Human Generated Data

Title

Sa`di's Visit to an Indian Temple (painting, recto), Text (verso), folio 119 from a Manuscript of the Bustan by Sa`di, Written for Sultan `Abd al-`Aziz (1540-50), Overpainting attributed to Bishndas for the Mughal Emperor Jahangir (r. 1605-27)
Date

1531-1532 (text); c. 1540 and c. 1620 (painting)
People

Artist: Shaykh Zada, Persian active 1st half of 16th century

Artist: Bishndas, Mughal active early 17th century

Artist: Mir ‘Ali al-Husayni, Uzbek active 1st half of 16th century
Classification

Manuscripts
Credit Line

Harvard Art Museums/Arthur M. Sackler Museum, Gift of Philip Hofer in memory of Frances L. Hofer, 1979.20.119

Human Generated Data

Title

Sa`di's Visit to an Indian Temple (painting, recto), Text (verso), folio 119 from a Manuscript of the Bustan by Sa`di, Written for Sultan `Abd al-`Aziz (1540-50), Overpainting attributed to Bishndas for the Mughal Emperor Jahangir (r. 1605-27)

People

Artist: Shaykh Zada, Persian active 1st half of 16th century

Artist: Bishndas, Mughal active early 17th century

Artist: Mir ‘Ali al-Husayni, Uzbek active 1st half of 16th century

Date

1531-1532 (text); c. 1540 and c. 1620 (painting)

Classification

Manuscripts

Credit Line

Harvard Art Museums/Arthur M. Sackler Museum, Gift of Philip Hofer in memory of Frances L. Hofer, 1979.20.119

Machine Generated Data

Tags

Amazon
created on 2019-04-06

Human 94.9
Person 94.9
Art 94.8
Person 86.6
Person 83.1
Tile 79.2
Painting 76.2
Person 70.3
Mosaic 70.3
Person 67.7
Person 65.8
Person 64.1
Rug 63.8
Person 62.2
Floor 59.7
Person 49.1
Person 44.7

Clarifai
created on 2018-04-19

art 99.6
painting 99.5
religion 98.7
old 98.3
antique 97.9
mosaic 97.2
church 97.1
ancient 97.1
illustration 96.3
print 96.3
decoration 96.1
architecture 95.6
vintage 94.6
saint 94.4
retro 93.4
symbol 92.8
manuscript 92.6
historic 92.3
wall 92.1
god 91.6

Imagga
created on 2018-04-19

prayer rug 100
rug 100
floor cover 79.7
furnishing 79.4
covering 53.1
vintage 43
old 36.9
art 33.1
retro 30.3
ancient 29.4
grunge 26.4
stamp 26.1
antique 26
texture 25.7
mail 24.9
mosaic 24.6
postage 24.6
postmark 23.7
letter 22.9
postal 21.6
post 21
religion 20.6
paper 18.8
aged 17.2
pattern 17.1
decoration 15.5
culture 15.4
design 14.6
painted 14.3
church 13.9
envelope 13.9
philately 13.8
historic 13.8
paint 13.6
collection 13.5
icon 13.5
architecture 13.3
printed 12.8
frame 12.5
obsolete 12.5
wall 12
canceled 11.9
stamps 11.8
traditional 11.6
used 11.5
gold 11.5
colorful 11.5
style 11.1
color 11.1
close 10.8
shows 10.8
delivery 10.7
stained 10.6
travel 10.6
parchment 10.6
unique 10.4
religious 10.3
brown 10.3
artwork 10.1
global 10
dirty 9.9
tile 9.9
interior 9.7
transducer 9.7
artistic 9.6
card 9.4
east 9.3
border 9
history 8.9
material 8.9
painter 8.9
masterpiece 8.9
circa 8.9
temple 8.9
renaissance 8.8
office 8.8
sacred 8.8
symbol 8.8
museum 8.7
letters 8.7
cutting 8.7
communications 8.6
ornament 8.6
weathered 8.5
grungy 8.5
oriental 8.5
communication 8.4
yellow 8
surface 7.9
philatelic 7.9
jigsaw puzzle 7.9
known 7.9
textured 7.9
paintings 7.8
entrance 7.7
saint 7.7
worn 7.6
rusty 7.6
door 7.6
structure 7.4
electrical device 7.3
detail 7.2

Google
created on 2018-04-19

art 79.1
miniature 70.9
history 67.9
picture frame 65.7
middle ages 63.3
artwork 58.6
painting 57.2

Microsoft
created on 2018-04-19

decorated 39.3
painting 17

Color Analysis

Face analysis

Amazon

Google

AWS Rekognition

Age 35-52
Gender Male, 52.3%
Sad 48.6%
Disgusted 45.5%
Angry 45.6%
Happy 45.9%
Calm 48.5%
Surprised 45.6%
Confused 45.2%

AWS Rekognition

Age 20-38
Gender Male, 53%
Sad 46%
Surprised 45.3%
Angry 45.5%
Happy 45.7%
Calm 51.4%
Confused 45.3%
Disgusted 45.9%

AWS Rekognition

Age 26-43
Gender Male, 53%
Disgusted 45.5%
Angry 45.3%
Happy 45.5%
Sad 45.4%
Confused 45.1%
Calm 52.9%
Surprised 45.3%

AWS Rekognition

Age 26-43
Gender Male, 55%
Surprised 45.1%
Sad 45.6%
Confused 45.2%
Calm 52%
Disgusted 45.1%
Angry 46.9%
Happy 45.1%

AWS Rekognition

Age 26-43
Gender Male, 53.9%
Disgusted 46%
Happy 46.2%
Angry 50.6%
Calm 45.8%
Sad 45.8%
Surprised 45.1%
Confused 45.5%

AWS Rekognition

Age 6-13
Gender Male, 51.2%
Calm 51.4%
Happy 45.9%
Surprised 45.6%
Sad 45.6%
Disgusted 45.7%
Angry 45.4%
Confused 45.4%

AWS Rekognition

Age 10-15
Gender Male, 52.1%
Angry 45.3%
Surprised 45.2%
Calm 53.5%
Disgusted 45.2%
Sad 45.5%
Happy 45.1%
Confused 45.2%

AWS Rekognition

Age 35-52
Gender Male, 54.7%
Angry 45.9%
Sad 45.5%
Confused 45.3%
Happy 46.1%
Disgusted 45.5%
Surprised 45.5%
Calm 51.3%

AWS Rekognition

Age 26-43
Gender Male, 54.8%
Angry 45.7%
Happy 45.1%
Surprised 45.4%
Sad 45.5%
Disgusted 47.9%
Confused 45.6%
Calm 49.9%

AWS Rekognition

Age 20-38
Gender Female, 51.1%
Confused 45.3%
Sad 49.5%
Happy 46.7%
Disgusted 45.2%
Calm 47.4%
Surprised 45.4%
Angry 45.4%

AWS Rekognition

Age 14-25
Gender Male, 54.3%
Angry 45.4%
Happy 45.3%
Disgusted 45.2%
Confused 45.1%
Surprised 45.2%
Sad 45.7%
Calm 53.2%

AWS Rekognition

Age 35-52
Gender Male, 54.6%
Confused 45%
Calm 54%
Disgusted 45%
Angry 45.6%
Happy 45%
Sad 45.2%
Surprised 45%

AWS Rekognition

Age 26-43
Gender Male, 54.8%
Confused 45.6%
Calm 51.2%
Disgusted 45.4%
Angry 45.7%
Happy 45.8%
Sad 46.2%
Surprised 45.3%

AWS Rekognition

Age 14-25
Gender Female, 50.4%
Angry 49.7%
Happy 49.5%
Confused 49.5%
Sad 50.1%
Surprised 49.5%
Calm 49.6%
Disgusted 49.5%

AWS Rekognition

Age 19-36
Gender Female, 53.4%
Calm 53.8%
Angry 45.2%
Surprised 45.2%
Happy 45.3%
Sad 45.2%
Disgusted 45.1%
Confused 45.1%

AWS Rekognition

Age 26-43
Gender Female, 52.5%
Happy 45.4%
Angry 45.7%
Disgusted 50.7%
Calm 45.5%
Surprised 45.4%
Sad 47.1%
Confused 45.2%

AWS Rekognition

Age 10-15
Gender Female, 50.4%
Happy 49.7%
Disgusted 49.6%
Calm 49.6%
Sad 50%
Angry 49.6%
Confused 49.5%
Surprised 49.6%

AWS Rekognition

Age 26-43
Gender Female, 50.1%
Confused 49.6%
Disgusted 49.6%
Angry 49.6%
Calm 49.8%
Sad 49.8%
Happy 49.6%
Surprised 49.6%

AWS Rekognition

Age 15-25
Gender Female, 53.4%
Angry 46%
Disgusted 46.5%
Calm 46.8%
Confused 45.8%
Surprised 46%
Happy 48.4%
Sad 45.5%

AWS Rekognition

Age 20-38
Gender Female, 50.3%
Calm 49.8%
Disgusted 49.6%
Surprised 49.5%
Angry 49.8%
Confused 49.5%
Sad 49.6%
Happy 49.6%

AWS Rekognition

Age 20-38
Gender Female, 50.1%
Confused 49.5%
Calm 49.6%
Happy 50.2%
Sad 49.5%
Disgusted 49.6%
Surprised 49.6%
Angry 49.6%

Google Vision

Surprise Very unlikely
Anger Very unlikely
Sorrow Very unlikely
Joy Very unlikely
Headwear Likely
Blurred Very unlikely

Google Vision

Surprise Very unlikely
Anger Very unlikely
Sorrow Very unlikely
Joy Very unlikely
Headwear Very unlikely
Blurred Very unlikely

Google Vision

Surprise Very unlikely
Anger Very unlikely
Sorrow Very unlikely
Joy Very unlikely
Headwear Very unlikely
Blurred Very unlikely

Google Vision

Surprise Very unlikely
Anger Very unlikely
Sorrow Very unlikely
Joy Very unlikely
Headwear Likely
Blurred Very unlikely

Google Vision

Surprise Very unlikely
Anger Very unlikely
Sorrow Very unlikely
Joy Very unlikely
Headwear Very unlikely
Blurred Very unlikely

Feature analysis

Amazon

Person 94.9%
Painting 76.2%
Rug 63.8%

Categories

Imagga

paintings art 99%
interior objects 1%

Captions

Microsoft
created on 2018-04-19

a painting on the wall 64.7%
a painting on a wall 63.5%
a painting hanging on a wall 63.4%

Text analysis

Amazon

0101010101010101010101010101010101010101000001
A000.1
ho