Human Generated Data

Title

Social Settlements: Great Britain, England. London. Bermondsey Settlement: Bermondsey Settlement, London, Eng.: Beatrice House

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, 3.2002.2674.1

Human Generated Data

Title

Social Settlements: Great Britain, England. London. Bermondsey Settlement: Bermondsey Settlement, London, Eng.: Beatrice House

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, 3.2002.2674.1

Machine Generated Data

Tags

Amazon
created on 2019-06-05

Nature 99.6
Person 98.8
Human 98.8
Outdoors 98.1
Person 97.9
Person 97.6
Building 93.7
Urban 93.7
Town 93.7
City 93.7
Metropolis 93.7
Weather 91
Person 89
Person 87.3
Person 86.8
Walkway 85.7
Path 85.7
Snow 84.4
Person 78.2
Person 77.8
Winter 70.7
Person 70.3
Fog 67.1
Person 58.6
Sidewalk 58.6
Pavement 58.6
Person 58.3
Road 57.2
Storm 56.1
Person 52.7
Person 46.5

Clarifai
created on 2019-06-05

architecture 97.1
building 95.4
art 93.4
no person 92.2
wall 91.6
old 91.5
people 90.9
city 90
wear 89.9
vintage 89.8
light 88.8
travel 87.3
ancient 87
retro 86.8
outdoors 85.1
window 83.8
house 83.2
design 82.8
adult 82.8
square 79.6

Imagga
created on 2019-06-05

wall 60.9
texture 57.7
old 48.1
material 47.4
grunge 41.7
panel 41.5
brown 37.6
rough 36.5
vintage 35.6
surface 34.4
aged 34.4
wallpaper 33.7
pattern 33.5
textured 32.5
antique 30.8
stucco 30.3
structure 27.5
parquet 26.9
dirty 25.3
ancient 25.1
paper 24.3
wood 24.2
board 23.6
architecture 23
retro 23
design 22.5
timber 22.4
grain 22.2
detail 21.7
rusty 21
weathered 20.9
grungy 20.9
floor 20.5
damaged 20
empty 19.8
backgrounds 19.5
wooden 19.4
backdrop 19
construction 18.8
worn 18.2
natural 15.4
canvas 15.2
frame 15
art 14.9
hardwood 14.8
lumber 14.7
historic 14.7
plank 14.7
aging 14.4
dark 14.2
closeup 14.2
oak 13.8
parchment 13.4
sheet 13.2
blank 12.9
letter 12.8
ragged 12.7
decay 12.5
rust 12.5
pine 12
building 11.7
grime 11.7
stains 11.7
space 11.6
spot 11.5
metal 11.3
striped 11.3
close 10.9
crumpled 10.7
brick 10.6
color 10.6
cardboard 10.6
rustic 10.6
urban 10.5
artistic 10.4
furniture 10.3
industry 10.3
metallic 10.1
decorative 10
tree 10
paint 10
border 10
yellow 9.9
crease 9.8
fracture 9.7
decor 9.7
crack 9.7
textures 9.5
build 9.5
stone 9.3
document 9.3
steel 8.8
carpentry 8.8
scratched 8.8
faded 8.8
concrete 8.6
tile 8.6
old fashioned 8.6
page 8.4
cover 8.3
tracery 8.2
history 8.1
graphic 8
home 8
flooring 7.9
pages 7.8
scratch 7.8
mottled 7.8
stained 7.7
stain 7.7
obsolete 7.7
hard 7.6
iron 7.5
exterior 7.4
interior 7.1

Google
created on 2019-06-05

White 96.5
Atmospheric phenomenon 87.5
Yellow 83.6
Architecture 76.3
Material property 69.9
Beige 68.9
Tree 68.7
House 68.3
Building 67.8
Room 65.7
Tints and shades 61.6
Window 59.1
History 57.6
Facade 56.5
Illustration 50.4

Microsoft
created on 2019-06-05

fog 97.6
window 91.4
building 90.6
sky 77.8
old 72.8
house 71.1

Color Analysis

Face analysis

Amazon

AWS Rekognition

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

AWS Rekognition

Age 26-44
Gender Female, 50.3%
Angry 49.7%
Happy 49.5%
Disgusted 49.5%
Sad 49.8%
Confused 49.8%
Calm 49.6%
Surprised 49.6%

AWS Rekognition

Age 16-27
Gender Female, 50.5%
Disgusted 49.5%
Sad 49.8%
Calm 49.9%
Happy 49.5%
Confused 49.6%
Surprised 49.6%
Angry 49.6%

AWS Rekognition

Age 30-47
Gender Female, 50.1%
Confused 49.5%
Calm 49.5%
Happy 49.6%
Surprised 49.5%
Sad 50.3%
Angry 49.5%
Disgusted 49.5%

AWS Rekognition

Age 26-43
Gender Female, 50.4%
Confused 49.6%
Happy 49.5%
Angry 50.2%
Sad 49.7%
Calm 49.5%
Disgusted 49.5%
Surprised 49.5%

AWS Rekognition

Age 27-44
Gender Female, 50.1%
Angry 49.6%
Calm 49.8%
Sad 49.9%
Disgusted 49.5%
Happy 49.6%
Confused 49.5%
Surprised 49.5%

AWS Rekognition

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

AWS Rekognition

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

AWS Rekognition

Age 19-36
Gender Female, 50.5%
Sad 50.1%
Angry 49.5%
Calm 49.5%
Confused 49.6%
Happy 49.6%
Surprised 49.5%
Disgusted 49.6%

AWS Rekognition

Age 14-25
Gender Male, 50.5%
Angry 50%
Happy 49.5%
Surprised 49.6%
Calm 49.5%
Confused 49.7%
Sad 49.6%
Disgusted 49.5%

AWS Rekognition

Age 20-38
Gender Female, 50.4%
Disgusted 49.7%
Surprised 49.6%
Confused 49.6%
Sad 49.8%
Angry 49.7%
Calm 49.5%
Happy 49.6%

AWS Rekognition

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

AWS Rekognition

Age 20-38
Gender Female, 50.4%
Happy 49.6%
Calm 50.2%
Confused 49.5%
Disgusted 49.5%
Surprised 49.5%
Angry 49.5%
Sad 49.6%

AWS Rekognition

Age 14-25
Gender Female, 50.2%
Sad 49.6%
Surprised 49.6%
Calm 49.7%
Happy 49.6%
Disgusted 49.9%
Confused 49.6%
Angry 49.7%

AWS Rekognition

Age 17-27
Gender Female, 50.3%
Calm 49.5%
Confused 49.5%
Happy 49.5%
Sad 49.5%
Surprised 49.5%
Disgusted 50.3%
Angry 49.6%

AWS Rekognition

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

AWS Rekognition

Age 20-38
Gender Female, 50.4%
Confused 49.6%
Disgusted 49.5%
Happy 49.5%
Calm 49.5%
Surprised 49.6%
Sad 49.6%
Angry 50.2%

AWS Rekognition

Age 16-27
Gender Female, 50.5%
Sad 50%
Surprised 49.6%
Angry 49.6%
Disgusted 49.5%
Confused 49.6%
Happy 49.6%
Calm 49.6%

AWS Rekognition

Age 4-9
Gender Female, 50.4%
Disgusted 49.5%
Happy 49.5%
Sad 50.3%
Angry 49.5%
Calm 49.5%
Confused 49.6%
Surprised 49.5%

AWS Rekognition

Age 16-27
Gender Female, 50.4%
Confused 49.5%
Calm 49.5%
Happy 49.6%
Surprised 49.6%
Sad 49.7%
Angry 49.7%
Disgusted 49.9%

Feature analysis

Amazon

Person 98.8%

Categories

Imagga

paintings art 88.1%
interior objects 10.3%

Text analysis

Amazon

LE
LE H
AE0GI
H

Google

SUBT
SUBT