Human Generated Data

Title

Crime, Children, Reform Schools: United States. Illinois. Chicago. John Worthy School: School Room JWSch.
Date

c. 1900
People

Artist: Unidentified Artist,

Classification

Photographs
Credit Line

Harvard Art Museums/Fogg Museum, Transfer from the Carpenter Center for the Visual Arts, Social Museum Collection, 3.2002.2845.1

Human Generated Data

Title

Crime, Children, Reform Schools: United States. Illinois. Chicago. John Worthy School: School Room JWSch.

People

Artist: Unidentified Artist,

Date

c. 1900

Classification

Photographs

Credit Line

Harvard Art Museums/Fogg Museum, Transfer from the Carpenter Center for the Visual Arts, Social Museum Collection, 3.2002.2845.1

Machine Generated Data

Tags

Amazon
created on 2019-06-05

Indoors 100
Room 100
School 100
Classroom 100
Person 99.2
Human 99.2
Person 99.1
Person 97.6
Person 97.5
Person 97.1
Person 95.6
Person 94.7
Person 93.6
Person 92
Person 84.6
Person 83.2
Chair 83.1
Furniture 83.1
Person 82.2
Crowd 67
Clothing 65.7
Footwear 65.7
Apparel 65.7
Shoe 65.7
Person 63.8
Person 55.7

Clarifai
created on 2019-06-05

people 100
many 99.9
group 99.6
education 98.4
school 98
group together 97.6
administration 96.6
adult 96.5
child 95.4
teacher 94.4
classroom 93.6
war 93.4
crowd 91.1
woman 91
man 91
boy 90.6
elementary school 90.2
military 86.3
room 84.3
vehicle 82.2

Imagga
created on 2019-06-05

classroom 100
room 92.7
teacher 37.1
chair 24.9
interior 23.8
people 23.4
educator 23.3
professional 22.5
man 22.1
adult 21.8
person 21.1
table 19.9
group 19.3
restaurant 14.8
men 14.6
male 14.2
indoors 14
business 12.1
home 11.9
student 11.3
education 11.2
women 11.1
lifestyle 10.8
chairs 10.8
design 10.7
furniture 10.6
school 10.4
empty 10.3
sitting 10.3
modern 9.8
class 9.6
work 9.4
light 9.3
house 9.2
musical instrument 9
seat 8.9
together 8.7
couple 8.7
smiling 8.7
building 8.6
architecture 8.6
sit 8.5
contemporary 8.5
communication 8.4
study 8.4
inside 8.3
indoor 8.2
music 8.2
office 8.1
team 8.1
tables 7.9
center 7.8
food 7.8
hall 7.7
old 7.7
dining 7.6
desk 7.5
meeting 7.5
learning 7.5
city 7.5
mature 7.4
floor 7.4
window 7.3
book 7.3
musician 7.2
black 7.2
family 7.1
cafeteria 7.1
life 7

Google
created on 2019-06-05

Class 89.6
Room 87
Classroom 85
Event 71.1
State school 68.5
Monochrome 64.3
Table 58.6
Building 58.4
Crowd 57.8
History 57.6
Team 52.3
School 50.1

Microsoft
created on 2019-06-05

person 98.6
indoor 97.1
floor 96
ceiling 92.9
group 90.1
clothing 88.3
furniture 86.7
table 81.3
chair 78.2
school 77.1
old 64.9
people 64.3
posing 50.6
several 10.5
crowd 1.2

Color Analysis

Face analysis

Amazon

AWS Rekognition

Age 9-14
Gender Male, 50.1%
Angry 45.2%
Disgusted 45.1%
Confused 45.1%
Calm 45.8%
Happy 45%
Surprised 45.1%
Sad 53.7%

AWS Rekognition

Age 12-22
Gender Female, 50.3%
Disgusted 45.1%
Confused 45.2%
Angry 45.4%
Sad 51.2%
Surprised 45.2%
Happy 45.1%
Calm 47.8%

AWS Rekognition

Age 26-43
Gender Female, 50.6%
Calm 52.1%
Surprised 45.2%
Disgusted 45.4%
Confused 45.3%
Happy 45.5%
Angry 45.3%
Sad 46.2%

AWS Rekognition

Age 16-27
Gender Male, 52.5%
Calm 47.5%
Sad 49.8%
Disgusted 45.2%
Happy 46.7%
Surprised 45.2%
Angry 45.5%
Confused 45.2%

AWS Rekognition

Age 11-18
Gender Male, 53.9%
Sad 47%
Happy 45.1%
Disgusted 45%
Calm 52.2%
Angry 45.2%
Confused 45.2%
Surprised 45.2%

AWS Rekognition

Age 10-15
Gender Male, 50.5%
Angry 45.2%
Disgusted 45%
Confused 45.1%
Calm 45.5%
Happy 45.2%
Surprised 45.1%
Sad 53.9%

AWS Rekognition

Age 45-63
Gender Male, 50.4%
Confused 49.6%
Calm 49.7%
Angry 49.7%
Sad 49.7%
Happy 49.6%
Disgusted 49.6%
Surprised 49.6%

AWS Rekognition

Age 26-43
Gender Male, 53.6%
Disgusted 45.1%
Confused 45.2%
Angry 45.4%
Happy 45.5%
Calm 51.3%
Surprised 45.3%
Sad 47.3%

AWS Rekognition

Age 26-43
Gender Male, 53.5%
Angry 46%
Confused 45.7%
Calm 48.8%
Sad 48.3%
Happy 45.5%
Disgusted 45.2%
Surprised 45.5%

AWS Rekognition

Age 19-36
Gender Female, 50.2%
Sad 49.6%
Angry 49.6%
Calm 49.8%
Happy 49.6%
Disgusted 49.8%
Confused 49.6%
Surprised 49.6%

AWS Rekognition

Age 26-44
Gender Male, 50%
Confused 49.5%
Angry 49.6%
Disgusted 49.5%
Surprised 49.5%
Sad 50.2%
Happy 49.5%
Calm 49.6%

AWS Rekognition

Age 20-38
Gender Male, 50.4%
Calm 49.6%
Angry 49.7%
Disgusted 49.5%
Sad 50.2%
Surprised 49.5%
Happy 49.5%
Confused 49.5%

AWS Rekognition

Age 4-9
Gender Male, 50.5%
Happy 49.5%
Surprised 49.7%
Angry 49.7%
Sad 49.7%
Confused 49.8%
Calm 49.6%
Disgusted 49.5%

AWS Rekognition

Age 26-43
Gender Male, 50.4%
Sad 49.9%
Calm 49.7%
Disgusted 49.5%
Happy 49.5%
Confused 49.6%
Angry 49.8%
Surprised 49.5%

AWS Rekognition

Age 20-38
Gender Male, 52.1%
Surprised 46.6%
Confused 45.4%
Sad 45.4%
Calm 48.7%
Happy 45.2%
Disgusted 45.1%
Angry 48.7%

AWS Rekognition

Age 16-27
Gender Female, 50.1%
Sad 49.6%
Disgusted 49.5%
Confused 49.7%
Angry 49.6%
Happy 49.6%
Surprised 49.6%
Calm 49.8%

AWS Rekognition

Age 38-57
Gender Female, 50.7%
Angry 49.6%
Disgusted 46.5%
Confused 45.3%
Calm 45.7%
Happy 46.5%
Surprised 45.6%
Sad 45.8%

AWS Rekognition

Age 26-43
Gender Male, 50.3%
Sad 49.7%
Disgusted 49.6%
Surprised 49.6%
Happy 49.6%
Confused 49.6%
Angry 49.8%
Calm 49.6%

AWS Rekognition

Age 11-18
Gender Male, 50.4%
Sad 49.5%
Confused 49.5%
Calm 50.3%
Disgusted 49.5%
Happy 49.6%
Angry 49.5%
Surprised 49.6%

AWS Rekognition

Age 17-27
Gender Female, 53.1%
Surprised 45.4%
Calm 45.3%
Happy 45.7%
Sad 52.1%
Confused 45.2%
Angry 45.9%
Disgusted 45.3%

AWS Rekognition

Age 26-43
Gender Male, 50.3%
Surprised 49.6%
Sad 49.6%
Happy 49.6%
Disgusted 49.5%
Confused 49.7%
Calm 49.7%
Angry 49.8%

AWS Rekognition

Age 12-22
Gender Female, 50.5%
Happy 49.6%
Calm 49.5%
Confused 49.7%
Angry 49.7%
Disgusted 49.9%
Sad 49.6%
Surprised 49.5%

AWS Rekognition

Age 10-15
Gender Male, 50.2%
Sad 49.6%
Surprised 50.1%
Confused 49.6%
Disgusted 49.5%
Happy 49.5%
Calm 49.6%
Angry 49.6%

AWS Rekognition

Age 10-15
Gender Male, 50.2%
Disgusted 49.5%
Sad 49.7%
Surprised 49.6%
Calm 50%
Happy 49.6%
Confused 49.6%
Angry 49.5%

AWS Rekognition

Age 10-15
Gender Female, 50.3%
Disgusted 49.5%
Confused 49.5%
Angry 49.5%
Calm 49.5%
Surprised 49.5%
Happy 49.5%
Sad 50.4%

AWS Rekognition

Age 26-43
Gender Male, 50.2%
Sad 49.8%
Surprised 49.6%
Disgusted 49.5%
Calm 49.8%
Happy 49.6%
Confused 49.6%
Angry 49.6%

AWS Rekognition

Age 29-45
Gender Male, 54.4%
Angry 45.8%
Happy 45.7%
Disgusted 46.8%
Confused 49.6%
Surprised 45.4%
Sad 46.4%
Calm 45.3%

AWS Rekognition

Age 23-38
Gender Male, 50.3%
Sad 50.2%
Happy 49.5%
Disgusted 49.5%
Calm 49.5%
Angry 49.7%
Confused 49.5%
Surprised 49.5%

AWS Rekognition

Age 11-18
Gender Male, 50.2%
Sad 49.9%
Disgusted 49.5%
Confused 49.5%
Angry 49.8%
Happy 49.5%
Surprised 49.5%
Calm 49.7%

AWS Rekognition

Age 19-36
Gender Female, 50.4%
Sad 50%
Disgusted 49.5%
Calm 49.8%
Confused 49.5%
Angry 49.5%
Surprised 49.6%
Happy 49.5%

AWS Rekognition

Age 23-38
Gender Female, 50.3%
Calm 49.9%
Happy 49.6%
Angry 49.5%
Sad 49.8%
Surprised 49.6%
Confused 49.6%
Disgusted 49.5%

AWS Rekognition

Age 23-38
Gender Female, 50.4%
Confused 49.6%
Calm 49.6%
Happy 49.8%
Surprised 49.6%
Sad 49.8%
Angry 49.6%
Disgusted 49.5%

AWS Rekognition

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

AWS Rekognition

Age 10-15
Gender Male, 50.4%
Happy 49.5%
Surprised 49.5%
Angry 49.6%
Sad 50.2%
Confused 49.6%
Disgusted 49.5%
Calm 49.6%

Feature analysis

Amazon

Person 99.2%
Chair 83.1%
Shoe 65.7%

Categories

Imagga

events parties 91%
people portraits 8.8%

Text analysis

Amazon

7281
+7
14
14 49s
$7271y
49s
116 $7271y
116
RaCES

Google

5208
153
cs
5208 X 153 75 52 24 cs 20603 23741 ト 7281
X
75
52
24
20603
23741
ト
7281