Human Generated Data

Title

Untitled (photograph of large group of men in the Last Man's Club)
Date

1937
People

Artist: Durette Studio, American 20th century
Classification

Photographs
Credit Line

Harvard Art Museums/Fogg Museum, Transfer from the Carpenter Center for the Visual Arts, American Professional Photographers Collection, 4.2002.3992

Human Generated Data

Title

Untitled (photograph of large group of men in the Last Man's Club)

People

Artist: Durette Studio, American 20th century

Date

1937

Classification

Photographs

Credit Line

Harvard Art Museums/Fogg Museum, Transfer from the Carpenter Center for the Visual Arts, American Professional Photographers Collection, 4.2002.3992

Machine Generated Data

Tags

Amazon
created on 2019-06-01

Indoors 97.5
Room 97
Furniture 90.4
Chair 90.4
Conference Room 86.7
Meeting Room 86.7
Airplane 84.9
Transportation 84.9
Vehicle 84.9
Aircraft 84.9
Sitting 78.1
Text 65.9
Tabletop 63.1
Table 58.6
Interior Design 55.9
Restaurant 55.9
Cafe 55.9
Building 55.1
Housing 55.1

Clarifai
created on 2019-06-01

indoors 97.8
room 97.7
furniture 95.2
inside 94.5
people 90.7
window 89.4
business 89.1
light 88.5
modern 87.8
seat 87.3
no person 86.4
exhibition 84.8
lamp 84
technology 83.7
chair 82.8
city 82.1
reflection 81.4
contemporary 80.5
architecture 80.3
building 78.7

Imagga
created on 2019-06-01

canvas tent 60.2
interior 25.6
architecture 21.7
four-poster 21.7
bed 21.4
room 20.5
modern 19.6
furniture 18.4
mosquito net 17.8
building 17.3
office 16.9
window 15.3
wall 14.4
city 14.1
design 14.1
floor 13.9
protective covering 13.8
house 13.4
light 13.4
urban 13.1
bedroom furniture 13
structure 12.9
travel 12.7
business 12.1
inside 12
glass 11.8
home 11.2
empty 11.2
hall 10.7
vacation 10.6
chair 10.4
perspective 10.3
construction 10.3
table 9.6
covering 9
sky 8.9
people 8.9
technology 8.9
metal 8.8
indoors 8.8
water 8.7
holiday 8.6
sea 8.6
luxury 8.6
elegance 8.4
warm 8.3
life 7.8
roof 7.6
new 7.3
industrial 7.3
futuristic 7.2
transportation 7.2

Google
created on 2019-06-01

White 95.5
Black-and-white 91.8
Monochrome photography 80.4
Room 76.5
Photography 73.8
Glass 68.1
Stock photography 67.6
Monochrome 67.6
Architecture 65.5
Ceiling 57.5
Rectangle 53.4
Style 52.5
Transparent material 50.2

Microsoft
created on 2019-06-01

whiteboard 77
black and white 73.2
art 69.4
bed 54.2
image 33.1

Color Analysis

Face analysis

Amazon

AWS Rekognition

Age 20-38
Gender Female, 50%
Disgusted 49.5%
Calm 49.7%
Angry 49.6%
Sad 49.9%
Surprised 49.5%
Happy 49.6%
Confused 49.6%

AWS Rekognition

Age 35-52
Gender Female, 50.4%
Disgusted 49.5%
Calm 49.9%
Angry 49.5%
Sad 49.8%
Happy 49.7%
Surprised 49.5%
Confused 49.6%

AWS Rekognition

Age 38-59
Gender Female, 50.1%
Happy 49.5%
Calm 49.7%
Angry 49.6%
Confused 49.5%
Surprised 49.5%
Sad 49.7%
Disgusted 49.9%

AWS Rekognition

Age 26-44
Gender Male, 50.5%
Angry 49.6%
Sad 50.1%
Disgusted 49.5%
Happy 49.5%
Calm 49.7%
Surprised 49.5%
Confused 49.6%

AWS Rekognition

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

AWS Rekognition

Age 17-27
Gender Female, 50.4%
Angry 49.6%
Surprised 49.6%
Calm 49.7%
Sad 49.6%
Confused 49.6%
Disgusted 49.6%
Happy 49.8%

AWS Rekognition

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

AWS Rekognition

Age 17-27
Gender Male, 50.5%
Disgusted 49.5%
Confused 49.7%
Sad 49.7%
Happy 49.5%
Angry 49.6%
Surprised 49.6%
Calm 49.9%

AWS Rekognition

Age 23-38
Gender Female, 50.5%
Happy 49.7%
Confused 49.6%
Angry 49.6%
Sad 49.6%
Calm 49.8%
Surprised 49.6%
Disgusted 49.7%

AWS Rekognition

Age 35-52
Gender Female, 50.5%
Disgusted 49.6%
Confused 49.5%
Surprised 49.6%
Calm 49.7%
Happy 49.6%
Angry 49.7%
Sad 49.8%

AWS Rekognition

Age 23-38
Gender Male, 50%
Happy 49.6%
Sad 49.6%
Surprised 49.6%
Confused 49.6%
Disgusted 49.9%
Calm 49.7%
Angry 49.5%

AWS Rekognition

Age 26-43
Gender Female, 50.3%
Surprised 49.5%
Happy 49.7%
Disgusted 49.5%
Calm 49.7%
Sad 49.9%
Confused 49.5%
Angry 49.5%

AWS Rekognition

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

AWS Rekognition

Age 26-43
Gender Female, 50.4%
Sad 50.1%
Calm 49.8%
Surprised 49.5%
Angry 49.5%
Disgusted 49.5%
Happy 49.5%
Confused 49.5%

AWS Rekognition

Age 27-44
Gender Female, 50.5%
Angry 49.6%
Disgusted 49.6%
Happy 49.8%
Sad 49.6%
Surprised 49.6%
Calm 49.8%
Confused 49.6%

AWS Rekognition

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

AWS Rekognition

Age 35-52
Gender Male, 50.4%
Disgusted 49.6%
Sad 49.8%
Calm 49.6%
Confused 49.7%
Surprised 49.6%
Happy 49.6%
Angry 49.6%

AWS Rekognition

Age 26-44
Gender Female, 50.4%
Confused 49.6%
Surprised 49.5%
Angry 49.6%
Calm 49.5%
Disgusted 49.7%
Sad 49.9%
Happy 49.8%

AWS Rekognition

Age 20-38
Gender Female, 50.3%
Angry 49.7%
Happy 49.5%
Confused 49.5%
Sad 49.9%
Calm 49.6%
Surprised 49.5%
Disgusted 49.7%

AWS Rekognition

Age 14-25
Gender Female, 50.2%
Happy 49.6%
Disgusted 49.5%
Angry 49.5%
Calm 49.7%
Sad 50.1%
Confused 49.6%
Surprised 49.5%

AWS Rekognition

Age 23-38
Gender Female, 50.4%
Disgusted 49.5%
Angry 49.8%
Confused 49.6%
Sad 49.7%
Happy 49.5%
Calm 49.7%
Surprised 49.6%

AWS Rekognition

Age 27-44
Gender Female, 50.4%
Calm 49.6%
Surprised 49.5%
Sad 50%
Confused 49.6%
Disgusted 49.5%
Happy 49.6%
Angry 49.6%

AWS Rekognition

Age 26-43
Gender Female, 50.5%
Confused 49.6%
Happy 49.6%
Surprised 49.5%
Angry 49.6%
Disgusted 49.6%
Calm 49.7%
Sad 49.9%

AWS Rekognition

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

AWS Rekognition

Age 17-27
Gender Female, 50.2%
Sad 49.7%
Surprised 49.6%
Happy 49.6%
Angry 49.7%
Calm 49.6%
Confused 49.5%
Disgusted 49.8%

AWS Rekognition

Age 20-38
Gender Female, 50.3%
Happy 49.6%
Calm 49.8%
Angry 49.5%
Surprised 49.6%
Disgusted 50%
Confused 49.5%
Sad 49.5%

AWS Rekognition

Age 20-38
Gender Female, 50.4%
Calm 49.8%
Surprised 49.5%
Sad 49.8%
Confused 49.6%
Disgusted 49.6%
Happy 49.6%
Angry 49.6%

AWS Rekognition

Age 17-27
Gender Female, 50.5%
Happy 49.6%
Calm 49.7%
Angry 49.5%
Surprised 49.5%
Disgusted 49.6%
Confused 49.6%
Sad 50%

AWS Rekognition

Age 23-38
Gender Female, 50.5%
Happy 49.6%
Disgusted 49.5%
Angry 49.6%
Calm 49.9%
Surprised 49.6%
Confused 49.6%
Sad 49.8%

AWS Rekognition

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

AWS Rekognition

Age 23-38
Gender Female, 50.5%
Angry 49.5%
Sad 49.7%
Disgusted 49.5%
Surprised 49.5%
Happy 49.6%
Calm 50.2%
Confused 49.5%

Feature analysis

Amazon

Airplane 84.9%

Categories

Imagga

interior objects 95.2%
cars vehicles 4.6%

Captions