Human Generated Data

Title

Social Settlements: United States. Pennsylvania. Philadelphia. "The Lighthouse": The Lighthouse, Philadelphia, Pa.: Girls Clubs. A business meeting.

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, 3.2002.3230

Human Generated Data

Title

Social Settlements: United States. Pennsylvania. Philadelphia. "The Lighthouse": The Lighthouse, Philadelphia, Pa.: Girls Clubs. A business meeting.

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, 3.2002.3230

Machine Generated Data

Tags

Amazon
created on 2019-06-07

Human 97
Person 97
Person 96.4
Person 93.5
Indoors 89.8
Crowd 88
Person 87.7
Person 86.5
Room 83.2
Person 79.1
Face 77.6
People 72.9
Person 70
Person 65.7
Text 64.5
Photo 64.2
Photography 64.2
Portrait 61.5
Advertisement 55.5
Theater 55
Person 48.7

Clarifai
created on 2019-06-07

people 97.8
blank 93.3
woman 92.6
adult 92.3
paper 92
man 91.2
wear 91.1
picture frame 90.1
art 89.8
retro 88.6
illustration 87.3
desktop 86.3
group 83.4
empty 82.8
painting 82.5
bill 81.6
exhibition 80.6
museum 78.9
portrait 78.2
business 78.2

Imagga
created on 2019-06-07

mug shot 45.2
envelope 44.2
photograph 36.4
money 31.5
representation 29.6
currency 27.8
cash 27.5
container 27.4
jersey 25.8
paper 23.7
business 23.1
creation 22.9
dollar 21.4
banking 21.2
bill 20.9
bank 20.6
shirt 19.5
finance 19.4
vintage 19
old 18.8
financial 18.7
retro 16.4
garment 15.6
book jacket 15.6
exchange 15.3
wealth 14.4
savings 14
letter 13.8
dollars 13.5
one 13.4
stamp 12.9
banknotes 12.7
banknote 12.6
design 12.4
art 12.1
jacket 12.1
global 11.8
covering 11.7
pay 11.5
mail 11.5
rich 11.2
card 11.1
note 11
world 11
market 10.7
hundred 10.7
post 10.5
blank 10.3
close 10.3
black 10.2
economy 10.2
postmark 9.9
postage 9.8
us 9.6
notes 9.6
clothing 9.4
symbol 9.4
man 9.4
wrapping 9.2
investment 9.2
message 9.1
aged 9
sign 9
postal 8.8
bills 8.7
states 8.7
payment 8.7
antique 8.7
drawing 8.6
map 8.6
board 8.3
earth 8.2
happy 8.1
funds 7.8
queen 7.8
frame 7.8
people 7.8
finances 7.7
grunge 7.7
international 7.6
united 7.6
capital 7.6
stock 7.5
commerce 7.5
silhouette 7.4
office 7.2
male 7.1
book 7.1

Google
created on 2019-06-07

Microsoft
created on 2019-06-07

person 94.8
woman 76.7
clothing 62.4
gallery 61.3
envelope 50.5
different 47
several 10.7

Color Analysis

Face analysis

Amazon

AWS Rekognition

Age 15-25
Gender Female, 50.4%
Sad 49.9%
Calm 49.5%
Angry 49.8%
Happy 49.6%
Disgusted 49.5%
Confused 49.5%
Surprised 49.6%

AWS Rekognition

Age 26-43
Gender Female, 50.3%
Surprised 49.5%
Happy 49.5%
Sad 50.4%
Confused 49.5%
Disgusted 49.5%
Angry 49.5%
Calm 49.5%

AWS Rekognition

Age 23-38
Gender Male, 50.2%
Surprised 49.5%
Angry 49.7%
Confused 49.6%
Sad 50%
Calm 49.6%
Disgusted 49.6%
Happy 49.6%

AWS Rekognition

Age 35-52
Gender Female, 50.3%
Sad 50.5%
Surprised 49.5%
Disgusted 49.5%
Calm 49.5%
Angry 49.5%
Happy 49.5%
Confused 49.5%

AWS Rekognition

Age 20-38
Gender Female, 50.4%
Happy 49.6%
Angry 49.6%
Surprised 49.6%
Disgusted 49.6%
Confused 49.5%
Calm 49.5%
Sad 50%

AWS Rekognition

Age 20-38
Gender Female, 50.1%
Calm 49.6%
Confused 49.6%
Happy 49.8%
Disgusted 49.6%
Sad 49.6%
Angry 49.7%
Surprised 49.6%

AWS Rekognition

Age 6-13
Gender Female, 50.4%
Confused 49.5%
Sad 49.9%
Angry 49.6%
Disgusted 49.6%
Happy 49.6%
Surprised 49.5%
Calm 49.8%

AWS Rekognition

Age 20-38
Gender Male, 50.2%
Happy 49.7%
Surprised 49.6%
Sad 49.8%
Confused 49.5%
Disgusted 49.5%
Calm 49.8%
Angry 49.6%

AWS Rekognition

Age 29-45
Gender Female, 50.5%
Surprised 49.6%
Happy 49.5%
Calm 49.9%
Angry 49.6%
Disgusted 49.5%
Sad 49.8%
Confused 49.6%

AWS Rekognition

Age 15-25
Gender Female, 50.4%
Angry 49.6%
Surprised 49.6%
Sad 49.8%
Disgusted 49.6%
Confused 49.6%
Happy 49.6%
Calm 49.7%

AWS Rekognition

Age 35-53
Gender Female, 50.3%
Angry 49.5%
Sad 49.7%
Happy 49.5%
Surprised 49.5%
Disgusted 49.5%
Confused 49.5%
Calm 50.2%

AWS Rekognition

Age 16-27
Gender Female, 50.1%
Calm 49.6%
Surprised 49.6%
Confused 49.6%
Angry 50%
Sad 49.7%
Happy 49.5%
Disgusted 49.5%

AWS Rekognition

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

AWS Rekognition

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

AWS Rekognition

Age 26-43
Gender Male, 50.1%
Confused 49.5%
Disgusted 49.6%
Surprised 49.6%
Sad 49.6%
Happy 49.8%
Angry 49.6%
Calm 49.8%

AWS Rekognition

Age 35-55
Gender Female, 50.4%
Happy 49.8%
Disgusted 49.6%
Sad 49.8%
Angry 49.6%
Confused 49.6%
Calm 49.7%
Surprised 49.6%

AWS Rekognition

Age 6-13
Gender Female, 50.4%
Disgusted 49.5%
Confused 49.6%
Angry 49.6%
Calm 49.8%
Sad 49.8%
Surprised 49.6%
Happy 49.6%

AWS Rekognition

Age 20-38
Gender Male, 50%
Angry 49.6%
Sad 49.7%
Happy 49.5%
Surprised 49.5%
Disgusted 49.5%
Confused 49.5%
Calm 50.2%

AWS Rekognition

Age 35-53
Gender Female, 50.5%
Sad 49.7%
Confused 49.6%
Calm 49.9%
Angry 49.6%
Disgusted 49.5%
Happy 49.6%
Surprised 49.6%

AWS Rekognition

Age 35-52
Gender Female, 50.3%
Disgusted 49.5%
Surprised 49.6%
Angry 49.6%
Happy 49.6%
Sad 50.1%
Calm 49.6%
Confused 49.5%

AWS Rekognition

Age 20-38
Gender Male, 50%
Confused 49.6%
Sad 49.9%
Angry 49.8%
Disgusted 49.5%
Happy 49.6%
Surprised 49.6%
Calm 49.6%

AWS Rekognition

Age 26-43
Gender Female, 50.4%
Surprised 49.6%
Disgusted 49.5%
Sad 49.7%
Angry 49.5%
Confused 49.6%
Calm 50.1%
Happy 49.5%

AWS Rekognition

Age 20-38
Gender Female, 50.2%
Happy 49.5%
Sad 50.1%
Surprised 49.5%
Angry 49.8%
Calm 49.5%
Disgusted 49.5%
Confused 49.5%

AWS Rekognition

Age 14-25
Gender Female, 50.1%
Surprised 49.6%
Disgusted 49.5%
Happy 49.5%
Sad 49.9%
Angry 49.6%
Calm 49.8%
Confused 49.6%

AWS Rekognition

Age 26-43
Gender Female, 50%
Calm 49.7%
Disgusted 49.6%
Sad 49.8%
Happy 49.6%
Surprised 49.6%
Angry 49.7%
Confused 49.5%

AWS Rekognition

Age 11-18
Gender Female, 50.3%
Disgusted 49.5%
Calm 49.9%
Confused 49.6%
Sad 49.9%
Angry 49.5%
Surprised 49.5%
Happy 49.5%

AWS Rekognition

Age 20-38
Gender Female, 50.1%
Surprised 49.5%
Happy 49.5%
Calm 49.7%
Angry 49.6%
Disgusted 49.5%
Sad 50.2%
Confused 49.5%

AWS Rekognition

Age 23-38
Gender Female, 50.5%
Disgusted 49.6%
Angry 49.6%
Surprised 49.6%
Sad 49.7%
Calm 49.7%
Confused 49.5%
Happy 49.7%

AWS Rekognition

Age 26-43
Gender Female, 50.2%
Disgusted 49.5%
Confused 49.6%
Happy 49.7%
Calm 50%
Surprised 49.5%
Angry 49.6%
Sad 49.6%

Feature analysis

Amazon

Person 97%

Categories

Imagga

paintings art 77.3%
food drinks 9.7%
pets animals 9.6%
text visuals 2.7%

Captions

Microsoft
created on 2019-06-07

a display screen 45.1%
a screen shot of a computer 45%
a close up of a screen 44.9%

Text analysis

Amazon

The
Lighthouse,
The Lighthouse, Philadelphia, Pa.
Pa.
Philadelphia,
Clubs
Sik' Clubs
GS 6q6
Sik'

Google

G Se The Lighthouse, Philadelphia, Pa. Girls Clubs a business meeting
G
Se
The
Lighthouse,
Philadelphia,
Pa.
Girls
Clubs
a
business
meeting