Human Generated Data

Title

Ilahinama of `Attar (recto), Asrarnama of `Attar (verso), folio 3 from a Manuscript of Fragments of Mathnavis by `Attar and Nizami

Date

1423-1424

People

-

Classification

Manuscripts

Credit Line

Harvard Art Museums/Arthur M. Sackler Museum, Discretionary Fund of the Islamic Art Department, 1982.26.3

Human Generated Data

Title

Ilahinama of `Attar (recto), Asrarnama of `Attar (verso), folio 3 from a Manuscript of Fragments of Mathnavis by `Attar and Nizami

Date

1423-1424

Classification

Manuscripts

Credit Line

Harvard Art Museums/Arthur M. Sackler Museum, Discretionary Fund of the Islamic Art Department, 1982.26.3

Machine Generated Data

Tags

Amazon
created on 2019-04-06

Text 99.3
Page 96
Rug 78.2
Diary 67.1
Novel 57.7
Book 55.1

Clarifai
created on 2018-04-19

paper 97.4
vintage 95.4
document 95.2
old 94.8
antique 94.8
retro 94.5
print 93.8
art 93.4
text 93.2
no person 92.6
picture frame 92.3
book bindings 92.2
ancient 91.7
page 91.4
design 91.2
manuscript 90.9
desktop 90.9
decoration 89.4
pattern 88.1
illustration 88

Imagga
created on 2018-04-19

binding 84
old 50.2
vintage 44.9
antique 38.6
paper 38.4
texture 32.7
book 32
grunge 29.8
ancient 27.7
page 25.1
design 23.1
retro 23
letter 22.9
art 22.2
empty 21.5
aged 20.8
pattern 20.5
document 20.4
wallpaper 19.9
sheet 19.8
bookmark 19.1
rough 18.2
dirty 18.1
text 17.5
blank 17.2
cover 16.7
frame 16.7
arabesque 16.2
pages 15.6
brown 15.5
border 15.4
parchment 14.4
canvas 14.2
decoration 13.1
cardboard 12.5
aging 12.5
historic 11.9
history 11.6
stamp 11.6
wall 11.1
note 11
manuscript 10.8
religion 10.8
book jacket 10.7
material 10.7
gold 10.7
stained 10.6
backgrounds 10.6
damaged 10.5
prayer rug 10.4
jacket 10.3
decorative 10
color 10
decor 9.7
textured 9.6
covering 9.6
word 9.4
religious 9.4
rug 9.3
style 8.9
detail 8.9
surface 8.8
graphic 8.8
prayer 8.7
ornament 8.6
worn 8.6
rusty 8.6
writing 8.5
open 8.1
close 8
yellow 8
postmark 7.9
postage 7.9
bible 7.8
structure 7.8
museum 7.8
brass 7.7
culture 7.7
read 7.7
used 7.7
spiritual 7.7
mail 7.7
god 7.7
age 7.6
grungy 7.6
print 7.5
wood 7.5
backdrop 7.4
journal 7.4
ornate 7.3
paint 7.3

Google
created on 2018-04-19

text 95
font 73.8
history 73.1
book 63.6
calligraphy 57.1
miniature 55.7

Microsoft
created on 2018-04-19

text 97
plaque 49.1

Color Analysis

Face analysis

Amazon

AWS Rekognition

Age 26-43
Gender Female, 50.5%
Confused 49.5%
Calm 50.2%
Happy 49.6%
Sad 49.5%
Disgusted 49.6%
Surprised 49.6%
Angry 49.6%

AWS Rekognition

Age 26-43
Gender Female, 50%
Surprised 49.6%
Disgusted 49.9%
Angry 49.7%
Sad 49.6%
Happy 49.5%
Calm 49.7%
Confused 49.5%

AWS Rekognition

Age 20-38
Gender Male, 50.3%
Angry 49.5%
Calm 50.2%
Confused 49.5%
Disgusted 49.5%
Happy 49.5%
Sad 49.7%
Surprised 49.5%

AWS Rekognition

Age 29-45
Gender Female, 50.4%
Happy 49.5%
Angry 49.6%
Surprised 49.6%
Sad 49.6%
Confused 49.6%
Calm 49.8%
Disgusted 49.6%

AWS Rekognition

Age 45-63
Gender Female, 50.5%
Surprised 49.5%
Happy 49.6%
Calm 49.5%
Disgusted 49.5%
Sad 50.3%
Confused 49.5%
Angry 49.5%

AWS Rekognition

Age 20-38
Gender Female, 50.1%
Angry 49.5%
Confused 49.6%
Calm 49.7%
Happy 49.5%
Disgusted 49.6%
Sad 50%
Surprised 49.6%

AWS Rekognition

Age 15-25
Gender Female, 50.5%
Calm 49.9%
Disgusted 49.6%
Confused 49.6%
Surprised 49.6%
Angry 49.7%
Sad 49.6%
Happy 49.6%

AWS Rekognition

Age 26-43
Gender Male, 50%
Disgusted 49.6%
Happy 49.6%
Confused 49.6%
Calm 49.7%
Sad 49.8%
Surprised 49.6%
Angry 49.7%

AWS Rekognition

Age 26-43
Gender Female, 50.5%
Sad 49.5%
Disgusted 49.5%
Angry 49.5%
Happy 50.4%
Calm 49.5%
Surprised 49.5%
Confused 49.5%

AWS Rekognition

Age 38-57
Gender Male, 50.4%
Calm 49.9%
Disgusted 49.5%
Confused 49.5%
Surprised 49.6%
Angry 49.6%
Sad 49.7%
Happy 49.7%

AWS Rekognition

Age 4-9
Gender Male, 50.2%
Sad 50.1%
Calm 49.5%
Angry 49.5%
Confused 49.7%
Disgusted 49.5%
Happy 49.6%
Surprised 49.5%

AWS Rekognition

Age 23-38
Gender Male, 50.4%
Angry 49.6%
Sad 49.6%
Calm 50.1%
Happy 49.6%
Surprised 49.6%
Disgusted 49.6%
Confused 49.5%

Feature analysis

Amazon

Rug 78.2%
Book 55.1%

Categories

Text analysis

Amazon

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