Human Generated Data

Title

Charity, Hospitals: United States. New York. New York City. Metropolitan Hospital, Blackwell's Island: Metropolitan Hospital, New York City: Tuberculosis Infirmary Interior of Dining Pavilion.
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, 3.2002.786

Human Generated Data

Title

Charity, Hospitals: United States. New York. New York City. Metropolitan Hospital, Blackwell's Island: Metropolitan Hospital, New York City: Tuberculosis Infirmary Interior of Dining Pavilion.

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, 3.2002.786

Machine Generated Data

Tags

Amazon
created on 2019-06-07

Building 97.4
Person 92.9
Human 92.9
Person 92.7
Person 92.3
Factory 91.7
Person 91.5
Person 90.2
Person 88.6
Person 88.3
Person 87.9
Person 85.2
Person 83.9
Person 83.3
Crowd 83.1
Person 83.1
Person 74.2
Assembly Line 72.2
Person 67.4
Audience 65.9
Restaurant 55.5
Cafeteria 55.5
Person 50.1
Person 46.3
Person 45
Person 44.6

Clarifai
created on 2019-06-07

people 99.1
many 98.5
group 97.7
group together 94
adult 91.9
crowd 91.7
man 90.1
print 88.5
cavalry 87.4
wear 86.2
art 77.9
administration 75.8
interaction 75
monochrome 72.4
vehicle 71.3
winter 70.9
snow 70.2
lithograph 69
street 68.8
military 67.2

Imagga
created on 2019-06-07

snow 41.9
winter 23.8
landscape 23.1
building 23
city 21.6
grunge 21.3
architecture 20.3
old 20.2
structure 19
sky 18.5
tree 16.9
weather 16.6
travel 16.2
vintage 15.9
trees 15.1
scene 14.7
cold 14.6
history 13.4
texture 13.2
antique 13.1
house 12.6
wall 12.5
space 12.4
grungy 12.3
life 12.3
forest 12.2
rural 11.5
old fashioned 11.4
grain 11.1
season 10.9
light 10.7
park 10.7
retro 10.6
urban 10.5
ancient 10.4
paper 10.2
picket fence 10
frame 10
paint 10
outdoor 9.9
tourism 9.9
tower 9.8
scenic 9.7
frost 9.6
day 9.4
art 9.2
landmark 9
scenery 9
black 9
fence 9
river 8.9
snowy 8.7
aging 8.6
panorama 8.6
construction 8.6
school 8.5
design 8.4
power 8.4
daily 8.4
wood 8.3
historic 8.3
pattern 8.2
rough 8.2
aged 8.1
coast 8.1
station 8.1
snowing 7.9
sea 7.8
blank 7.7
frozen 7.6
worn 7.6
weathered 7.6
cityscape 7.6
hill 7.5
plant 7.5
tourist 7.4
town 7.4
street 7.4
border 7.2
road 7.2
religion 7.2
mountain 7.1
textured 7

Google
created on 2019-06-07

Photograph 96.2
Text 92.7
Snapshot 85.6
Adaptation 74.1
Room 65.7
Stock photography 65.4
Photography 62.4
History 60.4
Collection 50

Microsoft
created on 2019-06-07

person 97.1

Color Analysis

Face analysis

Amazon

AWS Rekognition

Age 57-77
Gender Male, 50.2%
Sad 49.6%
Calm 49.6%
Angry 49.6%
Happy 49.6%
Disgusted 50%
Confused 49.6%
Surprised 49.6%

AWS Rekognition

Age 38-59
Gender Male, 50.3%
Confused 49.5%
Angry 49.5%
Surprised 49.5%
Calm 49.7%
Sad 50.1%
Happy 49.5%
Disgusted 49.5%

AWS Rekognition

Age 35-52
Gender Male, 50.3%
Sad 50.1%
Happy 49.6%
Angry 49.5%
Surprised 49.6%
Disgusted 49.5%
Confused 49.5%
Calm 49.6%

AWS Rekognition

Age 20-38
Gender Male, 50.3%
Surprised 49.6%
Confused 49.6%
Disgusted 49.6%
Angry 49.6%
Calm 49.6%
Happy 49.7%
Sad 49.8%

AWS Rekognition

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

AWS Rekognition

Age 11-18
Gender Male, 50.3%
Disgusted 49.5%
Surprised 49.5%
Confused 49.5%
Calm 49.6%
Angry 49.5%
Happy 49.5%
Sad 50.3%

AWS Rekognition

Age 45-63
Gender Male, 50.4%
Confused 49.6%
Calm 49.8%
Happy 49.6%
Disgusted 49.7%
Sad 49.7%
Angry 49.6%
Surprised 49.5%

AWS Rekognition

Age 23-38
Gender Male, 50%
Disgusted 50.3%
Surprised 49.5%
Confused 49.5%
Sad 49.5%
Happy 49.5%
Calm 49.5%
Angry 49.5%

AWS Rekognition

Age 35-52
Gender Male, 50.2%
Disgusted 49.6%
Surprised 49.6%
Sad 49.8%
Confused 49.6%
Calm 49.7%
Happy 49.6%
Angry 49.7%

AWS Rekognition

Age 15-25
Gender Female, 50.4%
Confused 49.5%
Sad 50.2%
Angry 49.6%
Disgusted 49.6%
Happy 49.6%
Surprised 49.5%
Calm 49.5%

AWS Rekognition

Age 26-43
Gender Male, 50.2%
Surprised 49.5%
Calm 49.6%
Sad 49.8%
Happy 49.5%
Confused 49.5%
Angry 50%
Disgusted 49.5%

AWS Rekognition

Age 23-38
Gender Male, 50.3%
Confused 49.5%
Angry 49.7%
Surprised 49.6%
Calm 49.7%
Sad 49.8%
Happy 49.6%
Disgusted 49.6%

AWS Rekognition

Age 26-43
Gender Female, 50.4%
Calm 49.5%
Angry 49.6%
Confused 49.5%
Surprised 49.5%
Sad 50.3%
Happy 49.5%
Disgusted 49.6%

AWS Rekognition

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

AWS Rekognition

Age 19-36
Gender Male, 50.2%
Disgusted 49.9%
Angry 49.8%
Surprised 49.6%
Happy 49.5%
Sad 49.6%
Calm 49.6%
Confused 49.6%

AWS Rekognition

Age 20-38
Gender Female, 50.2%
Sad 49.9%
Surprised 49.6%
Calm 49.8%
Disgusted 49.6%
Confused 49.6%
Angry 49.6%
Happy 49.6%

AWS Rekognition

Age 35-52
Gender Female, 50.1%
Happy 49.9%
Angry 49.6%
Surprised 49.6%
Disgusted 49.6%
Confused 49.6%
Calm 49.5%
Sad 49.6%

AWS Rekognition

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

AWS Rekognition

Age 60-90
Gender Female, 50.3%
Disgusted 50.4%
Confused 49.5%
Happy 49.5%
Calm 49.5%
Surprised 49.5%
Angry 49.5%
Sad 49.5%

AWS Rekognition

Age 15-25
Gender Female, 50.4%
Sad 50.2%
Happy 49.6%
Angry 49.6%
Surprised 49.5%
Disgusted 49.5%
Confused 49.5%
Calm 49.6%

AWS Rekognition

Age 16-27
Gender Female, 50.5%
Angry 49.5%
Calm 49.8%
Sad 49.7%
Confused 49.6%
Disgusted 49.5%
Surprised 49.6%
Happy 49.7%

AWS Rekognition

Age 23-38
Gender Female, 50.5%
Calm 50%
Sad 49.8%
Surprised 49.5%
Disgusted 49.5%
Angry 49.5%
Confused 49.5%
Happy 49.5%

AWS Rekognition

Age 35-53
Gender Female, 50.5%
Calm 49.8%
Disgusted 49.6%
Sad 49.7%
Happy 49.7%
Surprised 49.5%
Angry 49.6%
Confused 49.6%

Feature analysis

Amazon

Person 92.9%

Captions

Microsoft
created on 2019-06-07

an old photo of a crowd 56.3%
a group of people in a room 46.6%
a crowd of people 46.5%

Text analysis

Amazon

Metropolitan
New
Metropolitan Hospital, New York City
City
York
Hospital,
Dining
Infirmory
of
Tuberculosis Infirmory Dining
Tuberculosis
Interior of Davilion
Davilion
Interior
panoromic
Partl
Partl of panoromic fponoromic VIEW
fponoromic
CH3123..4
VIEW

Google

GR 31 738 Metropolitan Hospital, New York City Part of panoramic view Part 2 of panoromie view Tuberculosis Infirmary Interior of Dining Povilion.
GR
31
738
Metropolitan
Hospital,
New
York
City
Part
of
panoramic
view
2
panoromie
Tuberculosis
Infirmary
Interior
Dining
Povilion.