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

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

Machine Generated Data

Tags

Amazon
created on 2022-06-04

Person 99.3
Human 99.3
Person 96.4
Person 95.1
Person 94.1
Building 94.1
Person 93.9
Factory 93.9
Person 88.9
Person 88.8
Workshop 87.2
Person 85.9
Person 83.4
Person 80.4
Person 79.3
Room 78.5
Indoors 78.5
Person 78.2
Crowd 76.7
Person 75.1
Person 73.5
Person 70.3
Person 70
Assembly Line 69.7
Person 62.7
People 61.3
Person 60.5
School 58.8
Person 57.9
Classroom 57
Audience 55.6
Court 55.1

Imagga
created on 2022-06-04

barbershop 100
shop 100
mercantile establishment 88.9
place of business 59.2
establishment 29.6
building 24.2
shoe shop 23
old 21.6
window 20.1
architecture 19.5
city 17.4
house 16.7
wall 16.2
urban 14
historic 12.8
travel 12.7
history 12.5
art 12.4
business 12.1
men 12
street 12
tourism 11.5
man 11.4
home 11.2
vintage 10.7
people 10.6
structure 10.5
antique 10.4
ancient 10.4
historical 10.3
interior 9.7
chair 9.3
aged 9
sculpture 8.6
brick 8.5
stone 8.4
wood 8.3
dirty 8.1
salon 8.1
light 8
room 7.8
glass 7.8
lamp 7.6
decoration 7.5
monument 7.5
town 7.4
style 7.4
black 7.2
paper 7
indoors 7

Google
created on 2022-06-04

Vintage clothing 76.6
Chair 75.4
Monochrome 74.3
Suit 73.9
Event 69.2
Monochrome photography 69.1
Room 68.1
Table 65.3
History 65.2
Stock photography 63.7
Art 63.6
Sitting 60.6
Photo caption 55.4
Crew 54.3
Photographic paper 50.5

Microsoft
created on 2022-06-04

text 99.2
person 97.8
clothing 93.7
man 84.1
group 78.8
old 63
people 62.6
clothes 16.7
several 12.2

Color Analysis

Face analysis

Amazon

Google

AWS Rekognition

Age 16-24
Gender Female, 62.4%
Sad 100%
Calm 10.7%
Fear 7.3%
Surprised 6.4%
Happy 0.7%
Disgusted 0.6%
Angry 0.4%
Confused 0.2%

AWS Rekognition

Age 23-33
Gender Male, 97.2%
Happy 61.8%
Calm 27.2%
Surprised 7%
Disgusted 6.7%
Fear 6.2%
Sad 2.6%
Angry 0.5%
Confused 0.3%

AWS Rekognition

Age 19-27
Gender Female, 99.6%
Calm 58.4%
Fear 12.5%
Angry 8.7%
Surprised 7.6%
Disgusted 6.9%
Happy 5.6%
Sad 4.2%
Confused 0.7%

AWS Rekognition

Age 36-44
Gender Male, 99.9%
Calm 95.9%
Surprised 6.5%
Fear 6%
Sad 2.7%
Angry 0.8%
Confused 0.3%
Disgusted 0.3%
Happy 0.2%

AWS Rekognition

Age 20-28
Gender Male, 94.1%
Fear 44.6%
Sad 36.4%
Calm 27.4%
Surprised 6.8%
Confused 4.7%
Disgusted 4.5%
Angry 0.8%
Happy 0.7%

AWS Rekognition

Age 25-35
Gender Male, 99.5%
Sad 100%
Surprised 6.5%
Angry 6.4%
Fear 6.1%
Disgusted 2.8%
Calm 2.2%
Happy 2%
Confused 1.1%

AWS Rekognition

Age 26-36
Gender Female, 95.9%
Calm 88.1%
Fear 9.1%
Surprised 6.5%
Sad 2.5%
Disgusted 1.6%
Happy 1.2%
Angry 0.3%
Confused 0.3%

AWS Rekognition

Age 25-35
Gender Male, 52.7%
Calm 66.9%
Fear 23.8%
Surprised 8.3%
Sad 3.2%
Angry 1.8%
Disgusted 0.4%
Confused 0.3%
Happy 0.2%

AWS Rekognition

Age 21-29
Gender Male, 99.9%
Calm 98.5%
Surprised 6.3%
Fear 6.3%
Sad 2.2%
Disgusted 0.1%
Angry 0.1%
Happy 0%
Confused 0%

AWS Rekognition

Age 16-22
Gender Female, 93.4%
Calm 77.1%
Confused 17.4%
Surprised 6.4%
Fear 6.3%
Sad 2.8%
Happy 1.1%
Angry 0.6%
Disgusted 0.5%

AWS Rekognition

Age 33-41
Gender Male, 100%
Calm 96.9%
Surprised 6.4%
Fear 6%
Sad 2.6%
Happy 0.7%
Angry 0.3%
Disgusted 0.2%
Confused 0.1%

AWS Rekognition

Age 20-28
Gender Male, 99.1%
Calm 81.8%
Confused 7.8%
Surprised 6.6%
Fear 6.4%
Sad 3.3%
Disgusted 2.9%
Angry 1.4%
Happy 1%

AWS Rekognition

Age 28-38
Gender Male, 99.3%
Calm 96.6%
Surprised 6.4%
Fear 6%
Sad 2.7%
Disgusted 0.7%
Angry 0.3%
Confused 0.3%
Happy 0.2%

AWS Rekognition

Age 21-29
Gender Male, 97.7%
Surprised 83.6%
Calm 19.8%
Happy 9.8%
Confused 9%
Fear 6.4%
Sad 4.7%
Angry 2.4%
Disgusted 1.5%

AWS Rekognition

Age 23-33
Gender Male, 99.6%
Sad 70%
Fear 23.3%
Disgusted 19.9%
Calm 8.8%
Surprised 7.7%
Confused 6.2%
Angry 4.8%
Happy 1.6%

AWS Rekognition

Age 27-37
Gender Female, 76.2%
Calm 84.2%
Surprised 6.8%
Angry 6.3%
Fear 6.2%
Sad 3.9%
Disgusted 1.7%
Happy 1.1%
Confused 0.5%

AWS Rekognition

Age 21-29
Gender Male, 97.8%
Calm 54.4%
Happy 21.1%
Disgusted 8.1%
Surprised 7.2%
Fear 6.4%
Sad 5.4%
Angry 4.2%
Confused 2.3%

AWS Rekognition

Age 16-22
Gender Male, 91.5%
Calm 82.2%
Surprised 6.7%
Fear 6.3%
Angry 4.9%
Sad 4.2%
Happy 3.9%
Confused 1.4%
Disgusted 1%

AWS Rekognition

Age 29-39
Gender Male, 99.4%
Sad 73.1%
Calm 59.2%
Fear 7.7%
Surprised 6.5%
Angry 1.3%
Disgusted 0.5%
Happy 0.5%
Confused 0.1%

AWS Rekognition

Age 10-18
Gender Male, 81.7%
Calm 89.3%
Surprised 6.7%
Fear 6.3%
Angry 3.5%
Sad 3.2%
Confused 1.2%
Happy 0.7%
Disgusted 0.5%

AWS Rekognition

Age 22-30
Gender Male, 90.8%
Calm 76.5%
Sad 28.2%
Surprised 6.5%
Fear 6.2%
Happy 0.7%
Confused 0.5%
Disgusted 0.3%
Angry 0.3%

AWS Rekognition

Age 29-39
Gender Male, 59.5%
Fear 91.1%
Calm 14.5%
Surprised 6.6%
Sad 4%
Angry 1.6%
Disgusted 1.3%
Happy 0.9%
Confused 0.5%

AWS Rekognition

Age 4-12
Gender Male, 58.4%
Calm 82.2%
Fear 7.4%
Surprised 6.6%
Happy 4.1%
Angry 3.8%
Sad 3.2%
Disgusted 2%
Confused 0.6%

AWS Rekognition

Age 22-30
Gender Male, 99.7%
Calm 69.9%
Sad 35.5%
Surprised 6.6%
Fear 6.4%
Angry 2.3%
Happy 1.2%
Confused 1.1%
Disgusted 0.8%

AWS Rekognition

Age 11-19
Gender Male, 81.1%
Calm 79%
Surprised 6.8%
Fear 6.5%
Sad 4.8%
Angry 4.8%
Happy 3.8%
Confused 2.7%
Disgusted 1.1%

AWS Rekognition

Age 16-22
Gender Male, 94.3%
Calm 95.5%
Surprised 6.4%
Fear 6.1%
Sad 2.8%
Angry 1%
Disgusted 0.4%
Happy 0.2%
Confused 0.1%

AWS Rekognition

Age 27-37
Gender Male, 99.9%
Calm 83.2%
Fear 8.5%
Surprised 6.7%
Happy 6.3%
Sad 2.5%
Angry 0.9%
Disgusted 0.9%
Confused 0.9%

AWS Rekognition

Age 28-38
Gender Male, 57.2%
Sad 97.2%
Surprised 19%
Fear 11%
Calm 9.5%
Angry 7.5%
Disgusted 3.6%
Happy 2.2%
Confused 0.7%

AWS Rekognition

Age 24-34
Gender Male, 95%
Calm 80.6%
Sad 8.5%
Fear 6.7%
Surprised 6.3%
Happy 3.6%
Disgusted 2.4%
Confused 0.6%
Angry 0.4%

AWS Rekognition

Age 6-12
Gender Male, 99.7%
Sad 46.7%
Calm 26.3%
Fear 25.9%
Angry 12.3%
Surprised 7.9%
Happy 4.3%
Disgusted 2%
Confused 0.8%

AWS Rekognition

Age 33-41
Gender Male, 100%
Calm 80.6%
Angry 10.3%
Surprised 6.6%
Fear 6.1%
Confused 4.2%
Sad 2.9%
Disgusted 1.1%
Happy 0.4%

AWS Rekognition

Age 22-30
Gender Male, 99.5%
Calm 88%
Surprised 8.3%
Fear 6.3%
Confused 4.2%
Sad 2.4%
Angry 1.2%
Happy 0.7%
Disgusted 0.5%

AWS Rekognition

Age 18-26
Gender Male, 96.3%
Calm 65.4%
Angry 10.8%
Surprised 8.3%
Fear 7.6%
Sad 7.3%
Happy 2.9%
Disgusted 2.4%
Confused 1.9%

AWS Rekognition

Age 14-22
Gender Male, 97.4%
Calm 88.5%
Surprised 7.4%
Fear 6.3%
Angry 4.2%
Sad 3%
Disgusted 0.9%
Happy 0.6%
Confused 0.3%

AWS Rekognition

Age 18-24
Gender Female, 54.1%
Calm 73.8%
Surprised 8.3%
Fear 6.4%
Sad 5.9%
Angry 5.4%
Happy 5.1%
Disgusted 1.9%
Confused 1.6%

AWS Rekognition

Age 23-33
Gender Male, 99.7%
Calm 48.7%
Angry 32.1%
Fear 7.6%
Surprised 7.2%
Sad 4.6%
Happy 2.9%
Confused 2.7%
Disgusted 2.5%

AWS Rekognition

Age 19-27
Gender Male, 99.9%
Calm 93.2%
Surprised 6.7%
Fear 6%
Sad 2.4%
Angry 1.9%
Disgusted 1.5%
Happy 1.1%
Confused 0.4%

AWS Rekognition

Age 20-28
Gender Male, 99.4%
Calm 95.3%
Surprised 6.3%
Fear 5.9%
Sad 2.7%
Angry 1.8%
Confused 0.5%
Disgusted 0.2%
Happy 0.1%

AWS Rekognition

Age 23-33
Gender Male, 74.6%
Calm 99.3%
Surprised 6.3%
Fear 5.9%
Sad 2.2%
Happy 0.2%
Angry 0.1%
Disgusted 0%
Confused 0%

AWS Rekognition

Age 18-24
Gender Male, 54.7%
Surprised 39%
Calm 27.9%
Angry 20.4%
Fear 10.9%
Sad 8.2%
Happy 2.8%
Disgusted 2.4%
Confused 0.4%

AWS Rekognition

Age 11-19
Gender Female, 75%
Sad 89.7%
Calm 43.8%
Fear 8.5%
Surprised 6.5%
Confused 3.1%
Angry 2%
Disgusted 1.6%
Happy 1.1%

AWS Rekognition

Age 18-26
Gender Male, 62.4%
Calm 80.9%
Surprised 7.1%
Fear 7.1%
Sad 6.9%
Happy 2%
Confused 1.9%
Disgusted 1.1%
Angry 0.9%

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 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

Feature analysis

Amazon

Person 99.3%

Categories

Imagga

paintings art 67.8%
streetview architecture 21.3%
text visuals 5.6%
interior objects 3.9%

Text analysis

Amazon

English
to
Public
Lesson
School
English Lesson to Foreigners.
8
P.S.
Public School N°160 Manhattan
N°160
Foreigners.
Evening
Manhattan
c47
Eva P.S. 160 MAN
160 MAN
Eva
EVC.P.S.160.Man.

Google

Eve PS 160 Max. c47 English Lesson to Foreigners. Evening Public School N° 160 Manhattan. EVG PS.160. MAN
Eve
PS
160
Max
.
c47
English
Lesson
to
Foreigners
Evening
Public
School
N
°
Manhattan
EVG
PS.160
MAN