paint 10.9
fashion 10.6
artistic 10.4
ancient 10.4
summer 10.3
foliage 10.1
banner 10.1
yellow 9.9
tile 9.5
season 9.4
cover 9.3
modern 9.1
material 8.9
shape 8.9
cartoon 8.9
natural 8.7
gift 8.6
scroll 8.6
curl 8.6
orange 8.4
symbol 8.1
interior 8
creative 7.9
elegant 7.7
wall 7.7
seamless 7.6
bird 7.4
elements 7.4
clip art 7.4
history 7.2
bright 7.2
paisley 7.1

Google
created on 2019-07-08

Art 78.6
Painting 61.3

Microsoft
created on 2019-07-08

cartoon 99.3
covered 95.8
horse 94.2
illustration 89.8
many 83.9
queen 77.4
comic 71.7
colorful 66.4
person 61.1
bunch 56
various 43.7
decorated 36
different 34.9
several 22.7
painted 22.6

Color Analysis

Face analysis

Amazon

AWS Rekognition

Age 20-38
Gender Male, 50.5%
Calm 53%
Surprised 45.3%
Disgusted 45.1%
Sad 45.4%
Happy 45.7%
Angry 45.3%
Confused 45.2%

AWS Rekognition

Age 35-52
Gender Female, 50.4%
Surprised 49.5%
Confused 49.5%
Calm 49.5%
Sad 50.3%
Happy 49.6%
Disgusted 49.5%
Angry 49.6%

AWS Rekognition

Age 26-43
Gender Male, 50.4%
Angry 49.6%
Sad 50%
Disgusted 49.6%
Calm 49.6%
Confused 49.6%
Happy 49.5%
Surprised 49.5%

AWS Rekognition

Age 27-44
Gender Male, 50%
Sad 50.3%
Angry 49.5%
Surprised 49.5%
Confused 49.5%
Disgusted 49.5%
Happy 49.6%
Calm 49.5%

AWS Rekognition

Age 17-27
Gender Female, 50.5%
Angry 49.7%
Sad 49.6%
Confused 49.5%
Disgusted 49.7%
Surprised 49.6%
Happy 49.8%
Calm 49.5%

AWS Rekognition

Age 26-43
Gender Male, 50.1%
Confused 49.5%
Happy 49.5%
Surprised 49.5%
Angry 49.9%
Calm 49.9%
Sad 49.7%
Disgusted 49.5%

AWS Rekognition

Age 26-43
Gender Male, 50%
Sad 49.8%
Disgusted 49.5%
Angry 49.6%
Confused 49.6%
Happy 49.6%
Surprised 49.6%
Calm 49.9%

AWS Rekognition

Age 23-38
Gender Male, 50.1%
Disgusted 49.6%
Confused 49.6%
Sad 49.9%
Happy 49.5%
Surprised 49.6%
Calm 49.6%
Angry 49.6%

AWS Rekognition

Age 35-52
Gender Female, 50.4%
Confused 49.5%
Angry 49.7%
Surprised 49.5%
Happy 49.9%
Calm 49.5%
Disgusted 49.7%
Sad 49.6%

AWS Rekognition

Age 14-23
Gender Male, 50.1%
Angry 49.5%
Calm 50.2%
Happy 49.5%
Disgusted 49.6%
Confused 49.5%
Sad 49.5%
Surprised 49.6%

AWS Rekognition

Age 20-38
Gender Female, 50.2%
Happy 49.5%
Surprised 49.5%
Confused 49.5%
Calm 49.5%
Disgusted 50.2%
Sad 49.5%
Angry 49.6%

AWS Rekognition

Age 20-38
Gender Female, 50.5%
Happy 49.9%
Confused 49.5%
Disgusted 49.5%
Sad 49.8%
Surprised 49.6%
Angry 49.7%
Calm 49.5%

AWS Rekognition

Age 26-43
Gender Female, 50.2%
Angry 49.6%
Sad 49.7%
Surprised 49.6%
Disgusted 49.5%
Happy 49.8%
Calm 49.9%
Confused 49.5%

AWS Rekognition

Age 16-27
Gender Male, 51.1%
Calm 47.2%
Angry 45.9%
Surprised 45.7%
Confused 46.3%
Happy 45.3%
Sad 48.2%
Disgusted 46.5%

AWS Rekognition

Age 26-43
Gender Female, 50.1%
Surprised 49.5%
Calm 49.5%
Happy 49.6%
Disgusted 49.5%
Sad 50.3%
Angry 49.6%
Confused 49.5%

AWS Rekognition

Age 14-25
Gender Female, 50.2%
Sad 50.1%
Angry 49.6%
Surprised 49.5%
Confused 49.6%
Disgusted 49.6%
Calm 49.6%
Happy 49.5%

AWS Rekognition

Age 26-43
Gender Female, 50.5%
Happy 49.6%
Disgusted 49.5%
Confused 49.7%
Sad 49.7%
Calm 49.9%
Surprised 49.6%
Angry 49.5%

Feature analysis

Amazon

Horse 94.5%
Person 92.8%

Categories

Imagga

interior objects 82.6%
text visuals 10.2%
food drinks 4.7%

Captions