Human Generated Data

Title

Industrial Problems, Welfare Work: United States. New York. Brooklyn: Rapid Transit Company: Provision of Recreational Facilities for Employees. Brooklyn Rapid Transit Co.: Band of Employees Benefit Association, February 1906.
Date

1906
People

Artist: Byron Company, American active c. 1890 - 1940
Classification

Photographs
Credit Line

Harvard Art Museums/Fogg Museum, Transfer from the Carpenter Center for the Visual Arts, Social Museum Collection, 3.2002.2304

Human Generated Data

Title

Industrial Problems, Welfare Work: United States. New York. Brooklyn: Rapid Transit Company: Provision of Recreational Facilities for Employees. Brooklyn Rapid Transit Co.: Band of Employees Benefit Association, February 1906.

People

Artist: Byron Company, American active c. 1890 - 1940

Date

1906

Classification

Photographs

Credit Line

Harvard Art Museums/Fogg Museum, Transfer from the Carpenter Center for the Visual Arts, Social Museum Collection, 3.2002.2304

Machine Generated Data

Tags

Amazon
created on 2019-06-04

Advertisement 85.4
Poster 85.4
Text 75.1
Rug 72.3
Home Decor 71.3
Furniture 64.6
Collage 62.8
Paper 62.8
Brochure 62.8
Flyer 62.8
Label 58.7
Cake 58.3
Icing 58.3
Food 58.3
Creme 58.3
Cream 58.3
Dessert 58.3

Clarifai
created on 2019-06-04

vintage 96.7
retro 96.5
illustration 96.4
old 95.7
design 94.8
print 93.6
art 93.4
paper 93.4
no person 93.2
antique 92.5
people 91.3
collection 90.9
ancient 89.4
architecture 88.9
building 88.7
bill 87.4
painting 85.1
desktop 84.7
picture frame 84.6
decoration 83.5

Imagga
created on 2019-06-04

envelope 91.1
container 61.8
retro 32.8
old 32.1
grunge 31.5
vintage 30.6
frame 28.3
paper 27.5
antique 26.8
ancient 21.6
texture 21.5
border 20.8
aged 19
graphic 18.2
design 18
money 17.9
blackboard 16.2
cash 15.6
empty 15.5
dirty 15.4
currency 15.3
art 15
menu 15
damaged 14.3
material 14.3
structure 13.6
bank 13.4
decoration 13.2
pattern 13
card 12.8
bill 12.4
wall 12
grime 11.7
decay 11.6
board 11.2
finance 11
stamp 10.8
wallpaper 10.7
book jacket 10.5
old fashioned 10.5
business 10.3
brown 10.3
blank 10.3
note 10.1
space 10.1
element 9.9
fracture 9.7
crumpled 9.7
book 9.7
style 9.6
text 9.6
floral 9.4
dollar 9.3
fare 9.3
grain 9.2
historic 9.2
rough 9.1
backdrop 9.1
black 9
mottled 8.8
binding 8.8
hundred 8.7
stained 8.7
parchment 8.6
mail 8.6
rusty 8.6
savings 8.4
covering 8.3
letter 8.3
message 8.2
jacket 8.2
backgrounds 8.1
history 8.1
financial 8
home 8
interior 8
tray 7.9
textured 7.9
postage 7.9
bills 7.8
messy 7.7
dollars 7.7
payment 7.7
exchange 7.6
page 7.4
banking 7.4
ornate 7.3
room 7.3
painting 7.2
travel 7
building 7

Google
created on 2019-06-04

Text 88.1
History 71.8
Font 68.6
Room 65.7
Art 65.5
Architecture 65.5
Collection 63.8
Visual arts 55
Paper 54.3
Illustration 50.4

Microsoft
created on 2019-06-04

text 85.1
person 50.7

Color Analysis

Face analysis

Amazon

AWS Rekognition

Age 45-63
Gender Male, 50.4%
Happy 49.5%
Angry 49.5%
Sad 50.4%
Disgusted 49.5%
Confused 49.5%
Calm 49.6%
Surprised 49.5%

AWS Rekognition

Age 23-38
Gender Male, 50.4%
Calm 49.9%
Angry 49.6%
Happy 49.9%
Sad 49.6%
Disgusted 49.5%
Confused 49.5%
Surprised 49.6%

AWS Rekognition

Age 16-27
Gender Female, 50.4%
Angry 49.5%
Calm 49.5%
Confused 49.6%
Disgusted 49.7%
Happy 49.6%
Sad 50.1%
Surprised 49.5%

AWS Rekognition

Age 26-43
Gender Female, 50.4%
Disgusted 50.2%
Sad 49.6%
Calm 49.5%
Surprised 49.5%
Confused 49.5%
Angry 49.5%
Happy 49.6%

AWS Rekognition

Age 20-38
Gender Male, 50.3%
Sad 50%
Happy 49.7%
Angry 49.6%
Calm 49.5%
Surprised 49.5%
Confused 49.6%
Disgusted 49.6%

AWS Rekognition

Age 26-43
Gender Male, 50.4%
Surprised 49.5%
Angry 49.5%
Calm 50.2%
Happy 49.6%
Sad 49.5%
Disgusted 49.5%
Confused 49.5%

AWS Rekognition

Age 20-38
Gender Female, 50.1%
Disgusted 49.5%
Happy 49.5%
Calm 49.5%
Angry 49.6%
Confused 49.5%
Sad 50.3%
Surprised 49.5%

AWS Rekognition

Age 30-47
Gender Female, 50.3%
Surprised 49.5%
Angry 49.5%
Calm 49.5%
Confused 49.6%
Disgusted 49.6%
Happy 49.5%
Sad 50.2%

AWS Rekognition

Age 26-43
Gender Female, 50%
Calm 49.6%
Disgusted 49.5%
Surprised 49.6%
Sad 50.1%
Happy 49.5%
Angry 49.6%
Confused 49.6%

AWS Rekognition

Age 35-52
Gender Male, 50.4%
Disgusted 49.5%
Happy 49.5%
Confused 49.5%
Sad 50.2%
Calm 49.5%
Angry 49.6%
Surprised 49.5%

AWS Rekognition

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

AWS Rekognition

Age 45-66
Gender Male, 50.4%
Disgusted 49.5%
Happy 49.5%
Confused 49.5%
Sad 50%
Angry 49.5%
Surprised 49.5%
Calm 49.9%

AWS Rekognition

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

AWS Rekognition

Age 20-38
Gender Male, 50.4%
Angry 49.5%
Calm 49.9%
Confused 49.8%
Disgusted 49.5%
Happy 49.5%
Sad 49.7%
Surprised 49.6%

AWS Rekognition

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

AWS Rekognition

Age 29-45
Gender Female, 50.2%
Sad 49.6%
Happy 49.6%
Calm 50%
Disgusted 49.6%
Angry 49.6%
Surprised 49.6%
Confused 49.5%

AWS Rekognition

Age 48-68
Gender Female, 50.2%
Calm 49.6%
Happy 49.6%
Sad 49.7%
Surprised 49.6%
Disgusted 50%
Angry 49.6%
Confused 49.5%

AWS Rekognition

Age 30-47
Gender Female, 50%
Calm 49.6%
Confused 49.5%
Happy 49.6%
Sad 50.1%
Surprised 49.6%
Disgusted 49.5%
Angry 49.6%

AWS Rekognition

Age 35-55
Gender Male, 50.2%
Confused 49.6%
Calm 49.9%
Disgusted 49.6%
Happy 49.6%
Angry 49.6%
Sad 49.7%
Surprised 49.6%

AWS Rekognition

Age 26-43
Gender Female, 50.2%
Confused 49.5%
Disgusted 49.5%
Happy 49.6%
Calm 49.7%
Surprised 49.6%
Sad 49.7%
Angry 49.9%

AWS Rekognition

Age 38-59
Gender Female, 50.2%
Disgusted 49.5%
Sad 50.2%
Calm 49.5%
Happy 49.6%
Confused 49.5%
Surprised 49.5%
Angry 49.7%

AWS Rekognition

Age 38-59
Gender Male, 50.1%
Happy 49.7%
Confused 49.5%
Surprised 49.5%
Angry 49.5%
Calm 49.6%
Sad 50.1%
Disgusted 49.5%

AWS Rekognition

Age 45-65
Gender Female, 50.1%
Confused 49.5%
Sad 49.9%
Disgusted 49.7%
Surprised 49.6%
Angry 49.6%
Happy 49.5%
Calm 49.6%

AWS Rekognition

Age 20-38
Gender Male, 50%
Confused 49.5%
Surprised 49.5%
Happy 49.5%
Disgusted 49.5%
Calm 49.5%
Sad 50.3%
Angry 49.5%

AWS Rekognition

Age 26-43
Gender Female, 50.5%
Surprised 49.6%
Calm 49.8%
Sad 49.8%
Happy 49.6%
Angry 49.5%
Confused 49.6%
Disgusted 49.5%

AWS Rekognition

Age 35-53
Gender Male, 50.4%
Happy 49.6%
Angry 49.6%
Disgusted 49.6%
Confused 49.5%
Sad 50.1%
Calm 49.7%
Surprised 49.5%

AWS Rekognition

Age 23-38
Gender Female, 50.2%
Happy 49.6%
Disgusted 49.5%
Confused 49.6%
Angry 49.9%
Surprised 49.6%
Sad 49.8%
Calm 49.6%

AWS Rekognition

Age 23-38
Gender Female, 50.4%
Disgusted 50%
Surprised 49.6%
Angry 49.7%
Happy 49.6%
Calm 49.6%
Sad 49.6%
Confused 49.5%

AWS Rekognition

Age 35-52
Gender Female, 50.5%
Disgusted 49.6%
Happy 49.5%
Sad 49.7%
Angry 49.6%
Calm 49.9%
Confused 49.6%
Surprised 49.6%

Feature analysis

Amazon

Rug 72.3%

Categories

Imagga

paintings art 77.8%
text visuals 21.1%

Captions

Microsoft
created on 2019-06-04

a white sign with black text 79.2%
a black sign with white text 79.1%
a black sign with white letters 77.8%

Text analysis

Amazon

Rapid
Brooklyn
Provision
Facilities
Recreational
Transit
Brooklyn Rapid Transit Co.
Provision of Recreational Facilities for Employees
of
for
Employees
Benefit
Co.
Band
Febrvary
Asociatron
Band of Empleyees Benefit Asociatron Febrvary 1906.
1906.
Empleyees
APID

Google

of
Transit
Co.
S249.73-
RAPID
TRANSIT
Li013
Band
Employees
Benefit
Association.
February
1906
Provision of Recreational Facilities for Employees Brooklyn Rapid Transit Co. G S249.73- lo-4 RAPID TRANSIT Li013 Band of Employees Benefit Association. February 1906
Provision
Recreational
Facilities
for
Brooklyn
Rapid
G
lo-4