Human Generated Data

Title

Untitled (large group of men posed outdoors in front of farm machinery)

Date

1954

People

Artist: Orrion Barger, American active 1913 - 1984

Classification

Photographs

Credit Line

Harvard Art Museums/Fogg Museum, Transfer from the Carpenter Center for the Visual Arts, American Professional Photographers Collection, 4.2002.6595

Human Generated Data

Title

Untitled (large group of men posed outdoors in front of farm machinery)

People

Artist: Orrion Barger, American active 1913 - 1984

Date

1954

Classification

Photographs

Credit Line

Harvard Art Museums/Fogg Museum, Transfer from the Carpenter Center for the Visual Arts, American Professional Photographers Collection, 4.2002.6595

Machine Generated Data

Tags

Amazon
created on 2019-03-26

Human 99.8
Person 99.8
Person 99.1
Person 97.6
Person 97.1
Person 96.8
People 93.7
Person 91.3
Crowd 89
Person 84.3
Clothing 83.9
Apparel 83.9
Audience 78.2
Person 75.8
Shorts 74.2
Person 72.3
Person 66.6
Person 65.7
Text 65.5
Person 63.1
Female 59.9
Drawing 56.6
Art 56.6
Person 56.2
Person 44.2
Person 43.6

Clarifai
created on 2019-03-26

people 99.8
many 98.7
group together 98
group 97.8
crowd 96
man 95.1
adult 94.5
military 88.8
war 87.9
uniform 86.1
cavalry 82.3
monochrome 82
child 80.4
wear 80.1
vehicle 80
soldier 79.8
music 79.8
outfit 76.8
art 75.5
woman 74.5

Imagga
created on 2019-03-26

freight car 45.6
car 35.9
wheeled vehicle 29.7
vehicle 22.6
sky 17.8
black 17.4
graffito 16.1
grunge 15.3
landscape 14.9
old 14.6
decoration 14.5
speedway 14.3
structure 14
snow 12.9
racetrack 11.4
conveyance 10.7
blackboard 10.5
art 10.3
winter 10.2
architecture 10.1
travel 9.9
scene 9.5
water 9.3
tree 9.2
city 9.1
retro 9
design 9
antique 8.8
sea 8.6
ocean 8.3
course 8.3
vintage 8.3
aged 8.1
coast 8.1
tower 8.1
stone 8
trees 8
wall 8
night 8
shoe 8
ancient 7.8
ice 7.8
cloud 7.7
cold 7.7
texture 7.6
panorama 7.6
pattern 7.5
tourism 7.4
style 7.4
light 7.3
history 7.2
sand 7.1
scenic 7

Google
created on 2019-03-26

Microsoft
created on 2019-03-26

outdoor 91.8
group 76.3
black 75.9
posing 68.7
team 65.6
white 64.1
old 53.5
crowd 35.2
person 35.2
black and white 33.9
monochrome 20
rugby 17.4

Color Analysis

Face analysis

Amazon

AWS Rekognition

Age 26-43
Gender Male, 53.7%
Calm 51.7%
Disgusted 45.3%
Sad 46%
Confused 45.5%
Happy 45.1%
Surprised 45.2%
Angry 46.2%

AWS Rekognition

Age 26-43
Gender Female, 53.4%
Angry 45.3%
Disgusted 45.1%
Calm 48.3%
Sad 50.5%
Surprised 45.1%
Confused 45.2%
Happy 45.4%

AWS Rekognition

Age 35-53
Gender Female, 50.9%
Sad 46.6%
Angry 45.3%
Happy 52.3%
Disgusted 45.2%
Surprised 45.4%
Confused 45.2%
Calm 45.1%

AWS Rekognition

Age 26-43
Gender Female, 50.6%
Confused 45.5%
Angry 46.3%
Surprised 45.7%
Happy 45.4%
Calm 46%
Disgusted 46%
Sad 50.1%

AWS Rekognition

Age 35-52
Gender Male, 54.4%
Sad 47.2%
Disgusted 45.1%
Happy 45.1%
Angry 45.4%
Confused 45.6%
Calm 51.4%
Surprised 45.2%

AWS Rekognition

Age 35-52
Gender Male, 54.8%
Disgusted 45.1%
Surprised 45.5%
Confused 51.8%
Calm 45.4%
Happy 45.1%
Angry 45.6%
Sad 46.4%

AWS Rekognition

Age 26-43
Gender Male, 54.8%
Confused 45.3%
Happy 47.1%
Sad 45.2%
Surprised 45.3%
Angry 45.2%
Disgusted 45.1%
Calm 51.8%

AWS Rekognition

Age 11-18
Gender Female, 53.3%
Disgusted 45.2%
Angry 45.3%
Sad 46.7%
Happy 45.2%
Calm 51.9%
Confused 45.5%
Surprised 45.3%

AWS Rekognition

Age 11-18
Gender Female, 50%
Angry 49.6%
Happy 49.5%
Disgusted 49.7%
Surprised 49.6%
Calm 49.7%
Sad 49.8%
Confused 49.6%

AWS Rekognition

Age 20-38
Gender Male, 50.4%
Disgusted 47.4%
Happy 45.4%
Surprised 45.8%
Angry 45.7%
Sad 48%
Confused 45.9%
Calm 46.7%

AWS Rekognition

Age 38-57
Gender Female, 54%
Sad 49.5%
Surprised 45.8%
Angry 46.1%
Disgusted 46.1%
Confused 45.8%
Calm 45.6%
Happy 46%

AWS Rekognition

Age 23-38
Gender Female, 50%
Disgusted 45.7%
Sad 46.2%
Surprised 48%
Calm 45.7%
Happy 47.4%
Confused 45.6%
Angry 46.4%

AWS Rekognition

Age 35-53
Gender Male, 55%
Angry 46.2%
Calm 47.8%
Confused 48.3%
Disgusted 45.4%
Surprised 45.6%
Sad 46.4%
Happy 45.3%

AWS Rekognition

Age 9-14
Gender Female, 50.2%
Calm 49.6%
Happy 49.6%
Angry 49.6%
Disgusted 49.8%
Confused 49.7%
Sad 49.6%
Surprised 49.6%

AWS Rekognition

Age 6-13
Gender Male, 53.7%
Angry 45.3%
Happy 45.1%
Sad 51.6%
Confused 46.4%
Disgusted 45.2%
Surprised 45.2%
Calm 46.3%

AWS Rekognition

Age 10-15
Gender Female, 50.2%
Sad 49.6%
Disgusted 49.9%
Happy 49.5%
Calm 49.8%
Angry 49.6%
Confused 49.6%
Surprised 49.5%

AWS Rekognition

Age 20-38
Gender Male, 50.3%
Angry 49.6%
Happy 49.5%
Disgusted 49.6%
Sad 49.9%
Calm 49.8%
Confused 49.6%
Surprised 49.6%

AWS Rekognition

Age 19-36
Gender Male, 50.1%
Sad 49.8%
Disgusted 49.7%
Happy 49.5%
Angry 49.6%
Confused 49.6%
Calm 49.8%
Surprised 49.6%

AWS Rekognition

Age 26-43
Gender Male, 53.5%
Happy 45.6%
Calm 46.5%
Sad 49.2%
Angry 46.4%
Confused 46.1%
Surprised 45.5%
Disgusted 45.7%

AWS Rekognition

Age 35-52
Gender Female, 50%
Happy 49.5%
Calm 50.2%
Sad 49.6%
Angry 49.5%
Surprised 49.5%
Disgusted 49.5%
Confused 49.5%

AWS Rekognition

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

AWS Rekognition

Age 26-43
Gender Female, 51.1%
Surprised 45.5%
Disgusted 45.6%
Angry 45.7%
Calm 50.6%
Sad 45.8%
Happy 46.2%
Confused 45.7%

AWS Rekognition

Age 19-36
Gender Female, 50.2%
Confused 49.6%
Surprised 49.6%
Sad 49.6%
Disgusted 49.6%
Happy 49.6%
Calm 49.9%
Angry 49.6%

AWS Rekognition

Age 4-7
Gender Female, 50%
Disgusted 49.6%
Sad 49.7%
Angry 49.5%
Happy 49.5%
Calm 50.1%
Confused 49.6%
Surprised 49.5%

Feature analysis

Amazon

Person 99.8%

Categories

Text analysis

Amazon

KODEK
LETA-