Human Generated Data

Title

Burzuy Brings Nushirvan the Book of Kalila and Dimna (painting, recto; text, verso), Illustrated folio from a manuscript of the Shahnama by Firdawsi
Date

late 16th - early 17th century
People

-
Classification

Manuscripts
Credit Line

Harvard Art Museums/Arthur M. Sackler Museum, The Norma Jean Calderwood Collection of Islamic Art, 2002.50.5

Human Generated Data

Title

Burzuy Brings Nushirvan the Book of Kalila and Dimna (painting, recto; text, verso), Illustrated folio from a manuscript of the Shahnama by Firdawsi

Date

late 16th - early 17th century

Classification

Manuscripts

Credit Line

Harvard Art Museums/Arthur M. Sackler Museum, The Norma Jean Calderwood Collection of Islamic Art, 2002.50.5

Machine Generated Data

Tags

Amazon
created on 2019-07-26

Rug 90
Art 86.5
Ornament 84.2
Tapestry 84.2
Human 83.9
Person 83.9
Person 81.5
Person 76.8
Person 75
Person 73.5
Quilt 68
Person 60.4
Painting 59.6
Person 42.5

Clarifai
created on 2019-07-26

art 98.6
decoration 97.1
retro 95.3
pattern 94.8
illustration 94.1
picture frame 94
vintage 93.6
painting 93.6
antique 93.1
card 92.7
religion 92.4
traditional 92.4
design 91.5
desktop 91.4
old 90.7
style 89.8
ancient 89.6
culture 88.4
ornate 88.1
paper 86.8

Imagga
created on 2019-07-26

vintage 44.7
prayer rug 40.4
stamp 35.8
old 35.5
mail 34.5
rug 33.2
postage 32.4
retro 32
bookmark 31.2
mosaic 30
postmark 29.6
art 28.2
letter 26.6
postal 26.5
post 25.8
floor cover 25.6
furnishing 24.3
ancient 24.2
paper 22.7
antique 22.7
philately 19.7
grunge 19.6
texture 19.5
covering 19.1
aged 19
global 18.2
envelope 18.2
pattern 17.1
stamps 16.8
culture 16.2
printed 15.7
collection 15.3
circa 14.8
shows 14.8
tile 14.3
unique 14.2
design 14.1
religion 13.4
history 13.4
transducer 12.4
delivery 11.7
cutting 11.6
communications 11.5
icon 11.1
philatelic 10.9
symbol 10.8
painted 10.5
church 10.2
message 10
paint 10
canceled 9.9
collect 9.8
letters 9.7
used 9.6
decoration 9.6
worn 9.5
color 9.5
electrical device 9.3
frame 9.3
border 9
map 8.8
parchment 8.6
blank 8.6
card 8.5
traditional 8.3
artwork 8.2
one 8.2
world 8
painter 8
zigzag 7.9
masterpiece 7.9
correspondence 7.8
paintings 7.8
torn 7.7
country 7.7
stained 7.7
container 7.7
international 7.6
grungy 7.6
brown 7.4
historic 7.3
device 7.3
surface 7.1

Google
created on 2019-07-26

Art 82
Painting 75.7
Miniature 74.3
Illustration 71
History 66.1
Textile 65.6

Microsoft
created on 2019-07-26

cartoon 95.8
indoor 91.1
book 88.2
poster 86.7
person 85.3
text 71.1
clothing 68.1
illustration 67
child art 50.6
decorated 49.2
room 47.8
colorful 28.4
painted 21.3
painting 18.2
several 17.6

Color Analysis

Face analysis

Amazon

AWS Rekognition

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

AWS Rekognition

Age 35-52
Gender Male, 50.4%
Sad 49.6%
Surprised 49.5%
Disgusted 49.5%
Angry 49.6%
Confused 49.6%
Calm 50.2%
Happy 49.5%

AWS Rekognition

Age 20-38
Gender Male, 50.2%
Calm 49.7%
Happy 50.2%
Confused 49.5%
Surprised 49.5%
Sad 49.5%
Disgusted 49.5%
Angry 49.5%

AWS Rekognition

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

AWS Rekognition

Age 20-38
Gender Female, 50.2%
Happy 49.5%
Surprised 49.5%
Angry 49.6%
Confused 49.5%
Calm 50.3%
Sad 49.6%
Disgusted 49.5%

AWS Rekognition

Age 23-38
Gender Female, 50.5%
Disgusted 50.1%
Sad 49.6%
Angry 49.7%
Confused 49.5%
Surprised 49.5%
Happy 49.5%
Calm 49.6%

AWS Rekognition

Age 45-63
Gender Female, 50.5%
Disgusted 49.7%
Calm 49.5%
Angry 49.7%
Surprised 49.6%
Confused 49.5%
Sad 49.7%
Happy 49.8%

AWS Rekognition

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

AWS Rekognition

Age 11-18
Gender Male, 50.4%
Happy 49.5%
Confused 49.5%
Angry 49.5%
Calm 50.3%
Disgusted 49.5%
Surprised 49.5%
Sad 49.6%

AWS Rekognition

Age 15-25
Gender Male, 50.1%
Sad 49.8%
Calm 49.9%
Surprised 49.6%
Confused 49.5%
Disgusted 49.6%
Angry 49.6%
Happy 49.5%

AWS Rekognition

Age 26-43
Gender Male, 50.2%
Happy 49.5%
Confused 49.6%
Surprised 49.6%
Calm 49.6%
Disgusted 49.5%
Sad 50%
Angry 49.6%

AWS Rekognition

Age 26-43
Gender Male, 50.5%
Surprised 49.5%
Calm 49.6%
Confused 50.1%
Sad 49.6%
Happy 49.5%
Angry 49.6%
Disgusted 49.5%

AWS Rekognition

Age 19-36
Gender Female, 50.3%
Angry 49.6%
Calm 49.6%
Happy 50.2%
Confused 49.5%
Disgusted 49.6%
Sad 49.5%
Surprised 49.5%

AWS Rekognition

Age 20-38
Gender Female, 50.3%
Confused 49.5%
Angry 49.6%
Disgusted 49.6%
Calm 49.5%
Happy 50.1%
Surprised 49.5%
Sad 49.5%

AWS Rekognition

Age 17-27
Gender Male, 54.5%
Disgusted 45.4%
Surprised 45.6%
Confused 46.4%
Sad 50.3%
Angry 45.5%
Happy 45.5%
Calm 46.4%

AWS Rekognition

Age 17-27
Gender Male, 50.1%
Confused 49.5%
Angry 49.7%
Happy 49.6%
Disgusted 49.6%
Sad 49.7%
Surprised 49.6%
Calm 49.9%

AWS Rekognition

Age 45-66
Gender Female, 54.2%
Sad 46.5%
Surprised 48%
Angry 47.5%
Calm 45.5%
Confused 45.7%
Disgusted 46%
Happy 45.8%

AWS Rekognition

Age 26-43
Gender Male, 50.4%
Disgusted 49.6%
Confused 49.5%
Angry 49.6%
Happy 49.7%
Sad 49.6%
Surprised 49.5%
Calm 50%

AWS Rekognition

Age 26-43
Gender Female, 50.4%
Sad 50.1%
Calm 49.6%
Angry 49.6%
Surprised 49.5%
Happy 49.6%
Disgusted 49.6%
Confused 49.6%

Feature analysis

Amazon

Rug 90%
Person 83.9%

Categories

Imagga

paintings art 98.1%
interior objects 1.7%

Captions

Microsoft
created on 2019-07-26

a painting hanging on a wall 76.6%
a painting on the wall 76.2%
a painting on a wall 75.1%

Text analysis

Amazon

ums.iz
0hs's
Eois
Eois B:
B:
OLP
OLP rir
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0hs's ums.iz 38
UO.e
38