Human Generated Data

Title

Pen Box with Nasir al-Din Shah and His Court; and Rulers from the Shahnama (Book of Kings) by Firdawsi
Date

1879-1880
People

Artist: Muhammad Kazim ibn Najaf `Ali,

Classification

Artists' Tools
Credit Line

Harvard Art Museums/Arthur M. Sackler Museum, Gift of A. Soudavar in memory of his mother Ezzat-Malek Soudavar, 2014.327

Human Generated Data

Title

Pen Box with Nasir al-Din Shah and His Court; and Rulers from the Shahnama (Book of Kings) by Firdawsi

People

Artist: Muhammad Kazim ibn Najaf `Ali,

Date

1879-1880

Classification

Artists' Tools

Credit Line

Harvard Art Museums/Arthur M. Sackler Museum, Gift of A. Soudavar in memory of his mother Ezzat-Malek Soudavar, 2014.327

Machine Generated Data

Tags

Amazon
created on 2019-04-09

Weaponry 94.8
Weapon 94.8
Blade 93.7
Knife 90
Cutlery 72
Sword 64.4
Letter Opener 58.1
Drawing 57.6
Art 57.6
Doodle 57.6
Strap 57.4
Sports 56.4
Sport 56.4
Skateboard 56.4
Spoon 55.4
Bronze 55.1

Clarifai
created on 2018-02-10

medicine 99.3
prescription 99.3
desktop 97.5
addiction 97.2
medical 97.1
no person 96.5
closeup 94.9
healthcare 94.7
symbol 94.3
science 93.2
pill 92.5
one 91.6
cutout 89.2
disjunct 87.4
color 86.9
art 86.5
isolated 85.5
herb 85.4
flora 84.7
cure 84.6

Imagga
created on 2018-02-10

object 19.1
arabesque 17.3
antique 15.3
metal 14.5
design 14.2
old 13.9
tool 13.6
knife 12.9
empty 12.9
frame 12.6
bangle 12.4
retro 12.3
close 12
money 11.9
single 11.5
one 11.2
paper 11.2
decoration 10.9
nobody 10.9
art 10.7
stencil 10.6
steel 10.1
backdrop 9.9
currency 9.9
damask 9.9
shiny 9.5
dollar 9.3
yellow 9.3
wallpaper 9.2
business 9.1
equipment 9.1
wealth 9
food 9
fastener 8.9
silver 8.8
device 8.7
blank 8.6
texture 8.3
gold 8.2
sword 7.9
textured 7.9
text 7.9
fresh 7.8
black 7.8
weapon 7.8
space 7.8
modern 7.7
finance 7.6
horizontal 7.5
sign 7.5
style 7.4
symbol 7.4
diet 7.3
chocolate 7.2
instrument 7.1

Google
created on 2018-02-10

product design 61

Color Analysis

Face analysis

Amazon

AWS Rekognition

Age 14-23
Gender Female, 50.4%
Confused 49.5%
Calm 50.1%
Happy 49.6%
Disgusted 49.6%
Angry 49.5%
Sad 49.7%
Surprised 49.5%

AWS Rekognition

Age 15-25
Gender Female, 50.5%
Sad 49.7%
Happy 49.9%
Calm 49.7%
Surprised 49.5%
Disgusted 49.6%
Angry 49.5%
Confused 49.5%

AWS Rekognition

Age 15-25
Gender Male, 50.3%
Happy 49.5%
Calm 49.8%
Angry 49.5%
Disgusted 49.5%
Sad 50%
Surprised 49.5%
Confused 49.5%

AWS Rekognition

Age 15-25
Gender Female, 50%
Angry 49.5%
Happy 49.6%
Calm 50.1%
Sad 49.6%
Confused 49.5%
Surprised 49.5%
Disgusted 49.6%

AWS Rekognition

Age 12-22
Gender Female, 50.2%
Confused 49.5%
Sad 49.7%
Calm 49.9%
Disgusted 49.7%
Angry 49.5%
Happy 49.6%
Surprised 49.5%

AWS Rekognition

Age 15-25
Gender Male, 50%
Calm 50.3%
Angry 49.5%
Surprised 49.5%
Sad 49.5%
Disgusted 49.6%
Happy 49.5%
Confused 49.5%

AWS Rekognition

Age 14-25
Gender Female, 50.3%
Surprised 49.5%
Confused 49.5%
Calm 49.5%
Happy 49.5%
Disgusted 50.3%
Angry 49.5%
Sad 49.5%

AWS Rekognition

Age 14-25
Gender Female, 50.2%
Sad 49.7%
Happy 49.6%
Angry 49.5%
Calm 50.1%
Surprised 49.5%
Confused 49.5%
Disgusted 49.5%

AWS Rekognition

Age 26-43
Gender Female, 50.2%
Calm 49.7%
Surprised 49.5%
Sad 50%
Angry 49.6%
Disgusted 49.6%
Confused 49.5%
Happy 49.5%

AWS Rekognition

Age 15-25
Gender Male, 50.3%
Disgusted 49.7%
Confused 49.5%
Happy 49.6%
Angry 49.6%
Calm 50%
Surprised 49.5%
Sad 49.6%

AWS Rekognition

Age 15-25
Gender Female, 50.2%
Surprised 49.5%
Calm 49.9%
Confused 49.5%
Happy 49.7%
Angry 49.6%
Disgusted 49.5%
Sad 49.7%

AWS Rekognition

Age 27-44
Gender Male, 50.4%
Confused 49.5%
Sad 49.7%
Calm 49.6%
Disgusted 49.9%
Angry 49.7%
Happy 49.6%
Surprised 49.5%

AWS Rekognition

Age 38-57
Gender Female, 50.5%
Surprised 49.6%
Angry 49.6%
Disgusted 49.7%
Confused 49.5%
Happy 49.7%
Calm 49.6%
Sad 49.7%

AWS Rekognition

Age 35-52
Gender Male, 50.1%
Confused 49.5%
Calm 49.7%
Surprised 49.6%
Sad 49.7%
Happy 49.6%
Disgusted 49.8%
Angry 49.7%

AWS Rekognition

Age 14-25
Gender Male, 50.5%
Surprised 49.5%
Angry 49.5%
Happy 49.6%
Sad 49.6%
Disgusted 49.5%
Confused 49.5%
Calm 50.1%

AWS Rekognition

Age 35-52
Gender Male, 50.1%
Calm 49.6%
Surprised 49.5%
Disgusted 49.5%
Angry 49.6%
Sad 50.2%
Confused 49.5%
Happy 49.6%

AWS Rekognition

Age 35-52
Gender Male, 50%
Happy 49.6%
Angry 49.6%
Disgusted 49.9%
Sad 49.6%
Surprised 49.6%
Confused 49.5%
Calm 49.7%

AWS Rekognition

Age 29-45
Gender Male, 50.4%
Sad 49.8%
Disgusted 49.7%
Angry 49.6%
Calm 49.7%
Surprised 49.6%
Happy 49.5%
Confused 49.6%

AWS Rekognition

Age 16-27
Gender Female, 50.4%
Confused 49.5%
Angry 49.5%
Sad 49.9%
Calm 50%
Happy 49.5%
Disgusted 49.5%
Surprised 49.5%

AWS Rekognition

Age 23-38
Gender Female, 50.5%
Sad 49.6%
Surprised 49.6%
Disgusted 49.5%
Angry 49.5%
Calm 49.9%
Happy 49.5%
Confused 49.8%

AWS Rekognition

Age 15-25
Gender Female, 50%
Disgusted 49.6%
Confused 49.5%
Happy 49.7%
Angry 49.6%
Calm 49.8%
Surprised 49.5%
Sad 49.7%

Captions

Microsoft
created on 2018-02-10

a close up of a knife 62.9%
a knife next to it 55.7%
close up of a knife 55.6%