Human Generated Data

Title

Education, Industrial: United States. New York. New York City. Vacation Schools: New York City Public Schools. Examples of the Adaptation of Education to Special City Needs: Vacation School. Public School 32. Brooklyn.
Date

1902
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, 3.2002.1459.2

Human Generated Data

Title

Education, Industrial: United States. New York. New York City. Vacation Schools: New York City Public Schools. Examples of the Adaptation of Education to Special City Needs: Vacation School. Public School 32. Brooklyn.

People

Artist: Unidentified Artist,

Date

1902

Classification

Photographs

Credit Line

Harvard Art Museums/Fogg Museum, Transfer from the Carpenter Center for the Visual Arts, Social Museum Collection, 3.2002.1459.2

Machine Generated Data

Tags

Amazon
created on 2019-06-04

Human 98.9
Person 98.9
Person 97.8
Building 96.9
Room 96.6
Indoors 96.6
Crowd 96
Audience 96
Person 95
Person 94.8
Person 94.4
Person 94.3
School 93.9
Classroom 93.7
Person 93.6
Person 92.9
Factory 89.9
Person 86.8
Person 84.7
Person 84
Person 80.9
Interior Design 70.7
People 69.1
Person 64.6
Person 61.8
Workshop 55.4
Person 54

Clarifai
created on 2019-06-04

people 100
many 99.7
group 99.4
child 99.4
adult 98.1
group together 96.9
education 95.5
administration 94.9
elementary school 94.1
sit 94
woman 93.9
furniture 92.9
recreation 91.9
boy 90.8
man 90.2
school 89.1
piano 88.9
vehicle 88.8
instrument 88.7
war 88.5

Imagga
created on 2019-06-04

room 37.8
classroom 34.8
people 26.2
man 23.5
barbershop 23.3
indoors 20.2
male 19.8
shop 19.5
table 19
senior 17.8
home 17.5
brass 16.9
person 16.8
chair 16.7
couple 16.5
sitting 16.3
men 16.3
wind instrument 15.7
musical instrument 15.3
old 15.3
interior 15
mercantile establishment 14.9
adult 14.7
building 14.1
blackboard 13.8
smiling 13.7
teacher 13.3
school 12.8
women 12.6
restaurant 12
indoor 11.9
family 11.6
business 11.5
happy 10.6
love 10.2
place of business 9.9
holding 9.9
cheerful 9.7
group 9.7
elderly 9.6
hall 9.4
work 9.4
office 9.4
happiness 9.4
glass 9.3
student 9.3
inside 9.2
modern 9.1
businessman 8.8
together 8.8
lifestyle 8.7
education 8.6
smile 8.5
desk 8.5
two 8.5
mature 8.4
salon 8.1
to 8
professional 7.8
portrait 7.8
class 7.7
drinking 7.6
life 7.6
cornet 7.6
house 7.5
drink 7.5
wine 7.4
new 7.3
aged 7.2
holiday 7.2
architecture 7

Google
created on 2019-06-04

Photograph 95.7
Snapshot 84.5
Room 71.4
History 57.6
Class 53.6
Classroom 52.9
Child 52
Art 50.2

Microsoft
created on 2019-06-04

person 90.1
black 90
old 87.9
white 81.8
people 80
clothing 66.9
group 65.1
posing 35.5

Color Analysis

Face analysis

Amazon

Microsoft

Google

AWS Rekognition

Age 20-38
Gender Female, 54.4%
Confused 45.1%
Angry 45.3%
Calm 49.2%
Disgusted 45.1%
Sad 50%
Happy 45.1%
Surprised 45.2%

AWS Rekognition

Age 14-25
Gender Female, 53.9%
Happy 45.1%
Angry 45.3%
Sad 53.5%
Disgusted 45.1%
Confused 45.3%
Calm 45.5%
Surprised 45.2%

AWS Rekognition

Age 11-18
Gender Female, 54.2%
Happy 45.2%
Confused 45%
Surprised 45%
Angry 45.1%
Calm 45.2%
Sad 54.4%
Disgusted 45%

AWS Rekognition

Age 11-18
Gender Female, 52.9%
Calm 50.8%
Happy 45.1%
Confused 45.1%
Angry 46.7%
Disgusted 45.3%
Surprised 45.1%
Sad 46.8%

AWS Rekognition

Age 14-23
Gender Female, 50.8%
Calm 45.2%
Happy 45.1%
Disgusted 45%
Confused 45.1%
Surprised 45%
Sad 54.5%
Angry 45.1%

AWS Rekognition

Age 35-52
Gender Male, 51.5%
Angry 48.2%
Sad 50.4%
Disgusted 45.4%
Happy 45.1%
Calm 45.4%
Confused 45.3%
Surprised 45.1%

AWS Rekognition

Age 11-18
Gender Female, 52.4%
Disgusted 45.2%
Happy 47%
Calm 46.6%
Angry 45.4%
Confused 45.5%
Sad 50%
Surprised 45.3%

AWS Rekognition

Age 20-38
Gender Female, 53.4%
Angry 47.8%
Surprised 45.1%
Disgusted 45.1%
Happy 45%
Sad 51.7%
Confused 45.1%
Calm 45.1%

AWS Rekognition

Age 6-13
Gender Male, 51.3%
Happy 45.1%
Disgusted 45.2%
Surprised 45.1%
Angry 45.3%
Calm 48.8%
Sad 50.4%
Confused 45.2%

AWS Rekognition

Age 12-22
Gender Female, 53.3%
Confused 45.1%
Surprised 45.2%
Happy 45.2%
Disgusted 45.2%
Calm 45.2%
Sad 52%
Angry 47.1%

AWS Rekognition

Age 15-25
Gender Female, 50.4%
Surprised 49.5%
Calm 49.5%
Sad 50%
Happy 49.5%
Angry 49.8%
Confused 49.5%
Disgusted 49.5%

AWS Rekognition

Age 26-43
Gender Female, 52.9%
Confused 45.3%
Angry 46.2%
Calm 50.4%
Disgusted 46.6%
Sad 45.9%
Happy 45.2%
Surprised 45.5%

AWS Rekognition

Age 20-38
Gender Female, 52.5%
Calm 45.6%
Confused 45.1%
Sad 53.9%
Angry 45.2%
Happy 45%
Disgusted 45%
Surprised 45.1%

AWS Rekognition

Age 49-69
Gender Female, 53.4%
Sad 54.6%
Disgusted 45%
Surprised 45%
Angry 45.1%
Happy 45.1%
Calm 45.1%
Confused 45%

AWS Rekognition

Age 20-38
Gender Female, 50.1%
Confused 49.6%
Sad 49.6%
Surprised 49.6%
Happy 49.9%
Angry 49.6%
Disgusted 49.5%
Calm 49.7%

AWS Rekognition

Age 26-44
Gender Female, 50.9%
Calm 45.5%
Happy 45%
Confused 45.1%
Angry 45.2%
Disgusted 45.1%
Surprised 45.1%
Sad 54%

AWS Rekognition

Age 15-25
Gender Female, 50.5%
Disgusted 49.5%
Happy 49.6%
Sad 50.1%
Calm 49.6%
Angry 49.6%
Confused 49.6%
Surprised 49.5%

AWS Rekognition

Age 20-38
Gender Female, 50.5%
Happy 49.6%
Confused 49.6%
Surprised 49.6%
Angry 49.6%
Calm 50%
Sad 49.5%
Disgusted 49.6%

AWS Rekognition

Age 20-38
Gender Male, 51.5%
Disgusted 47.9%
Calm 47.2%
Happy 45.5%
Angry 46.5%
Sad 46.3%
Confused 45.7%
Surprised 45.9%

AWS Rekognition

Age 10-15
Gender Female, 50.4%
Disgusted 49.5%
Sad 49.7%
Surprised 49.5%
Calm 50.1%
Angry 49.5%
Happy 49.6%
Confused 49.5%

AWS Rekognition

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

AWS Rekognition

Age 23-38
Gender Female, 50.1%
Calm 49.6%
Happy 49.5%
Sad 50.2%
Surprised 49.5%
Disgusted 49.5%
Angry 49.6%
Confused 49.6%

AWS Rekognition

Age 11-18
Gender Female, 50%
Sad 49.8%
Disgusted 49.6%
Surprised 49.6%
Angry 49.6%
Happy 49.7%
Calm 49.6%
Confused 49.7%

AWS Rekognition

Age 6-13
Gender Male, 50.5%
Happy 49.5%
Disgusted 49.5%
Confused 49.5%
Angry 49.5%
Surprised 49.5%
Sad 50.5%
Calm 49.5%

AWS Rekognition

Age 12-22
Gender Female, 50.4%
Surprised 49.5%
Calm 49.5%
Happy 49.7%
Sad 50.2%
Angry 49.5%
Confused 49.5%
Disgusted 49.5%

Microsoft Cognitive Services

Age 24
Gender Female

Microsoft Cognitive Services

Age 7
Gender Female

Microsoft Cognitive Services

Age 17
Gender Female

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 Very unlikely
Blurred Very unlikely

Feature analysis

Amazon

Person 98.9%

Text analysis

Amazon

2046
.BROOKLYN.
Aucust
VACATION-SCHOOLS.
PS.32
5171907

Google

Aucust
Aucust 52 1902 2046
52
1902
2046