Human Generated Data

Title

Untitled (cannon and two elderly men with canes)

Date

1958

People

Artist: Francis J. Sullivan, American 1916 - 1996

Classification

Photographs

Credit Line

Harvard Art Museums/Fogg Museum, Transfer from the Carpenter Center for the Visual Arts, American Professional Photographers Collection, 4.2002.18837

Human Generated Data

Title

Untitled (cannon and two elderly men with canes)

People

Artist: Francis J. Sullivan, American 1916 - 1996

Date

1958

Classification

Photographs

Machine Generated Data

Tags

Amazon
created on 2022-03-05

Person 99.9
Human 99.9
Person 99.6
Machine 99.6
Wheel 99.6
Bicycle 94
Transportation 94
Bike 94
Vehicle 94
Weapon 92.8
Weaponry 92.8
Cannon 85.8
Spoke 74.9
Bicycle 70.3
Clothing 63.5
Apparel 63.5
Wheel 58.3
Wagon 57.5

Imagga
created on 2022-03-05

cart 100
jinrikisha 100
wagon 75.1
wheeled vehicle 51.4
wheelchair 34.8
bicycle 33.3
wheel 33
vehicle 31.7
bike 31.2
carriage 28
old 24.4
transportation 20.6
ride 20.4
outdoors 19.6
cycle 19.5
man 19.5
street 19.3
transport 19.2
chair 18.6
seat 18.4
disabled 16.8
outside 16.3
people 16.2
outdoor 16.1
sport 15.6
male 14.2
park 14
riding 13.7
horse 13.3
cannon 12.8
travel 12.7
care 12.3
senior 12.2
help 12.1
health 11.8
recreation 11.6
summer 10.9
disability 10.9
pedal 10.9
city 10.8
active 10.8
activity 10.8
wheels 10.7
illness 10.5
antique 10.4
gun 10.1
vintage 9.9
handicapped 9.9
cycling 9.8
support 9.7
men 9.4
lifestyle 9.4
tourist 9.2
road 9
impairment 8.9
invalid 8.9
retired 8.7
artillery 8.3
aged 8.1
history 8
cyclist 8
biking 7.9
mobility 7.8
adult 7.8
sick 7.7
helmet 7.7
sky 7.7
husband 7.6
field 7.5
tourism 7.4
retro 7.4
vacation 7.4
historic 7.3
weapon 7.3
exercise 7.3
black 7.2
person 7.2
mountain 7.1
love 7.1

Google
created on 2022-03-05

Microsoft
created on 2022-03-05

outdoor 99.6
grass 96.5
wheel 95.3
person 94
clothing 93.6
text 91.3
black and white 90.3
man 90.1
standing 84.6
posing 68.2
transport 66.2
tire 64.7
old 52.8
bicycle 39.5

Face analysis

Amazon

Google

AWS Rekognition

Age 39-47
Gender Male, 90.1%
Happy 51.7%
Calm 38.5%
Angry 3.6%
Surprised 1.9%
Fear 1.3%
Confused 1.1%
Sad 1.1%
Disgusted 0.9%

AWS Rekognition

Age 25-35
Gender Male, 80.3%
Calm 73.4%
Surprised 9.7%
Happy 8.7%
Angry 2.9%
Confused 1.7%
Sad 1.5%
Disgusted 1.3%
Fear 0.7%

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 Unlikely
Blurred Very unlikely

Feature analysis

Amazon

Person 99.9%
Wheel 99.6%
Bicycle 94%

Captions

Microsoft

a group of people posing for a photo in front of a bicycle 95%
a group of people standing in front of a bicycle 93.4%
a couple of people that are standing in front of a bicycle 88.4%

Text analysis

Amazon

KODAK-A-ITW

Google

37A°2
-
XAGON
MJI7--Y T 37A°2 - - XAGON
T
MJI7--Y