Human Generated Data

Title

Untitled (rephotographed vintage group portrait of classroom and teachers outside schoolhouse)
Date

1960
People

Artist: Claseman 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, 4.2002.11040

Human Generated Data

Title

Untitled (rephotographed vintage group portrait of classroom and teachers outside schoolhouse)

People

Artist: Claseman Studio, American 20th century

Date

1960

Classification

Photographs

Credit Line

Harvard Art Museums/Fogg Museum, Transfer from the Carpenter Center for the Visual Arts, American Professional Photographers Collection, 4.2002.11040

Machine Generated Data

Tags

Amazon
created on 2019-03-25

Human 99.4
Person 99.4
Person 98.8
Person 98.2
Person 98.1
Person 97.9
Person 97.9
Person 97.4
Person 96.1
Person 95.1
Person 92
Person 91.4
Person 89.9
Person 87.8
Housing 85.9
Building 85.9
Person 84.1
Apparel 83.4
Clothing 83.4
Person 78.9
Nature 78.2
Outdoors 76.8
Stage 76.7
People 75.9
Sleeve 70.9
Person 69.6
House 66.9
Long Sleeve 63.3
Person 62.1
Countryside 61
Person 49

Clarifai
created on 2019-03-25

people 99
adult 96.2
group 95.5
many 93.8
wear 93.7
woman 92.7
man 91.1
museum 83.7
education 82.8
family 82.2
image 82.2
child 81.2
group together 80.7
monochrome 80.2
business 80
exhibition 77.7
desktop 76
music 75.4
room 75
home 74.7

Imagga
created on 2019-03-25

picket fence 34.7
fence 31
architecture 24.5
night 24
television 22.7
barrier 21.9
structure 21.3
building 21.3
old 20.9
city 20.8
house 18.2
travel 15.5
history 15.2
obstruction 14
tourism 14
window 13.1
wall 12.6
facade 12.6
dark 12.5
light 12
historic 11.9
sky 11.5
black 11.4
urban 11.4
scene 11.2
construction 11.1
street 11
religion 10.7
vintage 10.7
telecommunication system 10.3
tourist 10
landmark 9.9
antique 9.7
roof 9.5
grunge 9.4
evening 9.3
film 9.3
church 9.2
texture 9
art 8.9
pattern 8.9
home 8.8
barn 8.7
famous 8.4
lights 8.3
silhouette 8.3
broadcasting 8.2
retro 8.2
dirty 8.1
frame 7.8
people 7.8
ancient 7.8
negative 7.8
district 7.8
collage 7.7
culture 7.7
winter 7.7
outdoor 7.6
damaged 7.6
capital 7.6
grungy 7.6
buildings 7.6
brick 7.5
wood 7.5
sunrise 7.5
monitor 7.5
landscape 7.4
exterior 7.4
graphic 7.3
rough 7.3
holiday 7.2
material 7.1
scenic 7

Google
created on 2019-03-25

Photograph 97
Snapshot 84.1
Picture frame 77.7
Photography 70.6
Painting 69.3
House 68.3
Room 65.7
Photographic paper 61.2
Stock photography 59.4
Black-and-white 56.4
Art 50.2

Microsoft
created on 2019-03-25

black 74.9
white 63.7
old 48.8
room 48.1
picture frame 8.6
black and white 8.6
monochrome 8
person 7.6
house 6.2
museum 5.2

Color Analysis

Face analysis

Amazon

AWS Rekognition

Age 26-43
Gender Female, 50.2%
Confused 49.5%
Angry 49.5%
Surprised 49.5%
Sad 50.1%
Happy 49.5%
Calm 49.8%
Disgusted 49.6%

AWS Rekognition

Age 17-27
Gender Male, 50.4%
Disgusted 49.5%
Surprised 49.5%
Sad 49.7%
Confused 49.5%
Angry 49.5%
Happy 49.5%
Calm 50.2%

AWS Rekognition

Age 23-38
Gender Male, 50%
Sad 49.6%
Calm 50.2%
Happy 49.6%
Surprised 49.5%
Angry 49.6%
Disgusted 49.5%
Confused 49.5%

AWS Rekognition

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

AWS Rekognition

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

AWS Rekognition

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

AWS Rekognition

Age 11-18
Gender Female, 50.2%
Happy 49.9%
Calm 49.7%
Sad 49.6%
Angry 49.6%
Surprised 49.6%
Disgusted 49.6%
Confused 49.5%

AWS Rekognition

Age 30-47
Gender Male, 50.5%
Happy 50%
Confused 49.5%
Disgusted 49.5%
Angry 49.5%
Calm 49.7%
Surprised 49.5%
Sad 49.6%

AWS Rekognition

Age 48-68
Gender Female, 50%
Happy 49.5%
Disgusted 49.5%
Calm 49.6%
Sad 50.1%
Surprised 49.5%
Confused 49.6%
Angry 49.6%

AWS Rekognition

Age 27-44
Gender Female, 50.3%
Happy 49.7%
Calm 49.5%
Angry 49.6%
Disgusted 49.5%
Confused 49.5%
Surprised 49.5%
Sad 50.1%

AWS Rekognition

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

AWS Rekognition

Age 35-52
Gender Female, 50.2%
Surprised 49.5%
Confused 49.5%
Calm 50.1%
Disgusted 49.6%
Angry 49.6%
Happy 49.6%
Sad 49.6%

AWS Rekognition

Age 14-25
Gender Male, 50.5%
Calm 50.2%
Happy 49.5%
Confused 49.5%
Disgusted 49.5%
Sad 49.7%
Surprised 49.5%
Angry 49.6%

AWS Rekognition

Age 12-22
Gender Female, 50%
Surprised 49.5%
Angry 49.5%
Disgusted 49.5%
Happy 49.5%
Sad 50.4%
Confused 49.5%
Calm 49.5%

AWS Rekognition

Age 48-68
Gender Female, 50.4%
Surprised 49.6%
Happy 50%
Calm 49.6%
Sad 49.7%
Angry 49.6%
Disgusted 49.6%
Confused 49.5%

AWS Rekognition

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

AWS Rekognition

Age 35-52
Gender Female, 50.3%
Angry 49.6%
Disgusted 49.7%
Sad 49.9%
Surprised 49.6%
Happy 49.5%
Calm 49.8%
Confused 49.5%

AWS Rekognition

Age 23-38
Gender Male, 50.3%
Sad 49.5%
Calm 49.6%
Disgusted 50.3%
Happy 49.5%
Angry 49.5%
Surprised 49.5%
Confused 49.5%

AWS Rekognition

Age 26-43
Gender Female, 50.2%
Happy 49.5%
Disgusted 49.5%
Calm 50.4%
Surprised 49.5%
Confused 49.5%
Angry 49.5%
Sad 49.5%

AWS Rekognition

Age 27-44
Gender Female, 50.4%
Sad 50.3%
Happy 49.5%
Confused 49.5%
Surprised 49.5%
Disgusted 49.6%
Calm 49.6%
Angry 49.5%

AWS Rekognition

Age 35-52
Gender Female, 50.2%
Happy 49.6%
Sad 50%
Angry 49.6%
Disgusted 49.5%
Surprised 49.5%
Calm 49.7%
Confused 49.5%

AWS Rekognition

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

AWS Rekognition

Age 48-68
Gender Male, 50.4%
Calm 49.7%
Sad 50.2%
Disgusted 49.5%
Happy 49.5%
Confused 49.5%
Angry 49.5%
Surprised 49.5%

AWS Rekognition

Age 45-66
Gender Female, 50.1%
Happy 49.5%
Disgusted 49.5%
Calm 49.7%
Sad 50.2%
Surprised 49.5%
Confused 49.5%
Angry 49.5%

AWS Rekognition

Age 4-9
Gender Male, 50.5%
Confused 49.5%
Angry 49.6%
Surprised 49.5%
Disgusted 49.5%
Calm 49.7%
Happy 49.6%
Sad 50.2%

AWS Rekognition

Age 45-63
Gender Female, 50.1%
Calm 50.1%
Sad 49.7%
Surprised 49.5%
Confused 49.5%
Happy 49.5%
Angry 49.6%
Disgusted 49.5%

AWS Rekognition

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

Feature analysis

Amazon

Person 99.4%

Categories

Imagga

paintings art 75.7%
streetview architecture 13.2%
interior objects 6.2%
text visuals 2.7%

Text analysis

Amazon

-YT33A2
XAGOX
M1-YT -YT33A2 XAGOX
M1-YT