Human Generated Data

Title

Untitled (Genest Brothers employees outside of bakery)
Date

1937
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, 4.2002.3788

Human Generated Data

Title

Untitled (Genest Brothers employees outside of bakery)

People

Artist: Durette Studio, American 20th century

Date

1937

Classification

Photographs

Credit Line

Harvard Art Museums/Fogg Museum, Transfer from the Carpenter Center for the Visual Arts, American Professional Photographers Collection, 4.2002.3788

Machine Generated Data

Tags

Amazon
created on 2019-06-01

Person 97.7
Human 97.7
Person 97.7
Person 97.3
Person 97.1
Person 96.7
Person 96
Person 95.4
Person 94.9
Person 94.9
Person 94.8
People 94.4
Person 94
Person 89.8
Person 88.6
Person 87.3
Apparel 87.2
Clothing 87.2
Person 86.3
Person 84.2
Family 83.8
Person 82.5
Person 79.2
Person 78.2
Crowd 76.2
Suit 65.8
Coat 65.8
Overcoat 65.8
Person 62.6
Person 60.6
Jury 58.4
Shorts 58.2
Person 46.6

Clarifai
created on 2019-06-01

many 98.5
people 98
group together 97.3
chair 96.8
crowd 96.6
audience 94.2
seat 93.6
group 92.6
administration 92.1
furniture 90.6
man 88.7
leader 87.8
adult 87.1
room 86.7
spectator 86.3
horizontal plane 86
conformity 85.9
house 85.8
row 84.9
monochrome 83.6

Imagga
created on 2019-06-01

balcony 32.5
picket fence 31.8
fence 31.7
building 29.2
snow 26.7
classroom 25.8
structure 25
room 25
architecture 24.3
graffito 24.1
barrier 21.3
old 18.8
decoration 18.4
city 16.6
winter 16.2
trees 16
urban 14.8
travel 14.8
house 14.2
window 14
cold 13.8
scene 13
obstruction 12.9
street 12.9
wall 12.1
home 11.2
grunge 11.1
historic 11
tree 10.8
transportation 10.8
tourism 10.7
light 10
wood 10
outdoor 9.9
park 9.9
history 9.8
door 9.8
night 9.8
landscape 9.7
frost 9.6
residential 9.6
sky 9.6
business 9.1
vintage 9.1
paint 9.1
university 8.7
forest 8.7
antique 8.6
design 8.4
school 8.3
transport 8.2
outdoors 8.2
tourist 8.2
art 8
rural 7.9
black 7.8
residence 7.8
space 7.8
construction 7.7
frame 7.5
retro 7.4
people 7.2
color 7.2
scenery 7.2
bank 7.2
drawing 7.1
shop 7
season 7

Google
created on 2019-06-01

Photograph 97.2
Snapshot 84.3
Stock photography 68.5
Photography 67.8
Room 65.7
Team 64.1
Monochrome 60.1
Black-and-white 56.4
State school 52.6
Style 51

Microsoft
created on 2019-06-01

person 87.5
white 64.4
clothing 55.8

Color Analysis

Face analysis

Amazon

AWS Rekognition

Age 14-25
Gender Male, 50.5%
Happy 49.5%
Calm 49.6%
Angry 49.5%
Surprised 49.5%
Disgusted 50.2%
Confused 49.5%
Sad 49.6%

AWS Rekognition

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

AWS Rekognition

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

AWS Rekognition

Age 35-52
Gender Female, 50.2%
Happy 49.6%
Disgusted 49.6%
Angry 49.7%
Calm 49.6%
Surprised 49.6%
Confused 49.5%
Sad 49.9%

AWS Rekognition

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

AWS Rekognition

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

AWS Rekognition

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

AWS Rekognition

Age 16-27
Gender Female, 50.3%
Sad 50.4%
Happy 49.5%
Surprised 49.5%
Calm 49.6%
Disgusted 49.5%
Confused 49.5%
Angry 49.5%

AWS Rekognition

Age 23-38
Gender Female, 50.4%
Confused 49.5%
Disgusted 49.5%
Calm 49.6%
Angry 49.5%
Sad 50.2%
Happy 49.5%
Surprised 49.5%

AWS Rekognition

Age 20-38
Gender Female, 50%
Disgusted 49.6%
Calm 50%
Angry 49.6%
Sad 49.8%
Happy 49.5%
Surprised 49.5%
Confused 49.6%

AWS Rekognition

Age 26-44
Gender Female, 50.4%
Angry 49.6%
Sad 49.6%
Happy 49.5%
Confused 49.6%
Surprised 49.6%
Calm 49.9%
Disgusted 49.7%

AWS Rekognition

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

AWS Rekognition

Age 19-36
Gender Female, 50.3%
Confused 49.6%
Surprised 49.6%
Angry 49.6%
Calm 49.6%
Disgusted 49.6%
Sad 49.6%
Happy 50%

AWS Rekognition

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

AWS Rekognition

Age 35-52
Gender Female, 50.1%
Disgusted 49.7%
Calm 50%
Surprised 49.6%
Angry 49.6%
Happy 49.6%
Sad 49.6%
Confused 49.6%

AWS Rekognition

Age 23-38
Gender Female, 50.5%
Surprised 49.5%
Confused 49.5%
Disgusted 49.6%
Happy 49.6%
Sad 49.6%
Calm 50.2%
Angry 49.6%

AWS Rekognition

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

AWS Rekognition

Age 26-43
Gender Female, 50.2%
Happy 49.5%
Confused 49.7%
Angry 49.7%
Sad 49.9%
Calm 49.6%
Surprised 49.6%
Disgusted 49.5%

AWS Rekognition

Age 26-43
Gender Male, 50.5%
Disgusted 49.5%
Calm 49.6%
Confused 49.8%
Sad 49.9%
Surprised 49.6%
Angry 49.6%
Happy 49.5%

AWS Rekognition

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

AWS Rekognition

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

AWS Rekognition

Age 16-27
Gender Male, 50.4%
Angry 49.5%
Happy 49.5%
Sad 49.8%
Disgusted 49.5%
Confused 49.6%
Calm 49.9%
Surprised 49.6%

AWS Rekognition

Age 26-43
Gender Male, 50.4%
Confused 49.5%
Happy 49.5%
Calm 49.5%
Disgusted 50%
Sad 49.8%
Angry 49.5%
Surprised 49.5%

AWS Rekognition

Age 35-53
Gender Female, 50.1%
Disgusted 49.9%
Sad 49.6%
Happy 49.7%
Surprised 49.6%
Calm 49.6%
Angry 49.6%
Confused 49.6%

AWS Rekognition

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

AWS Rekognition

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

AWS Rekognition

Age 26-44
Gender Female, 50.2%
Disgusted 49.6%
Confused 49.5%
Surprised 49.6%
Calm 49.9%
Happy 49.7%
Angry 49.7%
Sad 49.6%

AWS Rekognition

Age 23-38
Gender Female, 50.1%
Angry 49.5%
Sad 49.7%
Disgusted 49.5%
Surprised 49.6%
Happy 49.5%
Calm 50%
Confused 49.6%

AWS Rekognition

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

AWS Rekognition

Age 4-9
Gender Female, 50.4%
Disgusted 49.5%
Calm 50%
Surprised 49.5%
Angry 49.5%
Happy 49.6%
Sad 49.7%
Confused 49.6%

AWS Rekognition

Age 45-63
Gender Female, 50.2%
Happy 49.5%
Disgusted 50.3%
Angry 49.5%
Calm 49.6%
Sad 49.6%
Confused 49.5%
Surprised 49.5%

AWS Rekognition

Age 16-27
Gender Female, 50.5%
Angry 49.6%
Sad 49.9%
Happy 49.6%
Calm 49.7%
Confused 49.6%
Disgusted 49.6%
Surprised 49.5%

AWS Rekognition

Age 14-25
Gender Male, 50.1%
Sad 50.3%
Surprised 49.5%
Happy 49.5%
Angry 49.6%
Calm 49.5%
Confused 49.5%
Disgusted 49.5%

AWS Rekognition

Age 26-44
Gender Female, 50.4%
Surprised 49.5%
Happy 50%
Disgusted 49.5%
Calm 49.6%
Sad 49.7%
Confused 49.5%
Angry 49.6%

Feature analysis

Amazon

Person 97.7%

Categories

Imagga

interior objects 100%

Text analysis

Amazon

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