Human Generated Data

Title

Charity, Children: United States. New York. Ogdensburg. Orphan Asylum: City Hospital and Orphanage, Ogdensburg, N.Y. (Under the direction of the Grey Nuns of the Cross): Old Ladies Ward.
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, 3.2002.154.1

Human Generated Data

Title

Charity, Children: United States. New York. Ogdensburg. Orphan Asylum: City Hospital and Orphanage, Ogdensburg, N.Y. (Under the direction of the Grey Nuns of the Cross): Old Ladies Ward.

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, 3.2002.154.1

Machine Generated Data

Tags

Amazon
created on 2019-06-05

Flooring 96.4
Human 96.4
Indoors 90.6
Person 90.5
Person 89.6
Person 87.3
Clinic 87.1
Hospital 85.2
Room 83.6
Person 80.2
Person 80.1
Person 78.6
Floor 76.7
Furniture 76.4
Person 71
Bed 69.3
Person 67
Couch 66.1
Person 65.3
Person 62.3
Bed 62
Living Room 57.7
Waiting Room 57.5
Person 55.2
Person 52
Person 49
Person 44.9

Clarifai
created on 2019-06-05

people 99.8
furniture 99.1
group 98.6
group together 98.4
many 98.4
room 97.8
chair 97.8
adult 96.6
man 96.6
indoors 96.5
leader 95.3
administration 94.9
woman 94.1
seat 91.1
several 86.7
military 86.2
table 85.8
home 85.4
sit 84.7
war 83.6

Imagga
created on 2019-06-05

barbershop 64.9
interior 60.2
room 59
shop 52.3
salon 48.9
table 47.6
chair 44.4
mercantile establishment 39.5
furniture 39.5
house 31.8
restaurant 30.1
home 29.5
decor 27.4
modern 27.3
place of business 26.9
floor 26
design 25.9
classroom 24.1
indoor 21
wood 20
dining 20
luxury 19.7
indoors 19.3
inside 19.3
window 19.2
sofa 19.1
architecture 18.8
chairs 18.6
lamp 18.1
style 17.8
empty 17.2
building 17.2
living 17.1
decoration 15.9
cafeteria 15
tables 14.8
establishment 14.5
residential 14.4
dinner 14.3
contemporary 14.1
light 14
food 13.9
teacher 13.9
seat 13.2
hall 13
glass 12.5
hotel 12.4
comfortable 12.4
decorate 12.4
elegant 12
office 11.8
work 11.8
school 11.8
couch 11.6
lighting 11.6
structure 11.4
elegance 10.9
relaxation 10.9
rug 10.8
kitchen 10.7
carpet 10.7
wooden 10.6
apartment 10.5
service 10.2
space 10.1
eat 10.1
people 10
stool 9.9
upscale 9.9
party 9.5
desk 9.5
drink 9.2
business 9.1
plant 9
fireplace 8.9
furnishings 8.9
life 8.9
hardwood 8.8
living room 8.8
residence 8.8
man 8.7
render 8.7
wall 8.6
nobody 8.6
estate 8.5
3d 8.5
professional 8.5
relax 8.4
bar 8.3
stylish 8.1
person 8.1
counter 8.1
lifestyle 8
dining room 7.9
walls 7.8
education 7.8
men 7.7
class 7.7
expensive 7.7
leather 7.6
bed 7.6
real 7.6
meeting 7.5
place 7.4
smiling 7.2
male 7.1

Google
created on 2019-06-05

Photograph 95.9
Room 90.5
Snapshot 86.5
Black-and-white 78.1
Building 76.3
Photography 67.8
Table 67.2
Interior design 67
Architecture 65.5
Furniture 59.4
Restaurant 56.3
History 54.1

Microsoft
created on 2019-06-05

wall 99.5
indoor 99.3
ceiling 98.8
table 98.5
chair 96.7
wedding 91.3
room 85.5
vase 80.1
house 72.4
kitchen & dining room table 60.8
coffee table 56.8
furniture 48.8
several 11.2

Color Analysis

Face analysis

Amazon

AWS Rekognition

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

AWS Rekognition

Age 14-23
Gender Female, 50.5%
Surprised 49.5%
Happy 49.9%
Confused 49.5%
Calm 49.6%
Disgusted 49.6%
Angry 49.5%
Sad 49.8%

AWS Rekognition

Age 26-43
Gender Female, 50.3%
Calm 49.8%
Disgusted 49.6%
Surprised 49.5%
Confused 49.6%
Angry 49.6%
Sad 49.9%
Happy 49.5%

AWS Rekognition

Age 45-65
Gender Female, 50.1%
Angry 46.3%
Happy 45.4%
Calm 48%
Confused 45.7%
Sad 46.7%
Disgusted 47.5%
Surprised 45.5%

AWS Rekognition

Age 27-44
Gender Male, 50.1%
Calm 49.9%
Happy 49.6%
Confused 49.6%
Sad 49.6%
Angry 49.6%
Surprised 49.6%
Disgusted 49.7%

AWS Rekognition

Age 48-68
Gender Male, 50.3%
Surprised 49.6%
Happy 49.5%
Confused 49.6%
Calm 50%
Disgusted 49.6%
Sad 49.7%
Angry 49.6%

AWS Rekognition

Age 17-27
Gender Female, 50%
Confused 49.5%
Disgusted 49.6%
Surprised 49.5%
Sad 50%
Angry 49.6%
Happy 49.6%
Calm 49.6%

AWS Rekognition

Age 4-7
Gender Male, 50.5%
Angry 49.7%
Disgusted 49.5%
Calm 49.5%
Surprised 49.5%
Happy 49.5%
Sad 50.2%
Confused 49.5%

AWS Rekognition

Age 6-13
Gender Male, 50.3%
Sad 50.1%
Disgusted 49.6%
Surprised 49.5%
Happy 49.5%
Confused 49.5%
Calm 49.5%
Angry 49.6%

AWS Rekognition

Age 20-38
Gender Female, 50.5%
Disgusted 49.6%
Surprised 49.5%
Sad 49.7%
Angry 49.7%
Happy 49.6%
Confused 49.6%
Calm 49.8%

AWS Rekognition

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

Feature analysis

Amazon

Person 90.5%
Bed 69.3%
Couch 66.1%

Categories

Imagga

interior objects 96%
streetview architecture 2.8%

Text analysis

Amazon

WARD
OLD
OLD LADIES' WARD
LADIES'

Google

519
OLD
LADIES
WARD
519 OLD LADIES WARD