Human Generated Data

Title

Pen Box with Riverscape, Female Portraits, and Lions in Medallions

Date

c. 1880-1910

People

-

Classification

Artists' Tools

Credit Line

Harvard Art Museums/Arthur M. Sackler Museum, Gift of A. Soudavar in memory of his mother Ezzat-Malek Soudavar, 2014.356

Human Generated Data

Title

Pen Box with Riverscape, Female Portraits, and Lions in Medallions

Date

c. 1880-1910

Classification

Artists' Tools

Credit Line

Harvard Art Museums/Arthur M. Sackler Museum, Gift of A. Soudavar in memory of his mother Ezzat-Malek Soudavar, 2014.356

Machine Generated Data

Tags

Amazon
created on 2019-04-09

Human 95.9
People 94.5
Sports 86.6
Sport 86.6
Weaponry 80.3
Weapon 80.3
Team Sport 80.2
Team 80.2
Blade 71.1
Knife 68.3
Person 67.2
Smoke Pipe 62.6
Softball 59.7
Baseball 59.7
Oars 59.4

Clarifai
created on 2018-02-10

prescription 99.9
medicine 99.7
addiction 99.7
medical 98.6
no person 98.2
healthcare 97.7
desktop 96.6
sausage 95.4
pill 95.4
science 94.3
one 94.3
smoke 94.1
symbol 93.4
closeup 93.4
illness 93.2
drug 93.1
cutout 91.5
still life 90.8
disease 89.3
food 86.9

Imagga
created on 2018-02-10

knife 43.9
scabbard 27.8
device 24.3
sheath 21.6
object 18.3
tool 17.7
dagger 17.4
food 17
weapon 16.2
close 16
pen 15.4
blade 14.9
closeup 14.8
single 14.8
brown 14
cigarette 12.7
addiction 12.6
cutter 12.5
metal 12.1
health 11.8
tobacco 11.8
equipment 11.6
unhealthy 11.5
healthy 11.3
diet 11.3
one 11.2
nobody 10.9
tasty 10.9
steel 10.9
cut 10.8
fresh 10.5
covering 10.4
smoke 10.2
paper 10.2
danger 10
meat 9.9
habit 9.8
meal 9.7
cooking 9.6
color 9.5
money 9.4
yellow 9.3
bread 9.3
wood 9.2
kitchen 8.9
handle 8.6
sharp 8.6
business 8.5
baked 8.4
horizontal 8.4
studio 8.4
slice 8.2
wealth 8.1
currency 8.1
wooden 7.9
objects 7.8
cancer 7.8
smoking 7.8
black 7.8
loaf 7.8
snack 7.7
dinner 7.6
eating 7.6
organic 7.6
nutrition 7.6
pencil 7.5
delicious 7.4
cook 7.3
silver 7.1

Google
created on 2018-02-10

Microsoft
created on 2018-02-10

weapon 58.2

Color Analysis

Face analysis

Amazon

AWS Rekognition

Age 23-38
Gender Female, 55%
Happy 45.6%
Angry 45.2%
Disgusted 45.4%
Sad 50.3%
Surprised 45.1%
Confused 45.2%
Calm 48.3%

AWS Rekognition

Age 15-25
Gender Male, 54.5%
Surprised 45.2%
Happy 48.4%
Sad 45.5%
Disgusted 47.2%
Confused 45.1%
Calm 48.4%
Angry 45.2%

AWS Rekognition

Age 16-27
Gender Male, 54%
Happy 46.5%
Sad 46.1%
Surprised 45.4%
Confused 45.2%
Calm 47%
Angry 47.3%
Disgusted 47.5%

AWS Rekognition

Age 9-14
Gender Male, 53.2%
Calm 45.6%
Surprised 45.1%
Disgusted 45.1%
Angry 45.4%
Sad 53.1%
Confused 45.1%
Happy 45.5%

AWS Rekognition

Age 20-38
Gender Male, 51.5%
Confused 45.6%
Surprised 45.8%
Disgusted 46.2%
Sad 48.6%
Happy 46.3%
Angry 46.3%
Calm 46.2%

Feature analysis

Amazon

Person 67.2%
Smoke Pipe 62.6%

Captions

Microsoft
created on 2018-02-10

a close up of a knife 66%
close up of a knife 61.7%
a knife next to it 52.2%