Human Generated Data

Title

Education, Industrial: United States. New York. New York City. Public Schools, Adaptation to Special City Needs: Agencies Promoting the Assimilation of the Immigrant. Imparting American Standards to the Foreign Born. New York City Public Schools. Examples of Adaptation of Education to Special City Needs: English Lessons to Foreigners. Evening. Public School No. 160 Manhattan.
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, 3.2002.245.1

Human Generated Data

Title

Education, Industrial: United States. New York. New York City. Public Schools, Adaptation to Special City Needs: Agencies Promoting the Assimilation of the Immigrant. Imparting American Standards to the Foreign Born. New York City Public Schools. Examples of Adaptation of Education to Special City Needs: English Lessons to Foreigners. Evening. Public School No. 160 Manhattan.

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, 3.2002.245.1

Machine Generated Data

Tags

Amazon
created on 2022-06-25

Restaurant 99.2
Human 98.6
Person 98.6
Person 98.3
Person 98.1
Person 98
Cafeteria 90.6
Person 89.9
Person 89.1
Person 87
Person 86.7
Building 82.2
Person 80
Food Court 75.3
Food 75.3
Person 74.7
Factory 74.2
Person 72.6
Crowd 69.4
Pub 62.4
Painting 61.6
Art 61.6
Cafe 59.9
Indoors 56.5
Interior Design 56.1

Imagga
created on 2022-06-25

classroom 90.3
room 85.2
chair 34.5
table 23.3
interior 23
barbershop 19.5
furniture 19
shop 18
architecture 17.9
empty 17.2
modern 16.8
city 16.6
urban 16.6
window 16.5
building 16
business 15.8
hall 14.6
people 14.5
seat 14.3
house 14.2
indoors 14
restaurant 13.1
office 13.1
man 12.8
floor 12.1
design 11.8
work 11.8
mercantile establishment 11.7
wood 11.7
light 11.3
life 11.3
inside 11
chairs 10.8
male 10.6
travel 10.5
old 10.4
industry 10.2
person 10.2
decor 9.7
home 9.6
glass 9.3
street 9.2
style 8.9
group 8.9
comfortable 8.6
nobody 8.5
teacher 8.3
center 8.3
adult 8.1
working 7.9
tables 7.9
scene 7.8
professional 7.8
space 7.7
place of business 7.7
men 7.7
meeting 7.5
equipment 7.4
reflection 7.3
computer 7.2
hairdresser 7

Google
created on 2022-06-25

Suit 84.4
Vintage clothing 73.4
Event 73.2
Class 67.1
Monochrome 66.5
Room 65.3
Monochrome photography 63.4
History 63
Crew 61.7
Chair 60.7
Sitting 57.5
Crowd 56.3
Audience 53.8
Building 51
Collaboration 50.4

Microsoft
created on 2022-06-25

clothing 93.3
indoor 90.4
person 85.5
man 82.4
text 82.1
old 77.3
table 74.6
people 73.5
furniture 72.9
group 70.6
chair 54.3
several 12.6

Color Analysis

Face analysis

Amazon

Microsoft

Google

AWS Rekognition

Age 34-42
Gender Male, 99.7%
Calm 97.6%
Surprised 6.3%
Fear 5.9%
Sad 2.7%
Confused 0.2%
Disgusted 0.2%
Angry 0.1%
Happy 0.1%

AWS Rekognition

Age 31-41
Gender Male, 100%
Calm 96.2%
Surprised 6.4%
Fear 5.9%
Sad 2.9%
Angry 0.6%
Confused 0.3%
Disgusted 0.3%
Happy 0.1%

AWS Rekognition

Age 18-26
Gender Male, 99.9%
Calm 67.5%
Sad 30.1%
Surprised 7%
Confused 6.7%
Fear 6.4%
Disgusted 1%
Angry 0.9%
Happy 0.3%

AWS Rekognition

Age 40-48
Gender Male, 99.9%
Calm 94.9%
Surprised 6.7%
Fear 5.9%
Sad 2.3%
Happy 1.6%
Confused 1.4%
Angry 0.4%
Disgusted 0.2%

AWS Rekognition

Age 29-39
Gender Male, 99.3%
Calm 68.5%
Surprised 15%
Sad 11.1%
Fear 6.7%
Confused 2.2%
Angry 1.7%
Disgusted 1.4%
Happy 0.7%

AWS Rekognition

Age 29-39
Gender Male, 99.3%
Calm 94.4%
Fear 6.5%
Surprised 6.4%
Sad 2.6%
Angry 1.2%
Disgusted 0.4%
Confused 0.4%
Happy 0.3%

AWS Rekognition

Age 40-48
Gender Male, 99.9%
Calm 55.9%
Surprised 30.5%
Fear 10.3%
Confused 3.5%
Sad 3.4%
Disgusted 2.8%
Angry 2.7%
Happy 0.9%

AWS Rekognition

Age 19-27
Gender Male, 99.6%
Calm 96.8%
Surprised 6.7%
Fear 6%
Sad 2.4%
Angry 0.5%
Happy 0.3%
Disgusted 0.3%
Confused 0.2%

AWS Rekognition

Age 24-34
Gender Male, 99.6%
Calm 99.9%
Surprised 6.3%
Fear 5.9%
Sad 2.2%
Happy 0%
Confused 0%
Angry 0%
Disgusted 0%

AWS Rekognition

Age 18-24
Gender Male, 99.9%
Calm 92.5%
Surprised 6.7%
Fear 6%
Sad 2.5%
Disgusted 2.4%
Confused 2.2%
Angry 0.3%
Happy 0.2%

AWS Rekognition

Age 26-36
Gender Male, 100%
Calm 91.8%
Surprised 6.7%
Fear 6%
Sad 2.7%
Confused 2.5%
Angry 2%
Disgusted 0.5%
Happy 0.3%

AWS Rekognition

Age 30-40
Gender Male, 99.7%
Calm 99.9%
Surprised 6.3%
Fear 5.9%
Sad 2.2%
Confused 0%
Disgusted 0%
Angry 0%
Happy 0%

AWS Rekognition

Age 23-31
Gender Male, 99.9%
Happy 46%
Fear 20.1%
Surprised 12.7%
Calm 8.8%
Sad 5.9%
Disgusted 3.9%
Angry 2.6%
Confused 1.6%

AWS Rekognition

Age 21-29
Gender Female, 53.1%
Disgusted 95.1%
Surprised 6.5%
Fear 5.9%
Calm 3.1%
Sad 2.4%
Angry 0.3%
Confused 0.2%
Happy 0.1%

AWS Rekognition

Age 30-40
Gender Male, 94.7%
Sad 21.7%
Calm 20.9%
Fear 20.4%
Disgusted 19.2%
Surprised 14.3%
Happy 3.8%
Angry 3.7%
Confused 3%

AWS Rekognition

Age 30-40
Gender Male, 99.7%
Calm 98.6%
Surprised 6.4%
Fear 5.9%
Sad 2.2%
Confused 0.3%
Angry 0.2%
Disgusted 0.1%
Happy 0.1%

AWS Rekognition

Age 35-43
Gender Male, 90.3%
Calm 92.1%
Surprised 6.6%
Fear 6.2%
Sad 3.8%
Confused 0.8%
Disgusted 0.6%
Angry 0.5%
Happy 0.3%

AWS Rekognition

Age 33-41
Gender Male, 99.8%
Calm 98.6%
Surprised 6.4%
Fear 5.9%
Sad 2.3%
Confused 0.3%
Angry 0.1%
Disgusted 0.1%
Happy 0.1%

AWS Rekognition

Age 25-35
Gender Male, 80.5%
Calm 29.7%
Angry 27.8%
Sad 25.8%
Disgusted 15.2%
Surprised 8.6%
Fear 6.6%
Confused 1.7%
Happy 0.3%

AWS Rekognition

Age 25-35
Gender Male, 99.9%
Calm 87.4%
Surprised 7.4%
Fear 6%
Happy 4.9%
Sad 2.9%
Confused 2.2%
Disgusted 0.6%
Angry 0.5%

AWS Rekognition

Age 25-35
Gender Male, 96.2%
Calm 98.1%
Surprised 6.4%
Fear 5.9%
Sad 2.2%
Angry 0.7%
Confused 0.3%
Disgusted 0.2%
Happy 0.2%

AWS Rekognition

Age 23-31
Gender Male, 99.9%
Calm 99.9%
Surprised 6.3%
Fear 5.9%
Sad 2.2%
Angry 0%
Confused 0%
Happy 0%
Disgusted 0%

AWS Rekognition

Age 35-43
Gender Male, 99.7%
Calm 98.4%
Surprised 6.4%
Fear 5.9%
Sad 2.4%
Disgusted 0.2%
Confused 0.2%
Angry 0.1%
Happy 0.1%

Microsoft Cognitive Services

Age 47
Gender Male

Microsoft Cognitive Services

Age 51
Gender Male

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

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

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

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

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

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 likely

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 Likely

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

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

Google Vision

Surprise Very unlikely
Anger Very unlikely
Sorrow Very unlikely
Joy Very unlikely
Headwear Very unlikely
Blurred Very likely

Google Vision

Surprise Very unlikely
Anger Very unlikely
Sorrow Very unlikely
Joy Very unlikely
Headwear Very unlikely
Blurred Very unlikely

Feature analysis

Amazon

Person 98.6%
Painting 61.6%

Categories

Imagga

events parties 88%
streetview architecture 7.1%
people portraits 3.5%

Text analysis

Amazon

c47
EVG.P.S.16D.MAN.

Google

EVG.P.S.160.MAN. c47
.
c47
EVG.P.S.160.MAN