Human Generated Data

Title

Religious Agencies, Salvation Army: United States. California. Beulah. Children's Home: The Salvation Army: Childrens' Home, Beulah, California.

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, 3.2002.2580.1

Human Generated Data

Title

Religious Agencies, Salvation Army: United States. California. Beulah. Children's Home: The Salvation Army: Childrens' Home, Beulah, California.

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, 3.2002.2580.1

Machine Generated Data

Tags

Amazon
created on 2019-06-04

Housing 99.5
Building 99.5
House 95.9
Mansion 93.4
Cottage 93.1
Person 93
Human 93
Villa 92.7
Person 92.5
Outdoors 79.6
Architecture 75.3
Nature 75
Person 74.6
Person 68.8
Person 66.3
Grass 65.7
Plant 65.7
Person 65.6
Countryside 60
Shelter 56.9
Rural 56.9
Person 48.8
Person 48.4

Clarifai
created on 2019-06-04

house 99.9
architecture 99.6
home 99.4
building 98.8
estate 98.7
family 98.6
real 98.3
mansion 98.2
no person 97.7
window 97.6
winter 96.6
exterior 96.1
roof 96.1
bungalow 95.1
wood 94.5
residences 93.4
property 93
construction 92.6
residential 92.4
residence 91.9

Imagga
created on 2019-06-04

building 62.7
house 51.5
architecture 51.2
structure 42.6
home 35.1
roof 30.6
window 28
school 27.5
facade 26.7
church 25.9
estate 25.7
old 25.1
sky 25.1
snow 23.7
real 21.9
construction 21.4
residence 20.7
property 19.4
dwelling 18.6
new 17.8
town 17.6
historic 17.4
fence 17.3
landscape 17.1
brick 17.1
balcony 17
exterior 16.6
travel 16.2
picket fence 15.6
wall 15.5
residential 15.3
windows 14.4
villa 14.4
door 14.3
ancient 13.9
stone 13.5
religion 13.5
luxury 12.9
village 12.5
city 12.5
winter 11.9
history 11.6
expensive 11.5
investment 11
tower 10.9
weather 10.6
country 10.6
cross 10.4
street 10.1
tree 10
garage 9.9
homes 9.8
modern 9.8
tile 9.8
real estate 9.8
houses 9.7
built 9.7
university 9.6
barrier 9.5
historical 9.4
sketch 9.2
wood 9.2
housing 9.1
suburban 8.9
neighborhood 8.9
architectural 8.7
living 8.5
garden 8.5
traditional 8.3
vacation 8.2
drawing 8
trees 8
grass 7.9
landscaping 7.9
realty 7.9
landscaped 7.9
antique 7.8
yard 7.8
summer 7.7
buildings 7.6
lawn 7.6
stucco 7.5
tourism 7.4
rural 7.1

Google
created on 2019-06-04

Microsoft
created on 2019-06-04

house 97.8
outdoor 95.8
window 95.3
snow 90.7
building 78.1
tree 65.6
sky 64

Color Analysis

Face analysis

Amazon

AWS Rekognition

Age 57-77
Gender Female, 50.3%
Happy 49.6%
Disgusted 49.7%
Confused 49.5%
Angry 49.6%
Surprised 49.5%
Sad 49.9%
Calm 49.6%

AWS Rekognition

Age 26-43
Gender Female, 50.5%
Calm 49.8%
Sad 50%
Happy 49.5%
Angry 49.6%
Disgusted 49.6%
Confused 49.6%
Surprised 49.5%

AWS Rekognition

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

AWS Rekognition

Age 12-22
Gender Female, 50.4%
Sad 49.9%
Confused 49.5%
Angry 49.8%
Happy 49.5%
Calm 49.7%
Surprised 49.5%
Disgusted 49.6%

AWS Rekognition

Age 35-52
Gender Female, 50.5%
Happy 49.5%
Angry 49.5%
Disgusted 49.5%
Confused 49.5%
Sad 49.5%
Calm 50.4%
Surprised 49.5%

AWS Rekognition

Age 26-43
Gender Male, 50.4%
Happy 49.6%
Calm 49.5%
Confused 49.6%
Disgusted 49.6%
Surprised 49.5%
Angry 50%
Sad 49.7%

AWS Rekognition

Age 35-52
Gender Female, 50.5%
Happy 49.6%
Disgusted 49.6%
Sad 49.7%
Confused 49.5%
Angry 49.6%
Surprised 49.5%
Calm 50%

AWS Rekognition

Age 26-43
Gender Female, 50.3%
Happy 49.6%
Calm 49.6%
Confused 49.6%
Disgusted 49.6%
Surprised 49.5%
Angry 49.7%
Sad 49.8%

AWS Rekognition

Age 14-25
Gender Female, 50.3%
Sad 49.7%
Happy 49.6%
Disgusted 49.6%
Calm 49.8%
Angry 49.7%
Confused 49.6%
Surprised 49.6%

AWS Rekognition

Age 23-38
Gender Male, 50.1%
Angry 49.8%
Happy 49.6%
Disgusted 49.5%
Confused 49.6%
Surprised 49.5%
Sad 49.8%
Calm 49.6%

AWS Rekognition

Age 26-43
Gender Female, 50.1%
Happy 49.5%
Surprised 49.5%
Calm 49.9%
Angry 49.6%
Confused 49.6%
Sad 49.7%
Disgusted 49.6%

AWS Rekognition

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

AWS Rekognition

Age 20-38
Gender Female, 50.1%
Sad 49.6%
Confused 49.5%
Angry 49.6%
Surprised 49.6%
Happy 49.6%
Calm 50%
Disgusted 49.6%

AWS Rekognition

Age 20-38
Gender Female, 50.4%
Sad 50.3%
Happy 49.5%
Calm 49.6%
Surprised 49.5%
Angry 49.6%
Disgusted 49.5%
Confused 49.5%

AWS Rekognition

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

AWS Rekognition

Age 17-27
Gender Female, 50.4%
Happy 49.6%
Surprised 49.6%
Angry 49.7%
Sad 49.6%
Confused 49.6%
Calm 49.6%
Disgusted 50%

AWS Rekognition

Age 29-45
Gender Male, 50.1%
Calm 50.1%
Angry 49.5%
Disgusted 49.5%
Sad 49.7%
Surprised 49.5%
Happy 49.5%
Confused 49.6%

AWS Rekognition

Age 48-68
Gender Female, 50.2%
Surprised 49.5%
Sad 50%
Happy 49.5%
Disgusted 49.7%
Confused 49.5%
Calm 49.6%
Angry 49.6%

Feature analysis

Amazon

Person 93%

Categories