Human Generated Data

Title

Untitled (two doctors, nurse, and two patients talking in hallway)

Date

1965-1968

People

Artist: Gordon W. Gahan, American 1945 - 1984

Classification

Photographs

Credit Line

Harvard Art Museums/Fogg Museum, Gift of Barbara Robinson, 2007.184.2.498

Human Generated Data

Title

Untitled (two doctors, nurse, and two patients talking in hallway)

People

Artist: Gordon W. Gahan, American 1945 - 1984

Date

1965-1968

Classification

Photographs

Credit Line

Harvard Art Museums/Fogg Museum, Gift of Barbara Robinson, 2007.184.2.498

Machine Generated Data

Tags

Amazon
created on 2023-10-25

Adult 98.1
Male 98.1
Man 98.1
Person 98.1
Adult 97.8
Male 97.8
Man 97.8
Person 97.8
Person 97.8
Art 96.7
Collage 96.7
Adult 96.6
Male 96.6
Man 96.6
Person 96.6
Person 96.6
Adult 96.5
Male 96.5
Man 96.5
Person 96.5
Person 95.8
Adult 95.8
Male 95.8
Man 95.8
Person 95.8
Person 95.4
Person 94.8
Person 93.9
Person 93.5
Person 92.5
Person 92.3
Person 90.9
Person 90.4
Person 89.5
Person 89.4
Person 87.9
Person 87.2
Person 86.9
Formal Wear 86.7
Person 84.2
Person 74.6
Head 69.4
Face 68.3
Bicycle 67.4
Transportation 67.4
Vehicle 67.4
Text 63.1
Clothing 55.9
Dress 55.9
Fashion 55.9
Gown 55.9
Dressing Room 55.7
Indoors 55.7
Room 55.7
Book 55.6
Comics 55.6
Publication 55.6
Flower 55.5
Plant 55.5

Clarifai
created on 2018-10-06

people 99.9
man 98.2
group 97.8
adult 96.9
woman 96.4
two 91.4
retro 89.8
monochrome 89.1
three 88.3
group together 87.3
snapshot 87
administration 86.1
wear 82.9
actor 78
four 77.8
many 77.7
desktop 74.8
vintage 74.7
vertical 72.8
leader 72.5

Imagga
created on 2018-10-06

man 26.2
people 24.5
adult 22.1
work 21.2
business 20.6
person 20
office 19.6
call 19.6
machine 19.2
device 18.4
male 17.7
portrait 17.5
professional 17
negative 15.7
equipment 15.5
film 15.5
worker 15.3
building 14.7
corporate 14.6
men 14.6
shop 14.2
businessman 14.1
smile 13.5
job 13.3
industry 12.8
black 12.6
working 12.4
cash machine 12
happy 11.9
elevator 11.4
modern 11.2
looking 11.2
photographic paper 10.5
technology 10.4
pay-phone 10.4
room 10
telephone 9.8
interior 9.7
computer 9.7
indoors 9.7
home 9.6
standing 9.6
women 9.5
service 9.3
occupation 9.2
hand 9.1
medical 8.8
barbershop 8.6
two 8.5
doctor 8.5
pretty 8.4
mature 8.4
house 8.4
health 8.3
indoor 8.2
businesswoman 8.2
passenger 8.1
transportation 8.1
team 8.1
information 8
to 8
lifestyle 7.9
face 7.8
attractive 7.7
hospital 7.7
electronic equipment 7.7
businesspeople 7.6
career 7.6
lifting device 7.6
communication 7.6
executive 7.4
success 7.2
cute 7.2
photographic equipment 7.1

Google
created on 2018-10-06

Color Analysis

Face analysis

Amazon

AWS Rekognition

Age 6-14
Gender Female, 99.8%
Happy 80.8%
Fear 11.6%
Surprised 6.6%
Sad 3.4%
Angry 1.9%
Calm 1.4%
Confused 0.4%
Disgusted 0.4%

AWS Rekognition

Age 19-27
Gender Male, 98.4%
Calm 47.7%
Surprised 15.6%
Happy 11.5%
Angry 11.3%
Fear 7.1%
Sad 5.7%
Confused 5.3%
Disgusted 2.1%

AWS Rekognition

Age 37-45
Gender Female, 98.4%
Fear 82.5%
Calm 30.6%
Surprised 6.5%
Sad 2.8%
Happy 1.7%
Angry 0.4%
Disgusted 0.3%
Confused 0.1%

AWS Rekognition

Age 14-22
Gender Female, 83.9%
Calm 94.4%
Fear 6.6%
Surprised 6.4%
Angry 2.6%
Sad 2.2%
Happy 0.3%
Confused 0.3%
Disgusted 0.2%

AWS Rekognition

Age 16-24
Gender Female, 58.7%
Calm 49.2%
Sad 44.7%
Angry 11%
Fear 7.7%
Surprised 7%
Happy 5.2%
Disgusted 2.1%
Confused 1.6%

AWS Rekognition

Age 13-21
Gender Male, 94.6%
Calm 73.7%
Angry 10.2%
Surprised 6.9%
Fear 6.7%
Confused 4.9%
Sad 4.3%
Happy 2.1%
Disgusted 1%

AWS Rekognition

Age 16-24
Gender Female, 82.2%
Calm 51.7%
Happy 11.4%
Angry 11.3%
Surprised 10.1%
Fear 6.7%
Disgusted 5.7%
Confused 5.4%
Sad 5.1%

AWS Rekognition

Age 22-30
Gender Female, 90.5%
Happy 48.5%
Calm 43.8%
Surprised 6.8%
Fear 6.2%
Sad 3.3%
Angry 1.2%
Confused 0.9%
Disgusted 0.7%

AWS Rekognition

Age 16-24
Gender Female, 79.2%
Sad 99.9%
Fear 7.5%
Calm 7%
Surprised 6.6%
Angry 6.4%
Disgusted 2.2%
Happy 1.2%
Confused 0.9%

AWS Rekognition

Age 18-26
Gender Female, 63.2%
Happy 50.2%
Calm 26.6%
Surprised 7.8%
Fear 6.5%
Angry 6.3%
Sad 4.7%
Confused 3.7%
Disgusted 3%

AWS Rekognition

Age 21-29
Gender Female, 56.1%
Sad 100%
Surprised 6.3%
Fear 6.2%
Happy 0.3%
Calm 0.3%
Confused 0.1%
Disgusted 0.1%
Angry 0%

AWS Rekognition

Age 19-27
Gender Female, 91.3%
Calm 79.5%
Happy 10.6%
Surprised 6.4%
Fear 6.2%
Sad 5.7%
Disgusted 0.8%
Confused 0.5%
Angry 0.3%

AWS Rekognition

Age 38-46
Gender Female, 84.1%
Happy 30.6%
Sad 29.1%
Surprised 17.8%
Calm 11.6%
Confused 8.6%
Fear 8%
Angry 5.5%
Disgusted 4.5%

Feature analysis

Amazon

Adult 98.1%
Male 98.1%
Man 98.1%
Person 98.1%
Bicycle 67.4%

Text analysis

Amazon

27
22
23
26
24
25
22A
KODAK
SAFETY
27A
25A
FILM
PAN
23A
26A
TRI
KODAK TRI X PAN FILM
KODAK TRI X
X

Google

KODA TR KODAK SAFETYFTL KODA KOTRIX → 22 → 23 →23A → 25 -> 25A →27 -> 27 A
KODA
TR
KODAK
SAFETYFTL
KOTRIX
22
23
23A
25
-
>
25A
27
A