Human Generated Data

Title

Untitled (women standing behind school food counter with students waiting in front)
Date

c. 1950-1960
People

Artist: Claseman Studio, American 20th century
Classification

Photographs
Credit Line

Harvard Art Museums/Fogg Museum, Transfer from the Carpenter Center for the Visual Arts, American Professional Photographers Collection, 4.2002.11079

Human Generated Data

Title

Untitled (women standing behind school food counter with students waiting in front)

People

Artist: Claseman Studio, American 20th century

Date

c. 1950-1960

Classification

Photographs

Credit Line

Harvard Art Museums/Fogg Museum, Transfer from the Carpenter Center for the Visual Arts, American Professional Photographers Collection, 4.2002.11079

Machine Generated Data

Tags

Amazon
created on 2019-03-25

Person 99.4
Human 99.4
Person 99.3
Person 99.3
Person 98.8
Person 96.8
Person 96.1
Person 94.6
Indoors 94.5
Person 94
School 93.4
Room 93.4
Classroom 93.4
Person 84.7
Person 84.3
Crowd 84.1
Audience 83.2
Person 81.3
Person 79.7
Face 76.6
People 74.9
Sunglasses 72.5
Accessories 72.5
Accessory 72.5
Female 70.7
Woman 69.5
Girl 69.5
Kid 69.5
Teen 69.5
Child 69.5
Blonde 69.5
Person 68.5
Person 68.3
Furniture 67.2
Portrait 63.4
Photo 63.4
Photography 63.4
Person 60.3
Meal 56.9
Food 56.9
Speech 56
Lecture 56
Seminar 56

Clarifai
created on 2019-03-25

people 99.8
group 99.5
group together 98.9
many 96.9
adult 95.9
education 94.5
child 94.4
teacher 94.2
classroom 92.8
man 92.4
woman 92.1
administration 91.6
leader 91.2
school 90.8
several 88.7
elementary school 86.3
room 81.7
five 81.5
furniture 77.2
chair 76.8

Imagga
created on 2019-03-25

teacher 62.4
person 40.7
educator 39.4
adult 37.5
man 36.3
senior 35.6
people 35.1
professional 34.5
room 28.4
male 28.3
classroom 25.9
nurse 25.2
elderly 23
smiling 22.4
happy 21.9
couple 20.9
portrait 20.7
mature 20.4
blackboard 20.4
education 19.9
together 19.3
home 19.1
table 19.1
indoors 18.4
retired 18.4
indoor 18.2
sitting 18
student 17.9
group 17.7
retirement 17.3
meeting 16.9
old 16
looking 15.2
laptop 14.7
men 14.6
class 14.4
patient 14.3
husband 14.3
office 13.9
board 13.6
modern 13.3
businessman 13.2
school 13.2
hospital 13.2
lifestyle 13
business 12.7
teaching 12.7
love 12.6
happiness 12.5
wife 12.3
smile 12.1
computer 12
holding 11.5
medical 11.5
hand 11.4
businesspeople 11.4
teamwork 11.1
health 11.1
studying 10.5
human 10.5
study 10.2
work 10.2
two 10.2
aged 9.9
care 9.9
team 9.8
to 9.7
technology 9.6
boy 9.6
case 9.6
hands 9.5
hair 9.5
women 9.5
doctor 9.4
communication 9.2
businesswoman 9.1
lady 8.9
family 8.9
worker 8.9
kid 8.9
70s 8.8
interior 8.8
students 8.8
child 8.6
exam 8.6
desk 8.6
chair 8.5
casual 8.5
inside 8.3
life 8.2
pensioner 8
handsome 8
working 7.9
clinic 7.8
60s 7.8
older 7.8
married 7.7
specialist 7.6
age 7.6
college 7.6
executive 7.6
enjoying 7.6
learning 7.5
alcohol 7.4
occupation 7.3
cheerful 7.3
face 7.1

Google
created on 2019-03-25

Photograph 97.2
Snapshot 87.3
Black-and-white 78.1
Room 74.4
Class 74.2
Event 73.3
Photography 70.6
Monochrome 54.4
Child 52
Family 51
Crowd 50.7

Microsoft
created on 2019-03-25

person 99.4
posing 38.9
crowd 0.7
library 0.2
black and white 0.1
window 0.1
competition 0.1
music 0.1

Color Analysis

Face analysis

Amazon

AWS Rekognition

Age 26-43
Gender Male, 91.5%
Surprised 0.5%
Happy 0.1%
Calm 97.3%
Sad 1.3%
Angry 0.5%
Disgusted 0.1%
Confused 0.3%

AWS Rekognition

Age 29-45
Gender Male, 52.1%
Sad 45.2%
Angry 45.3%
Calm 52.1%
Surprised 45.8%
Happy 46.1%
Confused 45.3%
Disgusted 45.2%

AWS Rekognition

Age 26-43
Gender Female, 54.6%
Angry 45.1%
Disgusted 45%
Surprised 45.1%
Sad 45.1%
Confused 45.1%
Calm 45.1%
Happy 54.6%

AWS Rekognition

Age 35-52
Gender Male, 53.6%
Disgusted 45.3%
Calm 50.5%
Sad 46.9%
Confused 45.3%
Happy 46.2%
Surprised 45.3%
Angry 45.5%

AWS Rekognition

Age 35-53
Gender Male, 54%
Surprised 45.3%
Angry 45.1%
Sad 45.2%
Confused 45.1%
Calm 53.1%
Happy 46%
Disgusted 45.1%

AWS Rekognition

Age 38-59
Gender Male, 53.7%
Calm 47.2%
Disgusted 45.2%
Confused 45.2%
Happy 51.3%
Surprised 45.2%
Angry 45.3%
Sad 45.7%

AWS Rekognition

Age 26-43
Gender Female, 56%
Sad 15.8%
Confused 4.9%
Angry 4.2%
Surprised 3.1%
Calm 51.4%
Happy 17.5%
Disgusted 3%

AWS Rekognition

Age 35-52
Gender Female, 54.6%
Calm 48.9%
Happy 46.1%
Sad 48.7%
Angry 45.4%
Disgusted 45.4%
Confused 45.2%
Surprised 45.3%

AWS Rekognition

Age 16-27
Gender Female, 50.4%
Confused 49.5%
Angry 49.5%
Surprised 49.5%
Sad 49.5%
Happy 49.6%
Calm 50.4%
Disgusted 49.5%

AWS Rekognition

Age 26-43
Gender Female, 65.7%
Happy 2.3%
Disgusted 0.3%
Calm 79%
Sad 12.2%
Surprised 0.7%
Confused 1.7%
Angry 3.8%

Feature analysis

Amazon

Person 99.4%
Sunglasses 72.5%