Human Generated Data

Title

Social Settlements: Great Britain, England. Manchester. "Art Museum and University Settlement": Manchester Art Museum and University Settlement, Manchester, Eng.: Some of the uses of the playground of the university settlement.
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, 3.2002.2705.1

Human Generated Data

Title

Social Settlements: Great Britain, England. Manchester. "Art Museum and University Settlement": Manchester Art Museum and University Settlement, Manchester, Eng.: Some of the uses of the playground of the university settlement.

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, 3.2002.2705.1

Machine Generated Data

Tags

Amazon
created on 2019-06-05

Nature 99.8
Person 98.1
Human 98.1
Fog 97.9
Person 95.7
Person 95.2
Smoke 95.1
Person 93.3
Weather 92.4
Smog 90.7
Person 89.1
Pollution 88.1
Person 85.7
Outdoors 84.8
Person 83.2
Person 83.1
Person 82.2
Person 74.7
Person 72.3
Person 72.2
Mist 68.3
Person 62.6
Person 62.4
Person 61.9
Person 61.9
Aircraft 61.7
Transportation 61.7
Airplane 61.7
Vehicle 61.7
Person 60.4
Person 52.3
Person 51.3
Person 49

Clarifai
created on 2019-06-05

architecture 96.8
dirty 96.5
retro 95.6
ancient 95.3
antique 94.8
old 94.8
empty 94.5
paper 93.6
outdoors 93.6
messy 93.4
sand 93.1
rough 93.1
wall 93
building 92.7
no person 92.2
cardboard 91.3
fair weather 91
parchment 91
sun 90.7
sepia 90.5

Imagga
created on 2019-06-05

carton 46.8
box 37.5
container 34.8
house 22.6
design 20.8
grunge 20.4
sketch 20.4
texture 20.1
drawing 20
old 19.5
room 19.1
paper 19.1
vintage 19
tile 18.2
home 17.7
interior 17.7
empty 17.2
wall 15.9
antique 15.8
modern 14.7
floor 13.9
frame 13.3
architecture 13.3
retro 13.1
furniture 13
envelope 12.3
aged 11.8
art 11.7
pattern 11.6
new 11.3
structure 11.3
blank 11.1
style 11.1
representation 11
window 11
panel 11
business 10.9
wallpaper 10.7
cardboard 10.6
apartment 10.5
decoration 10.3
sheet 10.3
graphic 10.2
relax 10.1
bedroom 9.9
ancient 9.5
canvas 9.5
construction 9.4
mosquito net 9.3
space 9.3
relaxation 9.2
pillow 9.1
border 9
domestic 9
material 8.9
backgrounds 8.9
color 8.9
decor 8.8
decay 8.7
residential 8.6
hotel 8.6
damaged 8.6
dirty 8.1
travel 7.7
lamp 7.6
estate 7.6
bed 7.6
perspective 7.5
clean 7.5
element 7.4
brown 7.4
light 7.3
rough 7.3
yellow 7.3
textured 7

Google
created on 2019-06-05

Atmospheric phenomenon 90.9
Haze 84.6
Dust 63.1

Microsoft
created on 2019-06-05

outdoor 97.5
fog 96.1
person 58.5

Color Analysis

Face analysis

Amazon

AWS Rekognition

Age 26-44
Gender Female, 50.5%
Sad 49.7%
Angry 49.6%
Calm 49.9%
Confused 49.6%
Happy 49.6%
Surprised 49.6%
Disgusted 49.5%

AWS Rekognition

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

AWS Rekognition

Age 19-36
Gender Female, 50.5%
Confused 49.6%
Calm 49.5%
Happy 49.6%
Surprised 49.6%
Sad 49.8%
Angry 49.8%
Disgusted 49.6%

AWS Rekognition

Age 14-25
Gender Female, 50.4%
Sad 49.9%
Confused 49.6%
Angry 49.6%
Surprised 49.6%
Happy 49.5%
Calm 49.6%
Disgusted 49.5%

AWS Rekognition

Age 20-38
Gender Male, 50.5%
Disgusted 49.5%
Calm 49.6%
Angry 49.5%
Sad 50.2%
Happy 49.5%
Surprised 49.6%
Confused 49.6%

AWS Rekognition

Age 26-43
Gender Female, 50.5%
Sad 49.9%
Angry 49.6%
Calm 49.5%
Confused 49.8%
Happy 49.5%
Surprised 49.6%
Disgusted 49.6%

AWS Rekognition

Age 26-43
Gender Female, 50.5%
Sad 49.7%
Angry 49.6%
Calm 49.5%
Happy 49.6%
Disgusted 49.6%
Confused 49.8%
Surprised 49.6%

AWS Rekognition

Age 16-27
Gender Male, 50.5%
Happy 49.5%
Surprised 49.6%
Calm 49.6%
Angry 49.5%
Confused 49.6%
Sad 50.1%
Disgusted 49.6%

AWS Rekognition

Age 38-57
Gender Female, 50.5%
Disgusted 49.5%
Calm 49.5%
Surprised 49.5%
Angry 49.5%
Sad 49.6%
Confused 49.5%
Happy 50.2%

AWS Rekognition

Age 23-38
Gender Female, 50.5%
Happy 49.8%
Surprised 49.6%
Angry 49.7%
Sad 49.7%
Confused 49.5%
Calm 49.6%
Disgusted 49.6%

AWS Rekognition

Age 14-25
Gender Female, 50.4%
Disgusted 49.6%
Confused 49.7%
Surprised 49.8%
Calm 49.6%
Happy 49.6%
Angry 49.6%
Sad 49.6%

AWS Rekognition

Age 14-25
Gender Female, 50.5%
Sad 49.8%
Disgusted 49.6%
Surprised 49.6%
Angry 49.6%
Happy 49.6%
Calm 49.6%
Confused 49.7%

AWS Rekognition

Age 20-38
Gender Male, 50.4%
Sad 49.6%
Calm 50%
Disgusted 49.6%
Happy 49.6%
Confused 49.6%
Angry 49.6%
Surprised 49.6%

AWS Rekognition

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

AWS Rekognition

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

AWS Rekognition

Age 15-25
Gender Female, 50.5%
Surprised 49.5%
Calm 49.5%
Happy 49.5%
Sad 50%
Angry 49.8%
Confused 49.6%
Disgusted 49.5%

AWS Rekognition

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

AWS Rekognition

Age 15-25
Gender Female, 50.5%
Sad 49.6%
Angry 49.7%
Calm 49.8%
Confused 49.6%
Happy 49.7%
Surprised 49.6%
Disgusted 49.6%

AWS Rekognition

Age 23-38
Gender Male, 50.4%
Confused 49.6%
Angry 49.7%
Surprised 49.6%
Sad 50%
Disgusted 49.6%
Calm 49.5%
Happy 49.5%

AWS Rekognition

Age 17-27
Gender Female, 50.5%
Calm 49.5%
Angry 49.8%
Disgusted 49.6%
Sad 49.6%
Surprised 49.6%
Happy 49.7%
Confused 49.6%

AWS Rekognition

Age 20-38
Gender Female, 50.5%
Disgusted 49.5%
Angry 50.4%
Sad 49.5%
Surprised 49.5%
Happy 49.5%
Calm 49.5%
Confused 49.5%

AWS Rekognition

Age 23-38
Gender Female, 50.5%
Calm 49.7%
Confused 49.6%
Happy 49.5%
Sad 49.6%
Surprised 49.5%
Disgusted 49.5%
Angry 50%

AWS Rekognition

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

AWS Rekognition

Age 23-38
Gender Female, 50.5%
Sad 49.6%
Confused 49.7%
Calm 49.9%
Disgusted 49.5%
Happy 49.5%
Angry 49.7%
Surprised 49.6%

AWS Rekognition

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

AWS Rekognition

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

AWS Rekognition

Age 26-44
Gender Female, 50.5%
Happy 49.6%
Disgusted 49.5%
Confused 49.5%
Angry 49.6%
Surprised 49.5%
Sad 50.2%
Calm 49.6%

AWS Rekognition

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

AWS Rekognition

Age 19-36
Gender Female, 50.5%
Calm 49.6%
Surprised 49.6%
Disgusted 49.5%
Confused 49.6%
Happy 49.6%
Angry 49.7%
Sad 49.9%

AWS Rekognition

Age 14-23
Gender Male, 50.3%
Disgusted 49.5%
Confused 49.5%
Angry 49.5%
Calm 50.4%
Surprised 49.5%
Happy 49.5%
Sad 49.5%

AWS Rekognition

Age 26-43
Gender Female, 50.5%
Sad 49.7%
Surprised 49.6%
Calm 49.6%
Happy 49.5%
Disgusted 49.5%
Confused 49.8%
Angry 49.8%

AWS Rekognition

Age 20-38
Gender Female, 50.5%
Happy 49.5%
Calm 49.6%
Confused 49.9%
Disgusted 49.5%
Surprised 49.6%
Angry 49.7%
Sad 49.7%

AWS Rekognition

Age 23-38
Gender Female, 50.5%
Confused 49.6%
Disgusted 49.5%
Happy 49.5%
Calm 49.8%
Surprised 49.6%
Sad 49.6%
Angry 50%

AWS Rekognition

Age 38-59
Gender Female, 50.5%
Surprised 49.6%
Happy 49.7%
Confused 49.6%
Sad 49.6%
Calm 49.9%
Disgusted 49.6%
Angry 49.6%

Feature analysis

Amazon

Person 98.1%
Airplane 61.7%

Categories

Imagga

paintings art 99.2%

Text analysis

Amazon

hon

Google

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