Human Generated Data

Title

Untitled (parade with "Lincoln penny" float , large crowd watching)

Date

c. 1950

People

Artist: Jack Rodden Studio, American 1914 - 2016

Classification

Photographs

Credit Line

Harvard Art Museums/Fogg Museum, Transfer from the Carpenter Center for the Visual Arts, American Professional Photographers Collection, 4.2002.13526

Human Generated Data

Title

Untitled (parade with "Lincoln penny" float , large crowd watching)

People

Artist: Jack Rodden Studio, American 1914 - 2016

Date

c. 1950

Classification

Photographs

Machine Generated Data

Tags

Amazon
created on 2022-02-04

Person 95.7
Human 95.7
Person 94.7
Person 90.8
Person 90.2
Person 87.1
Person 85.3
Person 83.9
Poster 77.9
Advertisement 77.9
Crowd 75.4
People 74.3
Text 72.7
Person 68.5
Person 63.4
Urban 62.5
Amusement Park 62.2
Theme Park 62.2
Clothing 62
Apparel 62
Icing 60.5
Cake 60.5
Dessert 60.5
Cream 60.5
Creme 60.5
Food 60.5
Building 56.4
Person 55.1
Person 42.2

Imagga
created on 2022-02-04

freight car 100
car 100
wheeled vehicle 86.4
vehicle 55.2
conveyance 28.5
architecture 27.3
business 26.7
city 24.9
building 19.9
blackboard 19.7
finance 17.7
urban 17.5
grunge 17
drawing 16.8
construction 15.4
downtown 15.4
success 15.3
skyline 15.2
structure 14.9
town 14.8
sign 14.3
cityscape 14.2
design 14.1
money 13.6
financial 13.4
technology 13.4
investment 12.8
sky 12.8
old 12.5
house 12.5
sketch 12.3
data 11.9
landmark 11.7
tower 11.6
silhouette 11.6
vintage 11.6
idea 11.6
plan 11.3
travel 11.3
art 11.1
paper 11
black 10.8
retro 10.7
office 10.5
modern 10.5
texture 10.4
antique 10.4
scene 10.4
pattern 10.3
graphic 10.2
symbol 10.1
dirty 9.9
currency 9.9
digital 9.7
decoration 9.7
district 9.7
diagram 9.6
bridge 9.5
buildings 9.5
street 9.2
graffito 9.2
bank 9.1
text 8.7
light 8.7
graph 8.6
skyscraper 8.6
chart 8.6
dollar 8.4
market 8
home 8
board 7.8
center 7.7
project 7.7
panorama 7.6
solution 7.6
stock 7.5
famous 7.4
company 7.4
style 7.4
computer 7.2
wealth 7.2
night 7.1
growth 7

Google
created on 2022-02-04

Microsoft
created on 2022-02-04

text 97.2
white 71.2
old 44.1

Face analysis

Amazon

AWS Rekognition

Age 23-31
Gender Male, 89.8%
Calm 83.8%
Confused 6.7%
Sad 4.5%
Fear 1.8%
Angry 1.2%
Surprised 1%
Happy 0.7%
Disgusted 0.3%

AWS Rekognition

Age 4-12
Gender Female, 98.6%
Sad 59.3%
Disgusted 21.2%
Calm 14%
Angry 1.9%
Fear 1.3%
Surprised 1%
Confused 0.7%
Happy 0.7%

AWS Rekognition

Age 23-33
Gender Male, 99.3%
Happy 39.6%
Fear 27.5%
Calm 21.8%
Angry 6.6%
Surprised 1.7%
Sad 1.4%
Disgusted 1%
Confused 0.4%

AWS Rekognition

Age 23-33
Gender Female, 66.4%
Calm 79.5%
Happy 8.1%
Surprised 5%
Sad 2.8%
Angry 1.5%
Confused 1.5%
Fear 1%
Disgusted 0.6%

AWS Rekognition

Age 27-37
Gender Female, 54.3%
Calm 57.4%
Sad 21.7%
Fear 9.4%
Confused 3.7%
Angry 2.4%
Happy 2.3%
Surprised 1.8%
Disgusted 1.3%

AWS Rekognition

Age 22-30
Gender Female, 54.2%
Calm 92.4%
Sad 4.7%
Confused 0.7%
Angry 0.5%
Surprised 0.5%
Fear 0.5%
Disgusted 0.4%
Happy 0.3%

AWS Rekognition

Age 12-20
Gender Male, 91.3%
Calm 70.7%
Surprised 16.9%
Fear 4.1%
Disgusted 2.3%
Sad 2.1%
Angry 1.6%
Confused 1.3%
Happy 0.9%

AWS Rekognition

Age 13-21
Gender Male, 97%
Calm 86.7%
Surprised 3.2%
Sad 2.7%
Disgusted 2.2%
Happy 1.9%
Angry 1.8%
Confused 1%
Fear 0.5%

AWS Rekognition

Age 21-29
Gender Female, 87.4%
Happy 38%
Calm 16.2%
Confused 15%
Sad 14.5%
Angry 6.5%
Fear 3.9%
Disgusted 3.2%
Surprised 2.7%

AWS Rekognition

Age 23-33
Gender Female, 79%
Calm 52.5%
Happy 37.9%
Confused 2.9%
Surprised 1.9%
Disgusted 1.9%
Fear 1.2%
Angry 0.9%
Sad 0.8%

AWS Rekognition

Age 23-31
Gender Female, 69.7%
Calm 50.3%
Disgusted 21.3%
Fear 11.1%
Sad 6.1%
Angry 5.8%
Confused 2.5%
Happy 1.8%
Surprised 1.1%

AWS Rekognition

Age 22-30
Gender Male, 99.3%
Calm 58.3%
Disgusted 11.9%
Confused 8.6%
Fear 6.9%
Happy 5.4%
Angry 3.6%
Sad 3%
Surprised 2.2%

AWS Rekognition

Age 18-26
Gender Male, 94.3%
Happy 76.6%
Angry 10%
Calm 5.7%
Fear 3.5%
Sad 1.8%
Surprised 0.9%
Confused 0.8%
Disgusted 0.8%

AWS Rekognition

Age 26-36
Gender Male, 98.7%
Calm 47%
Disgusted 21.5%
Angry 6.5%
Sad 6.3%
Confused 5.2%
Surprised 5.1%
Fear 4.4%
Happy 4.1%

AWS Rekognition

Age 12-20
Gender Female, 58.2%
Calm 73.5%
Happy 11.3%
Sad 6.6%
Disgusted 3.1%
Fear 2.5%
Angry 1.3%
Surprised 1.1%
Confused 0.6%

AWS Rekognition

Age 25-35
Gender Male, 86.3%
Disgusted 37.8%
Sad 20.4%
Fear 19.7%
Calm 11.4%
Angry 5.1%
Happy 3.2%
Confused 1.4%
Surprised 1.1%

AWS Rekognition

Age 10-18
Gender Male, 80.3%
Calm 79.9%
Angry 6.8%
Sad 5.4%
Disgusted 2.3%
Confused 1.9%
Surprised 1.4%
Happy 1.2%
Fear 1.1%

AWS Rekognition

Age 26-36
Gender Male, 82%
Calm 98.9%
Angry 0.3%
Sad 0.3%
Happy 0.2%
Surprised 0.1%
Fear 0.1%
Confused 0.1%
Disgusted 0%

AWS Rekognition

Age 18-26
Gender Male, 91.4%
Surprised 29.3%
Calm 22.7%
Fear 17%
Sad 9.5%
Angry 6.9%
Disgusted 6.6%
Confused 4.4%
Happy 3.6%

AWS Rekognition

Age 12-20
Gender Female, 95.5%
Calm 60.7%
Sad 25.3%
Surprised 2.7%
Happy 2.6%
Confused 2.6%
Angry 2.5%
Disgusted 2.2%
Fear 1.5%

AWS Rekognition

Age 23-33
Gender Male, 65%
Fear 34%
Calm 30.6%
Happy 17.5%
Sad 6.8%
Disgusted 4.6%
Surprised 3.5%
Angry 2.2%
Confused 0.8%

AWS Rekognition

Age 23-31
Gender Male, 55%
Calm 81.6%
Fear 7.6%
Sad 3.2%
Happy 2.6%
Confused 2.1%
Surprised 1.8%
Disgusted 0.6%
Angry 0.5%

AWS Rekognition

Age 21-29
Gender Male, 89.8%
Confused 26.1%
Happy 24%
Calm 18.4%
Sad 8.8%
Surprised 7.7%
Fear 6.4%
Angry 5.2%
Disgusted 3.4%

AWS Rekognition

Age 18-26
Gender Male, 95.3%
Calm 67.7%
Confused 9.2%
Fear 9.2%
Surprised 7%
Sad 3.3%
Happy 1.6%
Angry 1.2%
Disgusted 0.8%

AWS Rekognition

Age 19-27
Gender Male, 97.1%
Sad 41.9%
Happy 12%
Fear 11.6%
Disgusted 11.4%
Calm 9.7%
Angry 8%
Surprised 3.7%
Confused 1.8%

AWS Rekognition

Age 20-28
Gender Male, 96.9%
Surprised 26%
Calm 25.9%
Angry 18.6%
Happy 13.7%
Fear 9%
Disgusted 2.9%
Sad 2%
Confused 1.9%

Feature analysis

Amazon

Person 95.7%
Poster 77.9%

Captions

Microsoft

a group of people standing in front of a building 76.1%
a group of people in front of a building 76%
an old photo of a group of people standing in front of a building 70.5%

Text analysis

Amazon

1953
WORTH
THRO
WILLIAMS
TRUST
R
Ray
WORTH CO.
R WO
СБЕ
CO.
K
VO
MODEL
WO
ED. WILLIAMS
E8
Ball Ray
WB
ED.
2J
Ball
IN-COL NE

Google

CO.
RE
C6E 2ODEL ED. WILLIAMS WORTH CO. IN COD RE TRUST 1953 O THRO VO R WOK
2ODEL
R
O
THRO
C6E
WILLIAMS
WORTH
COD
VO
ED.
IN
TRUST
1953
WOK