Human Generated Data

Title

Education, Industrial: United States. New York. New York City. Public Schools, Adaptation to Special Needs: New York City Public Schools. Examples of the Adaptation of Education to Special City Needs: Public School No. 37 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, 3.2002.78

Human Generated Data

Title

Education, Industrial: United States. New York. New York City. Public Schools, Adaptation to Special Needs: New York City Public Schools. Examples of the Adaptation of Education to Special City Needs: Public School No. 37 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, 3.2002.78

Machine Generated Data

Tags

Amazon
created on 2019-06-05

Human 99.3
Person 99.3
Person 98.2
Person 97.7
Person 97.3
Person 94.5
Person 93.7
Person 91.7
Text 91
Person 80.9
Person 76.6
Crowd 72.9
Clinic 67.9
Indoors 64.8
Room 64.8
People 62.8
Person 62.1
Person 62
Person 61
Person 60.2
Advertisement 56.2
Person 51.8

Clarifai
created on 2019-06-05

print 99.6
people 99.5
group 98.6
furniture 97.3
man 97.1
adult 96.8
room 96.8
illustration 95.8
lithograph 95.6
no person 95.4
art 95.1
vehicle 95.1
many 93.2
exhibition 93
chair 91.5
vintage 91.4
museum 91.3
indoors 91.2
house 91
old 90.4

Imagga
created on 2019-06-05

freight car 38.3
paper 33
car 30.4
grunge 28.9
wheeled vehicle 26
vintage 25.6
old 23.7
retro 21.3
money 21.3
business 21.3
currency 19.7
structure 19.2
vehicle 18.8
texture 18.7
drawing 18.2
empty 18
design 18
comic book 18
finance 17.7
note 17.5
blank 17.1
bill 17.1
antique 16.9
cash 16.5
sketch 16.3
dirty 16.3
frame 15.8
dollar 15.8
ancient 15.6
aged 15.4
bank 15.3
space 14.7
damaged 14.3
office 14.1
building 13.4
banking 12.9
exchange 12.4
old fashioned 12.4
sign 12
material 11.6
financial 11.6
billboard 11.3
graphic 10.9
pattern 10.9
architecture 10.9
newspaper 10.8
wealth 10.8
daily 10.6
art 10.5
post 10.5
text 10.5
grungy 10.4
grain 10.1
investment 10.1
house 10
rough 10
border 9.9
grime 9.8
hundred 9.7
decay 9.6
notes 9.6
plan 9.4
construction 9.4
savings 9.3
letter 9.2
element 9.1
symbol 8.7
bills 8.7
crumpled 8.7
dollars 8.7
us 8.7
payment 8.7
pay 8.6
sheet 8.5
stock 8.4
message 8.2
paint 8.1
container 8
conveyance 8
copy 8
postage 7.9
artistic 7.8
fracture 7.8
stamp 7.7
stain 7.7
mail 7.7
wallpaper 7.7
product 7.7
card 7.6
signboard 7.6
city 7.5
street 7.4
decoration 7.3
print media 7.2
home 7.2
carton 7.2
envelope 7.1
market 7.1
textured 7

Google
created on 2019-06-05

Photograph 96.3
Text 90.3
Snapshot 86.2
Room 81.5
Collection 69.3
History 64.5
Table 63.8
Art 58.1
Furniture 56.7
Illustration 54.5

Microsoft
created on 2019-06-05

furniture 95.2
table 92.9
book 79.5
chair 72.5
person 51.4
store 32.8

Color Analysis

Face analysis

Amazon

AWS Rekognition

Age 11-18
Gender Female, 50.1%
Calm 49.5%
Happy 49.8%
Angry 49.6%
Disgusted 49.5%
Surprised 49.5%
Confused 49.5%
Sad 49.9%

AWS Rekognition

Age 17-27
Gender Female, 50.2%
Calm 49.7%
Disgusted 49.9%
Confused 49.6%
Happy 49.6%
Angry 49.6%
Sad 49.6%
Surprised 49.5%

AWS Rekognition

Age 19-36
Gender Male, 50.1%
Happy 49.5%
Sad 50.3%
Disgusted 49.5%
Angry 49.6%
Surprised 49.5%
Calm 49.5%
Confused 49.5%

AWS Rekognition

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

AWS Rekognition

Age 20-38
Gender Female, 50.3%
Confused 49.6%
Surprised 49.6%
Sad 49.9%
Calm 49.6%
Happy 49.6%
Angry 49.6%
Disgusted 49.6%

AWS Rekognition

Age 23-38
Gender Male, 50.4%
Surprised 49.5%
Sad 50.1%
Happy 49.6%
Confused 49.5%
Calm 49.6%
Angry 49.6%
Disgusted 49.5%

AWS Rekognition

Age 26-44
Gender Female, 50.4%
Sad 49.9%
Calm 49.7%
Disgusted 49.6%
Confused 49.6%
Angry 49.6%
Surprised 49.6%
Happy 49.6%

AWS Rekognition

Age 26-44
Gender Female, 50%
Angry 49.6%
Disgusted 49.5%
Sad 49.6%
Happy 49.5%
Confused 49.5%
Surprised 49.5%
Calm 50.2%

Feature analysis

Amazon

Person 99.3%

Categories

Imagga

text visuals 86.7%
streetview architecture 6.4%
paintings art 5.7%

Captions

Microsoft
created on 2019-06-05

a store inside of a box 51.2%
a display in a store 51.1%
a sign above a store 51%

Text analysis

Amazon

Needs
Publie
York
Edueation
City
the
of
Examples of the Adaptation Edueation to Special City Needs
Sehools
to
New York Cit Publie Sehools
Adaptation
Examples
Washing
Special
Cit
Shrls
House Washing Dishes.
mhe
New
Aaptatmct
Dishes.
3.73.6.50
House
-Woshing
Souplesof mhe Aaptatmct cf
cf
GED 3.73.6.50
haHan
Soutatin
Cfi1
GED
Soutatin TO Cfi1
Souplesof
PShe Shrls wYc
TO
PShe
IE
IE 27
wYc
27
anhlien
Atie

Google

NYC Pashe Sahrols 57 Publie Schools New York City Education to Speeial City Needs hOples of he Adephatm of E Housekerpirg- Washing Houeekeoping Washing Dishes Puelie Scheela yest Manhattan 37 Hanhafian
NYC
Pashe
Sahrols
57
Publie
Schools
New
York
City
Education
to
Speeial
Needs
hOples
of
he
Adephatm
E
Housekerpirg-
Washing
Houeekeoping
Dishes
Puelie
Scheela
yest
Manhattan
37
Hanhafian