Human Generated Data

Title

Charity, Hospitals: United States. Massachusetts. Tewksbury. State Hospital: State Hospital, Tewksbury: Men's Asylum Ward No. 4

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, 3.2002.2681.3

Human Generated Data

Title

Charity, Hospitals: United States. Massachusetts. Tewksbury. State Hospital: State Hospital, Tewksbury: Men's Asylum Ward No. 4

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, 3.2002.2681.3

Machine Generated Data

Tags

Amazon
created on 2019-06-05

Flooring 98.9
Human 98.9
Person 98.9
Floor 98.1
Person 98
Person 97.9
Person 97
Person 96.9
Person 96.3
Person 94
Indoors 93.4
Person 93
Person 92.8
Person 92.1
Room 91.4
Person 89.7
Building 88.3
Person 84.7
Person 81.3
Interior Design 79.9
Person 78.3
Person 75.9
Hall 73.6
Person 73.4
Crowd 66.3
Chair 64.7
Furniture 64.7
People 62.7
Housing 62.7
Factory 58.2
Person 45.5

Clarifai
created on 2019-06-05

people 99.9
many 99.7
group together 99.5
group 99.4
adult 98.1
man 97.6
military 95.9
crowd 93.3
woman 93
vehicle 91.8
indoors 91.2
administration 90.1
war 90
education 89.2
school 89.1
home 88.8
transportation system 87.6
chair 86.6
furniture 85.5
soldier 84

Imagga
created on 2019-06-05

building 40.6
architecture 35.5
warehouse 27.8
city 26.6
room 23.8
interior 21.2
old 20.9
hall 20.1
street 19.3
corridor 18.7
house 18.6
urban 18.4
wall 18.3
travel 17.6
structure 17.2
chair 15.7
window 14.8
light 14.7
floor 14
historic 13.8
construction 13.7
tunnel 13.7
stone 13.6
scene 13
station 12.9
night 12.4
furniture 11.6
lamp 11.4
brick 11.3
table 11.3
modern 11.2
subway 10.8
transportation 10.8
indoors 10.6
cinema 10.3
classroom 10.1
transport 10
road 9.9
door 9.9
business 9.7
antique 9.5
car 9.5
empty 9.5
perspective 9.4
tourism 9.1
passage 9
sky 8.9
people 8.9
home 8.8
ancient 8.7
glass 8.6
space 8.5
freight car 8.4
place 8.4
dark 8.4
town 8.4
seat 8.3
theater 8.2
pattern 8.2
industrial 8.2
reflection 8.1
train 8.1
wheeled vehicle 7.9
ceiling 7.9
vehicle 7.7
windows 7.7
world 7.5
column 7.5
exterior 7.4
design 7.3
new 7.3
landmark 7.2
life 7.2
toilet 7.1
decoration 7.1

Google
created on 2019-06-05

Room 80.8
Building 77.3
Monochrome 67.6
Interior design 54.3
History 54.1
Ballroom 50.2

Microsoft
created on 2019-06-05

ground 97.3
person 95.6
floor 93.5
black 82.2
old 68.5
white 64.9
several 17.1

Color Analysis

Face analysis

Amazon

AWS Rekognition

Age 57-77
Gender Male, 54.8%
Angry 45.6%
Happy 46.4%
Surprised 45.5%
Disgusted 46.7%
Sad 45.3%
Confused 45.3%
Calm 50.3%

AWS Rekognition

Age 26-43
Gender Female, 54.2%
Calm 48.9%
Confused 46.2%
Disgusted 45.7%
Angry 46.4%
Happy 45.5%
Surprised 46%
Sad 46.2%

AWS Rekognition

Age 16-27
Gender Female, 50.5%
Surprised 49.5%
Happy 49.9%
Disgusted 49.5%
Calm 49.7%
Sad 49.7%
Angry 49.6%
Confused 49.5%

AWS Rekognition

Age 26-43
Gender Female, 50.1%
Sad 49.6%
Calm 49.8%
Disgusted 49.9%
Confused 49.6%
Angry 49.5%
Surprised 49.6%
Happy 49.5%

AWS Rekognition

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

AWS Rekognition

Age 26-43
Gender Female, 50.1%
Calm 49.8%
Surprised 49.6%
Disgusted 49.5%
Angry 49.5%
Happy 49.9%
Sad 49.6%
Confused 49.5%

AWS Rekognition

Age 17-27
Gender Female, 50.5%
Happy 49.5%
Disgusted 49.5%
Confused 49.5%
Surprised 49.5%
Sad 50.1%
Angry 49.6%
Calm 49.6%

AWS Rekognition

Age 26-43
Gender Female, 50.3%
Disgusted 49.6%
Sad 49.8%
Calm 49.9%
Surprised 49.6%
Angry 49.6%
Happy 49.6%
Confused 49.6%

AWS Rekognition

Age 35-52
Gender Female, 50.4%
Angry 49.6%
Sad 49.6%
Surprised 49.5%
Confused 49.5%
Disgusted 49.7%
Calm 49.5%
Happy 50%

AWS Rekognition

Age 35-52
Gender Female, 50.4%
Calm 49.6%
Confused 49.6%
Disgusted 49.5%
Happy 49.6%
Angry 49.6%
Sad 50.1%
Surprised 49.6%

AWS Rekognition

Age 26-43
Gender Female, 50.2%
Surprised 49.5%
Confused 49.5%
Angry 49.6%
Happy 49.6%
Disgusted 49.7%
Sad 49.8%
Calm 49.8%

AWS Rekognition

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

AWS Rekognition

Age 11-18
Gender Female, 50.4%
Calm 49.5%
Confused 49.5%
Disgusted 49.5%
Angry 49.5%
Happy 49.5%
Surprised 49.5%
Sad 50.4%

AWS Rekognition

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

Feature analysis

Amazon

Person 98.9%
Chair 64.7%

Categories

Text analysis

Google

eviu M WARD No 4
eviu
M
WARD
No
4