Human Generated Data

Title

Untitled (Omar, Scotts Run, West Virginia)

Date

October 1935

People

Artist: Ben Shahn, American 1898 - 1969

Classification

Photographs

Credit Line

Harvard Art Museums/Fogg Museum, Gift of Bernarda Bryson Shahn, P1970.1637

Copyright

© President and Fellows of Harvard College

Human Generated Data

Title

Untitled (Omar, Scotts Run, West Virginia)

People

Artist: Ben Shahn, American 1898 - 1969

Date

October 1935

Classification

Photographs

Credit Line

Harvard Art Museums/Fogg Museum, Gift of Bernarda Bryson Shahn, P1970.1637

Copyright

© President and Fellows of Harvard College

Machine Generated Data

Tags

Amazon
created on 2023-10-07

City 100
Road 100
Street 100
Urban 100
Neighborhood 99.9
Architecture 99.8
Outdoors 99.8
Shelter 99.8
Path 98.3
Sidewalk 98.3
Car 96.8
Transportation 96.8
Vehicle 96.8
Person 95.8
Person 95.6
Car 95
Person 92.8
Building 92.7
Person 92.6
Person 92.3
Car 92
Person 91.9
Person 91.8
Person 91.7
Person 91.5
Person 90.8
Person 88.6
Nature 86
Car 85.1
Person 82.7
Machine 81.6
Wheel 81.6
Shop 76
Person 75.1
Person 74.5
Person 74.3
Indoors 74.2
Restaurant 74.2
Bus Stop 71.8
Person 71.5
Wheel 70.6
Person 69.1
Person 64.4
Person 63.7
Person 62.5
Countryside 60.7
Person 60.1
Terminal 57
Railway 56.8
Train 56.8
Train Station 56.8
Snow 56.4
Hut 56.1
Rural 56.1
Cafeteria 56
Walking 55.8
Monastery 55.8
Postal Office 55.2
Alley 55.2
Factory 55.2
Spoke 55

Clarifai
created on 2018-05-11

people 99.9
group together 99.3
group 98.9
many 98
adult 97.5
vehicle 97.2
street 96.4
man 94.3
several 93.2
transportation system 91.7
two 91.6
one 89.9
road 88.7
war 87.5
wear 86.5
home 85.2
administration 85.2
military 83.5
print 83.2
railway 81.9

Imagga
created on 2023-10-07

snow 100
weather 59.8
winter 46
chairlift 40.8
ski tow 33.6
cold 31.9
building 30.1
architecture 29.3
house 26.1
conveyance 25.7
sky 23.6
city 21.6
trees 21.4
season 20.3
landscape 18.6
street 18.4
old 17.4
ice 16.6
tree 16.2
forest 15.7
frost 15.4
road 15.4
church 14.8
snowy 13.6
travel 13.4
structure 13.1
freeze 12.6
history 12.5
wood 12.5
town 12.1
home 12
mountain 11.7
religion 11.7
tourism 11.6
park 11.5
frozen 11.5
rural 11.5
urban 11.4
brick 11.3
scene 11.3
light 10.7
scenic 10.5
exterior 10.1
historic 10.1
outdoor 9.9
country 9.7
construction 9.4
wall 9.4
field 9.2
tourist 9.2
national 9.1
river 8.9
blizzard 8.9
chill 8.8
roof 8.7
outdoors 8.2
night 8
covered 7.8
mist 7.7
fog 7.7
window 7.7
temple 7.7
storm 7.7
culture 7.7
residential 7.7
pine 7.7
lamp 7.6
clouds 7.6
stone 7.6
new 7.3
landmark 7.2
scenery 7.2
holiday 7.2
tower 7.2
seasonal 7

Google
created on 2018-05-11

town 91.9
transport 88.3
infrastructure 87.3
residential area 82.2
black and white 81.8
street 81.5
neighbourhood 80.2
house 78.7
road 76.8
history 76.1
lane 69.3
suburb 62.7
monochrome 61.7
downtown 61.4
winter 58.9
car 58.3
monochrome photography 57.4
facade 55.5
tree 54.7

Microsoft
created on 2018-05-11

outdoor 99.7
sky 98.3
people 70.3

Color Analysis

Face analysis

Amazon

AWS Rekognition

Age 14-22
Gender Female, 96%
Calm 63.8%
Disgusted 19%
Surprised 9.3%
Fear 6.6%
Angry 3.3%
Sad 2.9%
Happy 2.8%
Confused 2%

AWS Rekognition

Age 9-17
Gender Male, 99%
Happy 58.1%
Calm 40.4%
Surprised 6.4%
Fear 5.9%
Sad 2.3%
Angry 0.3%
Disgusted 0.2%
Confused 0.1%

AWS Rekognition

Age 18-24
Gender Female, 93%
Calm 98.1%
Surprised 6.3%
Fear 5.9%
Sad 2.3%
Confused 0.6%
Happy 0.4%
Angry 0.2%
Disgusted 0.1%

AWS Rekognition

Age 16-24
Gender Male, 97.5%
Calm 97.6%
Surprised 6.3%
Fear 6.1%
Sad 2.4%
Angry 0.6%
Happy 0.1%
Disgusted 0.1%
Confused 0.1%

AWS Rekognition

Age 21-29
Gender Female, 59.9%
Surprised 89.8%
Calm 12.5%
Disgusted 10.8%
Fear 9.7%
Angry 4.5%
Sad 3.3%
Happy 2.7%
Confused 1.8%

AWS Rekognition

Age 16-24
Gender Male, 95.5%
Sad 98.5%
Calm 28.6%
Fear 7.1%
Surprised 6.9%
Confused 3.6%
Disgusted 2.7%
Angry 2.7%
Happy 2.3%

AWS Rekognition

Age 20-28
Gender Male, 76%
Sad 66.6%
Happy 41.2%
Calm 10%
Fear 8.8%
Surprised 6.9%
Confused 6.7%
Angry 1.7%
Disgusted 1.2%

AWS Rekognition

Age 10-18
Gender Female, 90.7%
Angry 40%
Sad 21.7%
Fear 14.4%
Happy 10.6%
Calm 9%
Surprised 8.7%
Disgusted 2.7%
Confused 0.9%

AWS Rekognition

Age 18-24
Gender Female, 90.1%
Calm 75%
Sad 15.5%
Happy 8.5%
Surprised 6.3%
Fear 6%
Angry 0.5%
Disgusted 0.3%
Confused 0.3%

AWS Rekognition

Age 18-26
Gender Male, 99.8%
Happy 52.9%
Angry 28.6%
Fear 9.8%
Surprised 6.7%
Calm 3.8%
Sad 3.8%
Confused 1.1%
Disgusted 0.5%

AWS Rekognition

Age 13-21
Gender Male, 98%
Calm 93.6%
Surprised 6.4%
Fear 6%
Sad 2.8%
Angry 2.4%
Happy 0.7%
Confused 0.4%
Disgusted 0.3%

Feature analysis

Amazon

Car 96.8%
Person 95.8%
Building 92.7%
Wheel 81.6%

Categories

Text analysis

Amazon

MERCANTILE
RESTAURANT
COMPANY
RESTAURANT QUICK SERVICE
QUICK
SERVICE
Tires
JUNCO MERCANTILE COMPANY
Daston
JUNCO
TDB
TDB 123RF
123RF

Google

RESTAURANT QUICK SERVICE
RESTAURANT
QUICK
SERVICE