Human Generated Data

Title

Social Settlements: United States. New York. New York City. "Hudson Guild": The Hudson Guild, New York City.: In the Country.

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, 3.2002.3183.3

Human Generated Data

Title

Social Settlements: United States. New York. New York City. "Hudson Guild": The Hudson Guild, New York City.: In the Country.

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, 3.2002.3183.3

Machine Generated Data

Tags

Amazon
created on 2019-06-06

Human 92.5
Person 92.5
Plant 81.8
Tree 81.8
Person 80.4
Path 75.2
Outdoors 73.2
Rug 67.1
Clothing 66
Apparel 66
Art 65.8
Painting 65.8
Walkway 62.4
People 60.2
Ground 59.1
Nature 58.3
Architecture 57.5
Building 57.5
Tower 57.5
Coat 56.3
Suit 56.3
Overcoat 56.3
Face 56
Soil 55.3
Person 46.9

Clarifai
created on 2019-06-06

people 96.6
desktop 95.3
illustration 94.9
wear 93.8
old 93.6
vintage 93.4
dirty 93.1
abstract 91.4
sooty 90
art 89.4
design 89.3
texture 89.2
retro 89.2
soil 88.6
rough 88.1
paper 88
antique 87.3
graphic 85
element 82.7
wallpaper 82.6

Imagga
created on 2019-06-06

snow 70.7
grunge 51.2
texture 45.2
old 42.6
weather 38.1
aged 37.2
dirty 35.3
pattern 33.6
wall 32.5
vintage 31.5
rough 30.1
wallpaper 29.2
weathered 28.6
paint 28.1
textured 28.1
antique 27.1
surface 26.5
grungy 25.7
material 23.3
stain 23.1
rusty 22.9
damaged 22
canvas 21.9
rust 21.2
frame 20.9
aging 20.2
retro 19.7
stained 19.3
design 19.2
paper 18.9
messy 18.4
detail 17.7
art 17.2
backgrounds 17.1
ancient 16.5
decay 16.4
worn 16.3
brown 16.2
decoration 15.7
border 15.4
structure 14.8
forest 14.8
color 14.5
winter 14.5
landscape 14.2
close 13.7
metal 13.7
season 13.3
ice 13.1
artistic 13.1
empty 12.9
torn 12.6
tree 12.5
obsolete 12.5
halftone 12.3
iron 12.2
cold 12.1
decorative 11.7
detailed 11.6
frost 11.5
metallic 11.1
effect 11
graphic 11
backdrop 10.7
graffito 10.7
burnt 10.7
steel 10.6
parchment 10.6
text 10.5
style 10.4
sheet 10.4
industry 10.3
orange 10
crack 9.7
black 9.6
spot 9.6
dirt 9.6
blank 9.4
stucco 9.4
architecture 9.4
natural 9.4
space 9.3
grain 9.2
map 9.2
atlas 9.1
trees 8.9
cool 8.9
corrosion 8.9
splash 8.7
spotted 8.7
frozen 8.6
age 8.6
watercolor 8.6
textures 8.6
dark 8.4
document 8.4
cover 8.3
drawing 8.3
artwork 8.3
branch 8.2
industrial 8.2
earth 8
creative 8
distressed 7.9
grime 7.8
scratch 7.8
mottled 7.8
scene 7.8
snowy 7.8
construction 7.7
cardboard 7.7
stone 7.6
element 7.5
park 7.4
lines 7.2
seasonal 7

Google
created on 2019-06-06

Microsoft
created on 2019-06-06

tree 99.3
outdoor 98.5

Color Analysis

Face analysis

Amazon

AWS Rekognition

Age 10-15
Gender Female, 50.4%
Happy 49.6%
Sad 49.9%
Confused 49.5%
Calm 49.5%
Angry 49.8%
Disgusted 49.6%
Surprised 49.5%

AWS Rekognition

Age 26-43
Gender Female, 50.5%
Angry 50%
Sad 49.9%
Calm 49.5%
Disgusted 49.6%
Happy 49.5%
Surprised 49.5%
Confused 49.5%

AWS Rekognition

Age 26-43
Gender Female, 50.4%
Disgusted 49.6%
Surprised 49.5%
Sad 50.1%
Angry 49.8%
Happy 49.5%
Confused 49.5%
Calm 49.5%

AWS Rekognition

Age 26-43
Gender Female, 50.5%
Disgusted 49.5%
Confused 49.5%
Happy 50.2%
Sad 49.6%
Surprised 49.5%
Calm 49.5%
Angry 49.5%

AWS Rekognition

Age 19-36
Gender Female, 50.5%
Calm 49.5%
Disgusted 49.6%
Surprised 49.6%
Angry 49.7%
Sad 49.6%
Confused 49.5%
Happy 50%

AWS Rekognition

Age 23-38
Gender Female, 50.1%
Angry 49.5%
Happy 49.6%
Disgusted 49.5%
Confused 49.5%
Calm 49.5%
Surprised 49.5%
Sad 50.2%

AWS Rekognition

Age 35-52
Gender Female, 50.5%
Surprised 49.6%
Angry 49.6%
Sad 49.9%
Happy 49.6%
Disgusted 49.6%
Calm 49.6%
Confused 49.6%

AWS Rekognition

Age 26-43
Gender Female, 50.2%
Surprised 49.5%
Disgusted 49.6%
Sad 50.1%
Calm 49.6%
Confused 49.5%
Angry 49.6%
Happy 49.5%

AWS Rekognition

Age 26-44
Gender Female, 50.5%
Angry 49.5%
Surprised 49.5%
Calm 49.5%
Happy 49.5%
Confused 49.5%
Disgusted 49.5%
Sad 50.4%

AWS Rekognition

Age 26-43
Gender Female, 50.5%
Disgusted 49.5%
Calm 49.5%
Confused 49.5%
Happy 49.6%
Surprised 49.5%
Angry 49.6%
Sad 50.3%

AWS Rekognition

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

AWS Rekognition

Age 4-9
Gender Female, 50.1%
Angry 49.6%
Calm 49.6%
Surprised 49.6%
Sad 49.7%
Disgusted 49.9%
Happy 49.6%
Confused 49.6%

AWS Rekognition

Age 12-22
Gender Male, 50.1%
Angry 49.6%
Surprised 49.5%
Disgusted 49.7%
Sad 49.9%
Happy 49.6%
Confused 49.6%
Calm 49.7%

AWS Rekognition

Age 23-38
Gender Female, 50.5%
Happy 49.7%
Sad 50.1%
Confused 49.5%
Calm 49.5%
Angry 49.6%
Disgusted 49.6%
Surprised 49.6%

AWS Rekognition

Age 35-52
Gender Female, 50.2%
Angry 49.6%
Surprised 49.6%
Disgusted 49.6%
Calm 49.7%
Sad 50%
Happy 49.6%
Confused 49.6%

AWS Rekognition

Age 48-68
Gender Female, 50.4%
Calm 49.5%
Happy 49.5%
Sad 50.4%
Angry 49.5%
Disgusted 49.5%
Confused 49.5%
Surprised 49.5%

AWS Rekognition

Age 48-68
Gender Female, 50.1%
Sad 50.3%
Confused 49.5%
Surprised 49.5%
Happy 49.5%
Angry 49.6%
Disgusted 49.5%
Calm 49.5%

AWS Rekognition

Age 48-68
Gender Female, 50.2%
Calm 49.5%
Sad 50.4%
Confused 49.5%
Angry 49.5%
Disgusted 49.5%
Surprised 49.5%
Happy 49.5%

AWS Rekognition

Age 26-43
Gender Female, 52.3%
Sad 53.9%
Disgusted 45.1%
Calm 45.1%
Confused 45.1%
Happy 45.1%
Surprised 45.1%
Angry 45.5%

AWS Rekognition

Age 26-43
Gender Female, 54.8%
Angry 45.3%
Surprised 45.4%
Disgusted 46.1%
Sad 46.5%
Happy 48%
Confused 45.2%
Calm 48.5%

AWS Rekognition

Age 10-15
Gender Female, 50.2%
Angry 49.6%
Sad 49.9%
Calm 49.7%
Disgusted 49.6%
Happy 49.6%
Surprised 49.6%
Confused 49.6%

AWS Rekognition

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

AWS Rekognition

Age 10-15
Gender Female, 50.4%
Calm 49.6%
Confused 49.6%
Happy 49.6%
Disgusted 49.7%
Angry 49.8%
Surprised 49.6%
Sad 49.6%

AWS Rekognition

Age 11-18
Gender Female, 50.5%
Confused 49.5%
Happy 49.6%
Sad 49.6%
Disgusted 49.5%
Angry 49.5%
Calm 50.2%
Surprised 49.5%

AWS Rekognition

Age 26-43
Gender Female, 50.1%
Happy 49.5%
Disgusted 49.5%
Surprised 49.7%
Sad 49.6%
Confused 49.7%
Angry 49.6%
Calm 49.8%

AWS Rekognition

Age 60-90
Gender Female, 50.3%
Disgusted 49.7%
Calm 49.5%
Confused 49.5%
Happy 50%
Surprised 49.5%
Angry 49.5%
Sad 49.6%

AWS Rekognition

Age 26-43
Gender Male, 54.5%
Calm 48.8%
Sad 46.8%
Confused 46.5%
Angry 45.8%
Disgusted 45.3%
Surprised 46.1%
Happy 45.6%

AWS Rekognition

Age 27-44
Gender Female, 50.2%
Confused 49.6%
Angry 49.6%
Disgusted 49.5%
Calm 49.6%
Happy 49.6%
Surprised 49.5%
Sad 50.1%

AWS Rekognition

Age 12-22
Gender Female, 50.4%
Angry 49.5%
Sad 49.6%
Disgusted 50.1%
Calm 49.7%
Surprised 49.5%
Confused 49.5%
Happy 49.6%

AWS Rekognition

Age 9-14
Gender Female, 50.3%
Disgusted 49.5%
Confused 49.6%
Surprised 49.6%
Calm 49.6%
Happy 49.5%
Angry 49.5%
Sad 50.1%

AWS Rekognition

Age 35-53
Gender Female, 50.1%
Angry 49.5%
Happy 49.5%
Disgusted 49.5%
Confused 49.5%
Calm 49.6%
Surprised 49.5%
Sad 50.3%

AWS Rekognition

Age 19-36
Gender Female, 50.4%
Calm 49.5%
Disgusted 49.6%
Angry 49.5%
Happy 49.6%
Sad 50.2%
Surprised 49.5%
Confused 49.5%

Feature analysis

Amazon

Person 92.5%
Rug 67.1%
Painting 65.8%

Categories