Human Generated Data

Title

Education, Industrial: United States. New York. New York City. Vacation Schools: New York City Public Schools. Examples of the Adaptation of Education to Special City Needs: Brooklyn Vacation School - Raffia Work.
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, 3.2002.358.1

Human Generated Data

Title

Education, Industrial: United States. New York. New York City. Vacation Schools: New York City Public Schools. Examples of the Adaptation of Education to Special City Needs: Brooklyn Vacation School - Raffia Work.

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, 3.2002.358.1

Machine Generated Data

Tags

Amazon
created on 2019-06-05

Room 94.9
Indoors 94.9
Classroom 90.4
School 90.4
Advertisement 89.4
Poster 89.4
Person 86.1
Human 86.1
Person 83.5
Person 72.5
Crowd 65.4
Person 65.2
Clinic 61.9
Bedroom 60
Art 56.3
Dorm Room 55.9
Furniture 55.9
Person 52.4
Person 46.4

Clarifai
created on 2019-06-05

people 99.6
group 98.5
adult 98.1
many 97.3
man 95.1
print 95
woman 94.3
illustration 91.9
room 91.8
art 91.2
indoors 89.8
exhibition 89.6
wear 89.6
one 88.7
furniture 88.4
museum 88.3
portrait 88.1
music 86.6
picture frame 85.1
painting 83.9

Imagga
created on 2019-06-05

grunge 36.6
vintage 30.6
old 29.3
retro 23.8
paper 23
texture 22.2
drawing 22
aged 19.9
design 19.1
blackboard 18.6
insulating material 18
frame 17.7
antique 17.6
dirty 17.2
art 16.6
sketch 16.4
pattern 15.7
decoration 15.7
ancient 14.7
building material 13.6
grungy 13.3
envelope 12.6
graphic 12.4
wallpaper 12.3
artistic 12.2
money 11.9
paint 11.8
silhouette 11.6
flower 11.5
text 11.4
floral 11.1
decorative 10.9
book jacket 10.8
currency 10.8
worn 10.5
card 10.4
business 10.3
blank 10.3
black 10.2
leaf 10.1
representation 10
style 9.6
stain 9.6
brown 9.6
bill 9.5
wall 9.4
building 9.4
house 9.2
letter 9.2
artwork 9.2
border 9
decay 8.7
comic book 8.6
empty 8.6
finance 8.4
jacket 8.4
dollar 8.4
page 8.4
banking 8.3
sign 8.3
plant 8.2
symbol 8.1
bank 8.1
financial 8
container 8
architecture 7.8
stamp 7.8
ink 7.7
poster 7.6
city 7.5
wrapping 7.3
cash 7.3
structure 7.3
rough 7.3
color 7.2
material 7.1
season 7
modern 7

Google
created on 2019-06-05

Photograph 96.6
Text 93.2
Snapshot 86.5
Photographic paper 82.4
Room 74.4
Photography 70.6
Paper product 70.3
Stock photography 68.5
Paper 66.6
Picture frame 65.1
History 60.4
Collection 58.5
Art 58.1
Photograph album 55.4
Illustration 54.5

Microsoft
created on 2019-06-05

scene 95.5
gallery 94.5
person 92.2
room 91.8
clothing 89.4

Color Analysis

Face analysis

Amazon

AWS Rekognition

Age 26-43
Gender Male, 53.5%
Calm 50.7%
Disgusted 45.2%
Happy 45.4%
Confused 45.4%
Surprised 45.4%
Sad 47.4%
Angry 45.5%

AWS Rekognition

Age 23-38
Gender Male, 50.1%
Surprised 49.5%
Disgusted 49.5%
Sad 50%
Calm 49.6%
Happy 49.6%
Confused 49.6%
Angry 49.7%

AWS Rekognition

Age 15-25
Gender Female, 50.2%
Calm 49.5%
Disgusted 49.6%
Happy 49.8%
Confused 49.5%
Surprised 49.5%
Sad 50%
Angry 49.6%

AWS Rekognition

Age 23-38
Gender Female, 50.4%
Disgusted 49.6%
Confused 49.5%
Calm 49.8%
Surprised 49.6%
Happy 49.6%
Sad 49.8%
Angry 49.6%

AWS Rekognition

Age 23-38
Gender Female, 50.1%
Angry 50%
Sad 49.7%
Disgusted 49.6%
Happy 49.6%
Confused 49.6%
Calm 49.5%
Surprised 49.5%

AWS Rekognition

Age 20-38
Gender Female, 50%
Confused 49.6%
Happy 49.7%
Surprised 49.5%
Calm 49.7%
Angry 49.7%
Sad 49.8%
Disgusted 49.6%

AWS Rekognition

Age 23-38
Gender Female, 50.3%
Confused 49.5%
Surprised 49.5%
Sad 50.1%
Calm 49.5%
Happy 49.5%
Angry 49.7%
Disgusted 49.6%

AWS Rekognition

Age 23-38
Gender Female, 53.1%
Calm 45.1%
Surprised 45.2%
Confused 45.1%
Sad 53%
Angry 45.8%
Disgusted 45.3%
Happy 45.5%

AWS Rekognition

Age 6-13
Gender Female, 50%
Angry 49.8%
Disgusted 49.6%
Sad 49.9%
Calm 49.6%
Happy 49.6%
Surprised 49.5%
Confused 49.5%

AWS Rekognition

Age 26-43
Gender Female, 50.1%
Happy 49.6%
Sad 49.9%
Disgusted 49.6%
Calm 49.7%
Surprised 49.6%
Confused 49.6%
Angry 49.6%

AWS Rekognition

Age 26-43
Gender Female, 50.5%
Happy 49.6%
Sad 50.2%
Surprised 49.5%
Angry 49.5%
Calm 49.6%
Disgusted 49.5%
Confused 49.5%

AWS Rekognition

Age 11-18
Gender Female, 54.8%
Confused 45.1%
Angry 50.3%
Disgusted 45.1%
Calm 48.6%
Happy 45.2%
Surprised 45.2%
Sad 45.5%

AWS Rekognition

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

AWS Rekognition

Age 26-44
Gender Female, 50.4%
Sad 49.8%
Calm 49.6%
Happy 49.5%
Surprised 49.5%
Angry 49.7%
Disgusted 49.8%
Confused 49.5%

AWS Rekognition

Age 26-43
Gender Female, 50.3%
Angry 49.7%
Surprised 49.5%
Calm 49.6%
Happy 49.6%
Confused 49.5%
Disgusted 49.5%
Sad 50%

AWS Rekognition

Age 20-38
Gender Female, 50.1%
Calm 49.8%
Surprised 49.6%
Happy 49.6%
Angry 49.6%
Confused 49.5%
Sad 49.8%
Disgusted 49.6%

AWS Rekognition

Age 27-44
Gender Female, 50.4%
Angry 49.6%
Surprised 49.6%
Disgusted 49.5%
Sad 50.1%
Happy 49.5%
Confused 49.6%
Calm 49.6%

AWS Rekognition

Age 14-25
Gender Female, 50.5%
Angry 49.6%
Calm 49.6%
Disgusted 49.6%
Happy 50.1%
Surprised 49.5%
Sad 49.6%
Confused 49.6%

AWS Rekognition

Age 27-44
Gender Female, 50.2%
Angry 49.6%
Happy 49.8%
Calm 49.6%
Confused 49.5%
Sad 49.7%
Disgusted 49.6%
Surprised 49.6%

AWS Rekognition

Age 26-43
Gender Male, 50.5%
Angry 49.6%
Surprised 49.5%
Disgusted 49.7%
Calm 49.5%
Sad 50.1%
Happy 49.5%
Confused 49.6%

AWS Rekognition

Age 30-47
Gender Female, 50.1%
Angry 49.7%
Confused 49.5%
Calm 49.6%
Surprised 49.5%
Sad 50%
Happy 49.6%
Disgusted 49.5%

AWS Rekognition

Age 26-43
Gender Male, 50.1%
Confused 49.5%
Disgusted 49.5%
Surprised 49.5%
Sad 50.2%
Angry 49.6%
Happy 49.5%
Calm 49.6%

AWS Rekognition

Age 26-43
Gender Female, 50.4%
Confused 49.6%
Surprised 49.5%
Sad 49.7%
Calm 49.9%
Happy 49.5%
Angry 49.8%
Disgusted 49.6%

AWS Rekognition

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

Feature analysis

Amazon

Poster 89.4%
Person 86.1%

Categories

Imagga

streetview architecture 48.7%
paintings art 37%
text visuals 10.4%
food drinks 1.5%
interior objects 1.1%

Text analysis

Amazon

New
Examples
York
Adaptation
the
Pblic
Brooklyn
of
of the New York schels
Vacotio
Cit
69.73,70
Ratha
schels
GEd
School
Ct Edbcohin He Adaptation of Cit
Edbcohin
Brooklyn School Jne
NDeclo
arthuwdeioli
Ct
He
Jne

Google

Brooklyn Vacati school Ra ha hek s. 2002.5s8 G2d 61.73, S.70 Public Schoys New York Cit Examples of the Adaptation of at Moedk
Brooklyn
Vacati
school
Ra
ha
hek
s.
2002.5s8
G2d
61.73,
S.70
Public
Schoys
New
York
Cit
Examples
of
the
Adaptation
at
Moedk