Human Generated Data

Title

Untitled (large group posed in semi-circle outdoors)
Date

1932
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, 4.2002.3952

Human Generated Data

Title

Untitled (large group posed in semi-circle outdoors)

People

Artist: Durette Studio, American 20th century

Date

1932

Classification

Photographs

Credit Line

Harvard Art Museums/Fogg Museum, Transfer from the Carpenter Center for the Visual Arts, American Professional Photographers Collection, 4.2002.3952

Machine Generated Data

Tags

Amazon
created on 2019-06-01

Human 98.5
Person 98.5
Person 96.1
Person 95.5
Person 93.8
Wall 90.4
Person 89.5
Person 88.5
Person 85.4
Graffiti 79.7
Person 79.7
Person 76.6
Plant 76.3
Person 75.3
Tree 73.8
Outdoors 72.6
Text 69.7
Art 64.8
Person 62.5
Grass 61.5
Photo 60.3
Photography 60.3
Portrait 60.3
Face 60.3
Mural 59.8
Painting 59.8
Clothing 59.8
Apparel 59.8
Tarmac 59.5
Asphalt 59.5
Nature 56.2
Person 53.5

Clarifai
created on 2019-06-01

people 97.7
group 95.8
many 94.6
no person 92.8
retro 92
adult 89.9
old 89.9
group together 89.8
wear 89.6
sepia 89.3
cavalry 88.9
vintage 88.8
man 88.1
empty 86.1
military 85.8
art 85.7
war 84
monochrome 83.2
antique 81.9
vehicle 79.2

Imagga
created on 2019-06-01

graffito 78.7
grunge 54.6
decoration 53.3
negative 48.2
old 41.2
texture 40.3
film 40.2
vintage 38.1
antique 37.3
wall 35.2
rough 31
aged 30.8
grungy 28.5
frame 27.5
pattern 26.7
retro 26.3
snow 26
photographic paper 25.2
paper 24.3
textured 23.7
dirty 22.6
weathered 21.9
border 21.7
picket fence 21.3
paint 20.9
ancient 20.8
material 20.6
structure 20.3
space 20.2
damaged 20.1
design 19.7
blank 18.9
black 18.1
canvas 18
fence 17.8
art 17.6
text 17.5
artistic 17.4
empty 17.2
brown 17
wallpaper 16.9
photographic equipment 16.8
parchment 16.3
winter 15.3
torn 14.5
stained 14.4
worn 14.3
old fashioned 14.3
landscape 14.2
surface 14.1
backdrop 14
grain 13.9
messy 13.6
rust 13.5
aging 13.4
rusty 13.4
barrier 13.2
edge 12.5
stain 12.5
graphic 12.4
cold 12.1
burnt 11.7
decay 11.6
tree 11.5
detail 11.3
gray 10.8
collage 10.6
backgrounds 10.6
obsolete 10.6
dirt 10.5
architecture 10.2
decorative 10
trees 9.8
stone 9.7
stains 9.7
crumpled 9.7
close 9.7
forest 9.6
color 9.5
weather 9.4
dark 9.2
wood 9.2
obstruction 8.9
scratched 8.8
grime 8.8
scratch 8.8
frost 8.6
frozen 8.6
industry 8.5
page 8.4
sky 8.3
park 8.2
ice 7.9
noisy 7.9
burned 7.9
noise 7.8
season 7.8
snowy 7.8
spot 7.7
concrete 7.7
textures 7.6
city 7.5
stucco 7.4
entertainment 7.4
historic 7.3
effect 7.3
digital 7.3
road 7.2
scenery 7.2
building 7.2
nobody 7

Google
created on 2019-06-01

Photograph 96.6
Black-and-white 87.2
Snapshot 85.8
Tree 79.9
Stock photography 79.9
Photography 72.5
Room 65.7
Monochrome photography 64.7
Monochrome 64.3
History 60.4
Plant 58.5

Microsoft
created on 2019-06-01

black and white 90.7
outdoor 85.9
drawing 83.4
monochrome 67.2
old 61.4

Color Analysis

Face analysis

Amazon

AWS Rekognition

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

AWS Rekognition

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

AWS Rekognition

Age 26-43
Gender Female, 50.5%
Surprised 49.5%
Sad 49.7%
Happy 49.5%
Angry 49.6%
Disgusted 49.5%
Confused 49.6%
Calm 50.1%

AWS Rekognition

Age 16-27
Gender Female, 50.1%
Angry 49.5%
Disgusted 49.5%
Happy 49.6%
Sad 49.7%
Surprised 49.6%
Calm 50%
Confused 49.6%

AWS Rekognition

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

AWS Rekognition

Age 19-36
Gender Male, 50.2%
Happy 49.5%
Sad 49.5%
Surprised 49.5%
Confused 49.5%
Disgusted 50.3%
Calm 49.6%
Angry 49.5%

AWS Rekognition

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

AWS Rekognition

Age 19-36
Gender Female, 50.4%
Happy 49.7%
Calm 49.7%
Angry 49.5%
Surprised 49.6%
Disgusted 49.7%
Confused 49.5%
Sad 49.6%

AWS Rekognition

Age 26-43
Gender Female, 50.4%
Disgusted 49.7%
Sad 49.6%
Calm 49.8%
Confused 49.6%
Surprised 49.6%
Happy 49.6%
Angry 49.6%

AWS Rekognition

Age 38-57
Gender Female, 50.5%
Sad 49.6%
Angry 49.5%
Disgusted 49.5%
Surprised 49.5%
Happy 49.5%
Calm 50.3%
Confused 49.5%

AWS Rekognition

Age 35-52
Gender Male, 50.1%
Sad 49.7%
Happy 49.6%
Surprised 49.5%
Calm 49.6%
Disgusted 49.9%
Confused 49.5%
Angry 49.5%

AWS Rekognition

Age 20-38
Gender Female, 50.4%
Angry 49.6%
Happy 49.6%
Sad 49.8%
Disgusted 49.6%
Confused 49.7%
Calm 49.7%
Surprised 49.6%

AWS Rekognition

Age 48-68
Gender Female, 50.3%
Disgusted 49.5%
Surprised 49.5%
Angry 49.5%
Confused 49.5%
Sad 50.2%
Calm 49.6%
Happy 49.5%

AWS Rekognition

Age 15-25
Gender Female, 50.5%
Angry 49.5%
Happy 49.7%
Confused 49.6%
Sad 49.8%
Calm 49.7%
Surprised 49.6%
Disgusted 49.6%

AWS Rekognition

Age 27-44
Gender Female, 50.4%
Happy 49.6%
Surprised 49.6%
Calm 50.1%
Sad 49.5%
Disgusted 49.7%
Angry 49.6%
Confused 49.5%

AWS Rekognition

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

AWS Rekognition

Age 35-52
Gender Female, 50.5%
Sad 50.2%
Angry 49.5%
Surprised 49.5%
Calm 49.6%
Disgusted 49.5%
Happy 49.6%
Confused 49.6%

AWS Rekognition

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

AWS Rekognition

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

AWS Rekognition

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

AWS Rekognition

Age 14-23
Gender Female, 50.4%
Confused 49.5%
Calm 49.5%
Sad 50.2%
Surprised 49.5%
Angry 49.6%
Disgusted 49.6%
Happy 49.5%

AWS Rekognition

Age 20-38
Gender Female, 50.5%
Sad 49.5%
Surprised 49.5%
Happy 49.7%
Angry 49.5%
Calm 50.1%
Confused 49.6%
Disgusted 49.5%

AWS Rekognition

Age 15-25
Gender Female, 50.1%
Confused 49.5%
Disgusted 49.7%
Happy 49.7%
Surprised 49.5%
Calm 49.8%
Sad 49.7%
Angry 49.5%

AWS Rekognition

Age 19-36
Gender Male, 50.1%
Disgusted 50.2%
Sad 49.5%
Surprised 49.5%
Happy 49.6%
Angry 49.6%
Calm 49.5%
Confused 49.5%

AWS Rekognition

Age 16-27
Gender Female, 50.4%
Disgusted 49.6%
Calm 49.6%
Sad 49.8%
Confused 49.5%
Angry 49.6%
Surprised 49.6%
Happy 49.7%

AWS Rekognition

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

AWS Rekognition

Age 19-36
Gender Female, 50.1%
Calm 49.7%
Disgusted 49.5%
Sad 50.2%
Surprised 49.5%
Happy 49.5%
Confused 49.5%
Angry 49.5%

AWS Rekognition

Age 14-23
Gender Male, 50.4%
Angry 49.5%
Happy 49.5%
Confused 49.6%
Calm 49.8%
Surprised 49.6%
Sad 49.9%
Disgusted 49.5%

AWS Rekognition

Age 16-27
Gender Female, 50.2%
Happy 49.5%
Disgusted 49.6%
Angry 49.6%
Surprised 49.5%
Sad 50.2%
Calm 49.5%
Confused 49.5%

AWS Rekognition

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

AWS Rekognition

Age 10-15
Gender Female, 50.4%
Angry 49.6%
Calm 49.9%
Sad 49.7%
Surprised 49.6%
Disgusted 49.6%
Happy 49.7%
Confused 49.6%

AWS Rekognition

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

AWS Rekognition

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

AWS Rekognition

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

AWS Rekognition

Age 35-53
Gender Female, 50.1%
Disgusted 49.6%
Sad 49.8%
Happy 49.6%
Confused 49.6%
Surprised 49.6%
Angry 49.6%
Calm 49.7%

AWS Rekognition

Age 35-53
Gender Male, 50.1%
Confused 49.5%
Surprised 49.5%
Sad 49.6%
Angry 49.5%
Happy 49.5%
Calm 49.5%
Disgusted 50.2%

AWS Rekognition

Age 15-25
Gender Female, 50.5%
Angry 49.5%
Happy 49.9%
Calm 49.8%
Surprised 49.5%
Sad 49.7%
Confused 49.5%
Disgusted 49.5%

AWS Rekognition

Age 20-38
Gender Female, 50.2%
Happy 49.6%
Confused 49.6%
Angry 49.7%
Disgusted 49.9%
Surprised 49.6%
Sad 49.6%
Calm 49.6%

AWS Rekognition

Age 19-36
Gender Female, 50.5%
Surprised 49.5%
Calm 49.7%
Disgusted 49.5%
Confused 49.5%
Sad 50.1%
Happy 49.6%
Angry 49.5%

AWS Rekognition

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

AWS Rekognition

Age 15-25
Gender Female, 50.3%
Confused 49.6%
Calm 49.6%
Sad 50.1%
Surprised 49.6%
Angry 49.6%
Disgusted 49.6%
Happy 49.6%

AWS Rekognition

Age 14-25
Gender Female, 50.5%
Happy 49.8%
Surprised 49.6%
Angry 49.6%
Confused 49.5%
Calm 49.7%
Sad 49.7%
Disgusted 49.6%

AWS Rekognition

Age 30-47
Gender Female, 50.1%
Confused 49.5%
Surprised 49.6%
Sad 49.9%
Angry 49.6%
Happy 49.6%
Calm 49.8%
Disgusted 49.5%

AWS Rekognition

Age 26-43
Gender Female, 50.3%
Disgusted 49.6%
Calm 49.5%
Confused 49.5%
Sad 50%
Surprised 49.5%
Angry 49.7%
Happy 49.6%

AWS Rekognition

Age 23-38
Gender Female, 50.3%
Confused 49.5%
Disgusted 49.5%
Happy 50%
Surprised 49.6%
Calm 49.7%
Sad 49.6%
Angry 49.5%

Feature analysis

Amazon

Person 98.5%

Categories

Imagga

cars vehicles 53.1%
beaches seaside 31.9%
nature landscape 8.9%
paintings art 4.1%

Captions

Microsoft
created on 2019-06-01

an old photo of a building 72.7%
an old photo of a person 58.9%
old photo of a building 58.8%