Human Generated Data

Title

Untitled (large group of people standing with veterans in uniform in foreground)

Date

1946

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, 4.2002.4235

Human Generated Data

Title

Untitled (large group of people standing with veterans in uniform in foreground)

People

Artist: Durette Studio, American 20th century

Date

1946

Classification

Photographs

Credit Line

Harvard Art Museums/Fogg Museum, Transfer from the Carpenter Center for the Visual Arts, American Professional Photographers Collection, 4.2002.4235

Machine Generated Data

Tags

Amazon
created on 2019-06-01

Person 99
Human 99
Person 98.9
Person 98.4
Person 96.9
Person 96.6
Person 95.4
Person 94.9
Sailor Suit 93.3
Person 84.2
Person 82.5
Person 80.5
Person 78.9
Military 77
Person 76.1
Person 75.1
Person 72.1
Person 71.8
Water 70.4
Crowd 70.3
Indoors 68.6
Officer 65.6
Military Uniform 65.6
People 64.5
Waterfront 64.1
Person 62.2
Porch 61.5
Navy 61.1
Apparel 57.5
Clothing 57.5
Coat 57.5
Port 56.6
Dock 56.6
Pier 56.6
Stage 55.5
Person 43.8

Clarifai
created on 2019-06-01

people 99.9
many 98.9
group together 98.7
group 98.1
wear 95.4
man 95.3
crowd 95.3
adult 93.7
woman 89.6
room 89.5
ceremony 88.6
military 88.2
outfit 84
war 82.9
uniform 80.6
veil 80.3
furniture 77.7
indoors 76.8
administration 76.1
leader 75.9

Imagga
created on 2019-06-01

boutique 66.2
interior 44.2
room 42.1
architecture 28.1
house 26.8
floor 26
table 24.2
modern 22.4
home 22.3
furniture 22.3
window 19.6
decor 19.5
chair 19.3
building 18.7
outfit 18.3
luxury 18
hall 17.9
inside 17.5
lamp 17.2
design 16.9
indoors 14.9
apartment 13.4
style 13.4
wood 13.3
decoration 13
shop 12.8
business 12.8
light 12.7
toilet 12.6
residential 12.4
structure 12.4
estate 12.3
living 12.3
elegant 12
corridor 11.8
city 11.6
sofa 11.5
comfortable 11.5
travel 11.3
glass 10.9
people 10.6
new 10.5
wall 10.4
nobody 10.1
elegance 10.1
indoor 10
laundry 9.7
urban 9.6
empty 9.4
contemporary 9.4
lifestyle 9.4
relax 9.3
office 9.3
clean 9.2
couch 8.7
expensive 8.6
coat hanger 8.6
hotel 8.6
3d 8.5
classic 8.4
restaurant 8.2
stylish 8.1
transportation 8.1
group 8.1
residence 7.9
hanger 7.9
carpet 7.8
space 7.8
train 7.7
real 7.6
row 7.5
lights 7.4
door 7

Google
created on 2019-06-01

Microsoft
created on 2019-06-01

wedding dress 95
person 84.3
bride 81.6
clothing 79.2
white 79
dress 77.7
black 76.8
standing 75.5
woman 67.8
dance 67.3
posing 35.4

Color Analysis

Face analysis

Amazon

AWS Rekognition

Age 35-53
Gender Male, 51.9%
Confused 45.9%
Calm 48.3%
Sad 46.9%
Surprised 45.8%
Angry 46.2%
Disgusted 46.1%
Happy 45.9%

AWS Rekognition

Age 15-25
Gender Male, 50.3%
Angry 49.6%
Calm 49.7%
Sad 50%
Surprised 49.5%
Disgusted 49.6%
Happy 49.6%
Confused 49.5%

AWS Rekognition

Age 26-43
Gender Female, 54.1%
Surprised 45.1%
Confused 45.1%
Disgusted 45.1%
Happy 45.1%
Sad 54%
Calm 45.5%
Angry 45.1%

AWS Rekognition

Age 26-43
Gender Male, 50.2%
Happy 49.5%
Surprised 49.5%
Calm 49.7%
Sad 50.1%
Disgusted 49.5%
Angry 49.6%
Confused 49.6%

AWS Rekognition

Age 26-43
Gender Male, 50.3%
Angry 49.5%
Happy 49.5%
Confused 49.6%
Calm 50.1%
Disgusted 49.5%
Sad 49.7%
Surprised 49.6%

AWS Rekognition

Age 26-44
Gender Male, 50.5%
Happy 49.6%
Surprised 49.5%
Calm 49.9%
Sad 49.8%
Disgusted 49.5%
Angry 49.6%
Confused 49.6%

AWS Rekognition

Age 26-43
Gender Female, 50.2%
Disgusted 49.5%
Happy 49.9%
Surprised 49.5%
Sad 49.6%
Angry 49.5%
Confused 49.5%
Calm 49.9%

AWS Rekognition

Age 23-38
Gender Female, 50.4%
Angry 49.5%
Surprised 49.5%
Calm 49.6%
Sad 50%
Confused 49.5%
Disgusted 49.6%
Happy 49.8%

AWS Rekognition

Age 19-36
Gender Male, 50%
Sad 50.1%
Angry 49.5%
Surprised 49.5%
Calm 49.6%
Disgusted 49.6%
Happy 49.5%
Confused 49.6%

AWS Rekognition

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

AWS Rekognition

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

AWS Rekognition

Age 11-18
Gender Male, 50.3%
Confused 49.6%
Surprised 49.5%
Happy 49.5%
Angry 49.6%
Sad 50.3%
Disgusted 49.5%
Calm 49.5%

AWS Rekognition

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

AWS Rekognition

Age 20-38
Gender Female, 50.4%
Happy 49.6%
Sad 49.6%
Confused 49.5%
Angry 49.6%
Disgusted 49.6%
Surprised 49.6%
Calm 50%

AWS Rekognition

Age 20-38
Gender Male, 50.4%
Disgusted 49.5%
Calm 50.2%
Sad 49.8%
Confused 49.5%
Angry 49.5%
Surprised 49.5%
Happy 49.5%

AWS Rekognition

Age 23-38
Gender Female, 50.3%
Angry 49.5%
Disgusted 49.5%
Happy 49.5%
Sad 49.5%
Surprised 49.5%
Calm 50.4%
Confused 49.5%

AWS Rekognition

Age 20-38
Gender Male, 50.3%
Disgusted 49.6%
Sad 49.8%
Surprised 49.7%
Happy 49.6%
Angry 49.6%
Calm 49.7%
Confused 49.7%

AWS Rekognition

Age 23-38
Gender Female, 52.2%
Surprised 46%
Sad 46.7%
Happy 45.3%
Angry 46%
Disgusted 45.6%
Confused 46%
Calm 49.5%

AWS Rekognition

Age 19-36
Gender Female, 50.2%
Angry 49.5%
Disgusted 49.5%
Confused 49.5%
Calm 49.8%
Sad 50%
Surprised 49.5%
Happy 49.6%

AWS Rekognition

Age 26-43
Gender Female, 50.3%
Angry 49.5%
Sad 50.4%
Disgusted 49.5%
Happy 49.5%
Calm 49.5%
Surprised 49.5%
Confused 49.5%

AWS Rekognition

Age 35-52
Gender Male, 50%
Disgusted 49.5%
Sad 50.1%
Confused 49.5%
Happy 49.8%
Angry 49.5%
Surprised 49.5%
Calm 49.5%

AWS Rekognition

Age 20-38
Gender Male, 50.2%
Confused 49.6%
Angry 49.5%
Sad 50.1%
Calm 49.6%
Disgusted 49.5%
Happy 49.5%
Surprised 49.6%

AWS Rekognition

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

AWS Rekognition

Age 20-38
Gender Female, 50.4%
Disgusted 49.5%
Calm 49.9%
Angry 49.5%
Sad 49.9%
Happy 49.6%
Surprised 49.5%
Confused 49.5%

AWS Rekognition

Age 20-38
Gender Female, 50.4%
Disgusted 49.6%
Confused 49.5%
Sad 49.7%
Happy 49.7%
Angry 49.5%
Surprised 49.6%
Calm 50%

AWS Rekognition

Age 17-27
Gender Female, 50.3%
Confused 49.5%
Surprised 49.6%
Sad 50%
Angry 49.6%
Happy 49.6%
Calm 49.6%
Disgusted 49.6%

AWS Rekognition

Age 35-55
Gender Male, 50.3%
Sad 49.7%
Angry 49.6%
Disgusted 49.5%
Surprised 49.6%
Happy 49.8%
Calm 49.9%
Confused 49.5%

AWS Rekognition

Age 35-52
Gender Female, 50%
Happy 49.5%
Surprised 49.6%
Calm 49.9%
Sad 49.6%
Disgusted 49.7%
Angry 49.6%
Confused 49.6%

AWS Rekognition

Age 17-27
Gender Female, 50.4%
Happy 49.6%
Calm 49.8%
Angry 49.6%
Surprised 49.6%
Disgusted 49.6%
Confused 49.5%
Sad 49.8%

AWS Rekognition

Age 60-90
Gender Female, 50.5%
Confused 49.6%
Disgusted 49.5%
Happy 49.6%
Surprised 49.5%
Calm 49.9%
Sad 49.8%
Angry 49.6%

AWS Rekognition

Age 19-36
Gender Female, 50.3%
Confused 49.5%
Disgusted 49.7%
Calm 49.5%
Angry 49.5%
Sad 50.3%
Happy 49.5%
Surprised 49.5%

AWS Rekognition

Age 29-45
Gender Female, 50%
Sad 49.8%
Angry 49.6%
Surprised 49.5%
Calm 50%
Disgusted 49.5%
Happy 49.5%
Confused 49.5%

AWS Rekognition

Age 15-25
Gender Male, 50%
Confused 49.5%
Calm 49.6%
Sad 50.3%
Surprised 49.5%
Angry 49.5%
Disgusted 49.5%
Happy 49.5%

AWS Rekognition

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

AWS Rekognition

Age 29-45
Gender Female, 50.4%
Surprised 49.5%
Disgusted 50.1%
Calm 49.5%
Happy 49.6%
Sad 49.6%
Angry 49.6%
Confused 49.5%

AWS Rekognition

Age 16-27
Gender Female, 50.4%
Surprised 49.6%
Confused 49.5%
Disgusted 49.5%
Happy 49.7%
Sad 49.6%
Calm 50%
Angry 49.5%

AWS Rekognition

Age 35-52
Gender Female, 50.5%
Angry 49.5%
Happy 49.5%
Confused 49.5%
Sad 49.6%
Calm 50.3%
Surprised 49.5%
Disgusted 49.5%

AWS Rekognition

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

AWS Rekognition

Age 30-47
Gender Female, 50.4%
Confused 49.5%
Disgusted 49.6%
Calm 50%
Angry 49.5%
Sad 49.5%
Happy 49.7%
Surprised 49.6%

AWS Rekognition

Age 48-68
Gender Female, 50.1%
Disgusted 49.5%
Sad 49.6%
Confused 49.6%
Happy 49.5%
Angry 49.6%
Surprised 49.5%
Calm 50.2%

AWS Rekognition

Age 17-27
Gender Female, 50.3%
Happy 49.6%
Disgusted 49.9%
Angry 49.6%
Surprised 49.6%
Sad 49.5%
Calm 49.8%
Confused 49.5%

AWS Rekognition

Age 19-36
Gender Female, 50.4%
Happy 49.6%
Disgusted 49.7%
Angry 49.7%
Calm 49.7%
Sad 49.6%
Confused 49.6%
Surprised 49.6%

AWS Rekognition

Age 17-27
Gender Female, 50%
Calm 49.7%
Disgusted 49.6%
Sad 49.9%
Surprised 49.5%
Happy 49.6%
Confused 49.5%
Angry 49.7%

AWS Rekognition

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

AWS Rekognition

Age 20-38
Gender Female, 50.4%
Confused 49.6%
Calm 50%
Sad 49.7%
Surprised 49.6%
Angry 49.5%
Disgusted 49.5%
Happy 49.7%

AWS Rekognition

Age 26-43
Gender Female, 50.4%
Angry 49.6%
Calm 49.9%
Sad 49.7%
Surprised 49.6%
Disgusted 49.6%
Happy 49.6%
Confused 49.5%

AWS Rekognition

Age 45-63
Gender Male, 50%
Confused 49.5%
Angry 49.6%
Sad 49.8%
Calm 49.7%
Disgusted 49.6%
Happy 49.8%
Surprised 49.6%

AWS Rekognition

Age 20-38
Gender Female, 50.1%
Happy 49.5%
Calm 49.5%
Angry 49.5%
Surprised 49.5%
Disgusted 49.5%
Confused 49.5%
Sad 50.3%

AWS Rekognition

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

AWS Rekognition

Age 26-43
Gender Female, 50.5%
Disgusted 49.5%
Calm 49.7%
Surprised 49.6%
Angry 49.5%
Happy 49.6%
Sad 50%
Confused 49.6%

AWS Rekognition

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

AWS Rekognition

Age 27-44
Gender Female, 50.1%
Disgusted 49.5%
Happy 49.5%
Surprised 49.5%
Sad 49.6%
Angry 49.5%
Confused 49.5%
Calm 50.3%

AWS Rekognition

Age 29-45
Gender Male, 50.5%
Sad 49.6%
Angry 49.5%
Disgusted 50.2%
Surprised 49.5%
Happy 49.5%
Calm 49.5%
Confused 49.6%

AWS Rekognition

Age 20-38
Gender Male, 50%
Confused 49.5%
Disgusted 49.5%
Calm 49.6%
Angry 49.6%
Sad 50.2%
Happy 49.5%
Surprised 49.5%

AWS Rekognition

Age 48-68
Gender Female, 50.3%
Happy 49.7%
Confused 49.6%
Disgusted 49.5%
Sad 49.7%
Calm 49.9%
Angry 49.6%
Surprised 49.5%

AWS Rekognition

Age 23-38
Gender Female, 50.4%
Happy 49.5%
Confused 49.5%
Angry 49.6%
Disgusted 49.6%
Surprised 49.5%
Sad 49.7%
Calm 50.1%

AWS Rekognition

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

AWS Rekognition

Age 15-25
Gender Male, 50.5%
Calm 49.7%
Disgusted 49.9%
Sad 49.6%
Surprised 49.5%
Happy 49.6%
Confused 49.6%
Angry 49.6%

AWS Rekognition

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

AWS Rekognition

Age 26-43
Gender Female, 50.3%
Surprised 49.6%
Calm 49.6%
Disgusted 49.6%
Confused 49.6%
Sad 49.9%
Happy 49.6%
Angry 49.7%

AWS Rekognition

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

AWS Rekognition

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

AWS Rekognition

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

AWS Rekognition

Age 20-38
Gender Female, 50.4%
Confused 49.5%
Disgusted 49.7%
Happy 50.1%
Surprised 49.5%
Calm 49.5%
Sad 49.5%
Angry 49.5%

AWS Rekognition

Age 16-27
Gender Female, 50.3%
Sad 49.6%
Angry 49.8%
Happy 49.6%
Confused 49.5%
Calm 49.6%
Surprised 49.6%
Disgusted 49.7%

AWS Rekognition

Age 1-5
Gender Female, 50.5%
Angry 49.5%
Calm 49.7%
Sad 50.2%
Surprised 49.5%
Disgusted 49.5%
Happy 49.5%
Confused 49.5%

AWS Rekognition

Age 26-43
Gender Female, 50.2%
Disgusted 49.5%
Calm 50.3%
Confused 49.6%
Sad 49.6%
Surprised 49.5%
Angry 49.5%
Happy 49.5%

AWS Rekognition

Age 26-43
Gender Male, 50.3%
Calm 49.8%
Disgusted 49.5%
Sad 49.8%
Surprised 49.6%
Happy 49.5%
Confused 49.7%
Angry 49.6%

Feature analysis

Amazon

Person 99%

Categories

Imagga

interior objects 99.7%

Text analysis

Amazon

OSR