Human Generated Data

Title

Pen Box with Shams-i Tabrizi Casting Rumi's Book into the Water
Date

c. 1861-1866
People

Artist: Abu'l-Hasan Ghaffari Naqqash-Bashi Sani` al-Mulk,

Classification

Artists' Tools
Credit Line

Harvard Art Museums/Arthur M. Sackler Museum, Gift of A. Soudavar in memory of his mother Ezzat-Malek Soudavar, 2014.341

Human Generated Data

Title

Pen Box with Shams-i Tabrizi Casting Rumi's Book into the Water

People

Artist: Abu'l-Hasan Ghaffari Naqqash-Bashi Sani` al-Mulk,

Date

c. 1861-1866

Classification

Artists' Tools

Machine Generated Data

Tags

Amazon
created on 2019-04-09

Human 97.2
Person 87.4
People 83.8
Sports 81.4
Sport 81.4
Weapon 76.1
Weaponry 76.1
Blade 74.7
Knife 65.5
Harmonica 63.3
Musical Instrument 63.3
Team Sport 57.2
Team 57.2
Hair Slide 55.5

Clarifai
created on 2018-02-10

art 98.6
texture 94.7
no person 94.6
retro 93.8
illustration 93.7
scribble 91.2
sausage 91
food 89.9
desktop 89.2
medicine 88.1
design 86.4
pattern 84.9
color 84.8
line 84
science 83
symbol 81.2
abstract 81
vintage 80.4
simple 78.3
decoration 78.1

Imagga
created on 2018-02-10

bangle 56.2
clip 43.3
fastener 40.9
restraint 27.9
food 19.6
device 19.3
object 17.6
close 17.1
fresh 15.7
diet 15.3
gold 14
meal 13.8
delicious 13.2
single 12.3
healthy 12
brown 11.8
nutrition 11.7
tasty 11.7
jewel 11.6
closeup 11.4
fashion 11.3
baked 11.2
golden 11.2
shiny 11.1
decoration 11
eat 10.9
wealth 10.8
breakfast 10.6
snack 10.2
gem 10.1
box 9.9
precious 9.7
metal 9.7
tool 9.4
luxury 9.4
paper 9.4
meat 9.3
bread 9.2
knife 9.2
container 9.2
health 9
cuisine 8.9
cooking 8.7
ring 8.7
wheat 8.6
dinner 8.4
black 8.4
elegance 8.4
grain 8.3
pepper 8.3
natural 8
yellow 7.9
nobody 7.8
diamond 7.7
jewelry 7.7
accessory 7.6
bakery 7.6
plate 7.6
hot 7.5
one 7.5
scabbard 7.3
currency 7.2
market 7.1

Google
created on 2018-02-10

product design 60.6

Face analysis

Amazon

AWS Rekognition

Age 20-38
Gender Female, 50.5%
Disgusted 49.6%
Confused 49.5%
Happy 49.5%
Angry 49.5%
Calm 50.3%
Surprised 49.6%
Sad 49.5%

AWS Rekognition

Age 14-23
Gender Female, 50.4%
Happy 49.6%
Disgusted 49.7%
Confused 49.5%
Angry 49.6%
Surprised 49.5%
Sad 49.6%
Calm 49.9%

AWS Rekognition

Age 26-43
Gender Female, 51.5%
Calm 48.1%
Happy 46%
Disgusted 45.1%
Confused 45.3%
Angry 45.7%
Sad 49.2%
Surprised 45.6%

AWS Rekognition

Age 48-68
Gender Female, 50.2%
Surprised 49.5%
Angry 49.5%
Disgusted 49.5%
Confused 49.5%
Happy 49.5%
Calm 49.5%
Sad 50.4%

AWS Rekognition

Age 57-77
Gender Male, 53.6%
Surprised 45.1%
Happy 45.1%
Disgusted 45.2%
Angry 45.2%
Confused 45.1%
Calm 53.9%
Sad 45.4%

AWS Rekognition

Age 35-52
Gender Female, 50.1%
Happy 49.6%
Disgusted 49.6%
Angry 49.6%
Calm 49.6%
Surprised 49.5%
Sad 50.1%
Confused 49.5%

Feature analysis

Amazon

Person 87.4%

Captions

Microsoft

a close up of a knife 64.3%
close up of a knife 60.5%
a knife next to it 51%