Human Generated Data

Title

Industrial Problems, Welfare Work: United States. Ohio. Dayton. National Cash Register Company: Welfare Institutions of the National Cash Register Company, Dayton, Ohio: Advantages for Employes' Children.
Date

c. 1903
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, 3.2002.514.B

Human Generated Data

Title

Industrial Problems, Welfare Work: United States. Ohio. Dayton. National Cash Register Company: Welfare Institutions of the National Cash Register Company, Dayton, Ohio: Advantages for Employes' Children.

People

Artist: Unidentified Artist,

Date

c. 1903

Classification

Photographs

Credit Line

Harvard Art Museums/Fogg Museum, Transfer from the Carpenter Center for the Visual Arts, Social Museum Collection, 3.2002.514.B

Machine Generated Data

Tags

Amazon
created on 2022-06-04

Poster 99.7
Advertisement 99.7
Person 96.7
Human 96.7
Person 96.6
Person 94.1
Person 93.3
Person 92
Person 88.9
Person 88.8
Person 88.8
Person 87
Person 86.8
Crowd 86
Person 85.3
Interior Design 84.4
Indoors 84.4
Person 84.2
Person 84.1
Nature 79.1
Person 78.5
Building 77.8
Outdoors 77.5
Person 77.5
Room 73.7
Housing 72.8
Person 72.8
Person 70.3
Shelter 67.9
Rural 67.9
Countryside 67.9
Person 66.2
People 64.7
Person 61.4
Person 60.5
Person 59.3
Paper 59.2
Cafeteria 57.1
Restaurant 57.1
Person 42.7

Imagga
created on 2022-06-04

web site 100
shop 26.5
city 22.4
architecture 21.9
mercantile establishment 20.3
building 20.1
old 16.7
night 16
tobacco shop 15.8
art 15.6
grunge 14.5
vintage 14
urban 14
pattern 13.7
place of business 13.5
business 13.3
texture 12.5
downtown 12.5
skyline 12.3
office 12
light 12
wall 12
skyscraper 11.5
retro 11.5
cityscape 11.3
travel 11.3
design 10.7
financial 10.7
window 10.5
modern 10.5
buildings 10.4
antique 10.4
ancient 10.4
black 10.2
dirty 9.9
comic book 9.9
finance 9.3
street 9.2
dark 9.2
scene 8.6
paper 8.6
glass 8.6
culture 8.5
town 8.3
exterior 8.3
tourism 8.2
rough 8.2
landscape 8.2
tower 8.1
toyshop 8
graphic 8
blackboard 7.9
collage 7.7
wallpaper 7.6
unique 7.6
famous 7.4
structure 7.4
letter 7.3
aged 7.2
landmark 7.2
colorful 7.2
history 7.1
surface 7
sky 7

Google
created on 2022-06-04

Building 90.2
Black 89.7
Window 88.3
Black-and-white 82.7
Font 82
Tree 80.2
Art 72.2
Monochrome 72
Monochrome photography 71.3
Facade 69.2
Poster 67.4
Room 66.2
Event 65.9
Plant 65.2
City 64.1
House 63.8
Publication 63
Stock photography 62.7
History 62.1
Advertising 60.2

Microsoft
created on 2022-06-04

text 99.9
person 83.9
black and white 60.6
screenshot 56.4
tree 53.6
store 44.8
several 11.7
shop 10.7
sale 8.9

Color Analysis

Face analysis

Amazon

Google

AWS Rekognition

Age 22-30
Gender Male, 77.8%
Calm 57%
Sad 24.5%
Angry 9.8%
Fear 7.6%
Surprised 7.2%
Happy 5.1%
Disgusted 1.9%
Confused 1.4%

AWS Rekognition

Age 35-43
Gender Male, 92.3%
Calm 39.8%
Fear 18.4%
Happy 15%
Sad 10.6%
Surprised 8.8%
Confused 5.9%
Angry 2.3%
Disgusted 1.9%

AWS Rekognition

Age 18-24
Gender Female, 93.7%
Calm 56.1%
Happy 24.7%
Surprised 7.3%
Fear 6.6%
Angry 6.3%
Sad 5.2%
Disgusted 2.1%
Confused 0.6%

AWS Rekognition

Age 6-14
Gender Female, 58.3%
Sad 99.8%
Fear 15.9%
Surprised 6.8%
Calm 6.1%
Confused 2.7%
Angry 2.6%
Disgusted 0.8%
Happy 0.4%

AWS Rekognition

Age 4-12
Gender Male, 98.2%
Calm 68.1%
Sad 20.2%
Fear 10.6%
Surprised 6.7%
Confused 1.7%
Angry 1.2%
Disgusted 0.9%
Happy 0.6%

AWS Rekognition

Age 18-26
Gender Male, 85.7%
Calm 74.5%
Sad 12.8%
Fear 6.8%
Surprised 6.8%
Angry 3.6%
Disgusted 2.7%
Confused 1.4%
Happy 1.1%

AWS Rekognition

Age 9-17
Gender Male, 61.8%
Calm 92.4%
Surprised 6.3%
Fear 5.9%
Sad 4.2%
Confused 2%
Angry 0.2%
Happy 0.2%
Disgusted 0.1%

AWS Rekognition

Age 4-12
Gender Male, 58.6%
Sad 100%
Calm 7.7%
Fear 6.9%
Surprised 6.5%
Confused 1.6%
Disgusted 1.1%
Angry 0.8%
Happy 0.7%

AWS Rekognition

Age 23-31
Gender Male, 87.6%
Calm 83.1%
Surprised 7.1%
Fear 6.2%
Happy 4.1%
Sad 4%
Confused 2.5%
Angry 2.1%
Disgusted 1.5%

AWS Rekognition

Age 18-24
Gender Female, 99.8%
Calm 96.8%
Surprised 6.4%
Fear 5.9%
Sad 2.5%
Angry 0.7%
Disgusted 0.5%
Confused 0.3%
Happy 0.2%

AWS Rekognition

Age 14-22
Gender Female, 97.4%
Sad 100%
Surprised 6.3%
Fear 5.9%
Calm 0.6%
Happy 0.5%
Disgusted 0.1%
Angry 0.1%
Confused 0%

AWS Rekognition

Age 20-28
Gender Male, 88.6%
Sad 80.1%
Calm 41.1%
Angry 13.5%
Fear 8.4%
Surprised 6.7%
Disgusted 0.9%
Confused 0.7%
Happy 0.7%

AWS Rekognition

Age 20-28
Gender Male, 99.6%
Calm 39.5%
Sad 31.6%
Surprised 18.6%
Happy 9.6%
Fear 7.4%
Disgusted 7%
Confused 2.9%
Angry 1.8%

AWS Rekognition

Age 26-36
Gender Male, 56%
Sad 94.4%
Calm 16.4%
Happy 12.6%
Fear 10.1%
Surprised 9.2%
Disgusted 5.3%
Angry 4.2%
Confused 1.4%

AWS Rekognition

Age 21-29
Gender Female, 80.6%
Fear 87.5%
Angry 8.5%
Sad 8.3%
Surprised 8.2%
Disgusted 5.5%
Happy 0.9%
Confused 0.8%
Calm 0.8%

AWS Rekognition

Age 14-22
Gender Male, 86.4%
Calm 41.4%
Fear 22.1%
Sad 16.3%
Confused 9.8%
Surprised 8.4%
Disgusted 3.6%
Happy 2%
Angry 1.7%

AWS Rekognition

Age 16-24
Gender Male, 71.4%
Calm 57.7%
Sad 17.8%
Surprised 8.2%
Confused 7.3%
Fear 6.4%
Angry 5.4%
Disgusted 4.6%
Happy 4.3%

AWS Rekognition

Age 26-36
Gender Male, 95.4%
Calm 91.3%
Surprised 8.2%
Fear 6.4%
Sad 2.2%
Happy 1.4%
Disgusted 1.4%
Confused 0.5%
Angry 0.3%

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 Unlikely

Google Vision

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

Google Vision

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

Google Vision

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

Feature analysis

Amazon

Poster 99.7%
Person 96.7%

Categories

Imagga

streetview architecture 99.9%

Captions

Microsoft
created on 2022-06-04

graphical user interface, website 99.7%

Text analysis

Amazon

CLUB
FOR
N.C.R.
N.C.R. HOUSE EXTENSION
HOUSE
CLASS
EXTENSION
Cash
OF
N.C.R. HOUSE OF USEFULLNESS
ADVANTACES
CIRLS' CLUB
CHILDREN.
LUB
USEFULLNESS
Register
of
CIRLS'
BOYS' LUB
National
the
Ohio.
Welfare
Institutions
Welfare Institutions of the National Cash Register Company,
COOKING CLASS
BOYS'
ADVANTACES FOR EMPLOYES* CHILDREN.
COOKING
DANCINC CLASS
Dayton, Ohio.
Company,
EMPLOYES*
DANCINC
Dayton,
RES

Google

Welfare Institutions of the National Cash Register Company, Dayton, Ohio. N.C.R. HOUSE EXTENSION N.C.R. HOUSE OF USEFULLNESS BOYS' LUB COOKING CLASS D CIRLS CLUB DANCING CLASS ADVANTAGES FOR EMPLOYES CHILDREN.
Welfare
Institutions
of
the
National
Cash
Register
Company
,
Dayton
Ohio
.
N.C.R.
HOUSE
EXTENSION
OF
USEFULLNESS
BOYS
'
LUB
COOKING
CLASS
D
CIRLS
CLUB
DANCING
ADVANTAGES
FOR
EMPLOYES
CHILDREN