Human Generated Data

Title

Untitled (two rows of women in matching dresses and hats, with flowers, outside)
Date

c. 1945
People

Artist: Paul Gittings, American 1900 - 1988
Classification

Photographs
Credit Line

Harvard Art Museums/Fogg Museum, Transfer from the Carpenter Center for the Visual Arts, American Professional Photographers Collection, 4.2002.12659

Human Generated Data

Title

Untitled (two rows of women in matching dresses and hats, with flowers, outside)

People

Artist: Paul Gittings, American 1900 - 1988

Date

c. 1945

Classification

Photographs

Credit Line

Harvard Art Museums/Fogg Museum, Transfer from the Carpenter Center for the Visual Arts, American Professional Photographers Collection, 4.2002.12659

Machine Generated Data

Tags

Amazon
created on 2022-02-04

Art 90.3
Person 90.1
Human 90.1
Painting 89.2
Person 75.4
Person 71.6
Person 71.3
People 69.5
Person 63.5
Person 56
Person 50.3
Person 44.7

Clarifai
created on 2023-10-28

people 98.1
many 92.5
wear 91.8
desktop 87.7
stone 87.1
wall 87.1
group 86.5
old 85.8
blank 85.1
adult 85.1
monochrome 84
vintage 83.2
margin 82.3
building 79.9
texture 79.1
art 79.1
retro 78.8
antique 75.1
education 74.2
no person 74.1

Imagga
created on 2022-02-04

grunge 50.2
tunnel 46.8
old 43.9
texture 41
vintage 38
wall 37.9
passageway 37.7
antique 35.5
aged 32.6
dirty 31.6
rough 30.1
retro 29.5
passage 28.1
pattern 26.7
decoration 26.2
weathered 25.6
graffito 25.1
damaged 23.8
structure 23.8
wallpaper 23.7
ancient 23.3
textured 22.8
rusty 21.9
grungy 21.8
frame 21.6
material 20.5
paper 20.4
design 19.1
paint 19
rust 18.3
way 18.1
border 18.1
art 17.7
surface 17.6
text 17.5
stain 17.3
aging 17.3
doormat 16.8
backdrop 16.5
messy 16.4
empty 16.3
space 15.5
worn 15.3
canvas 15.2
backgrounds 14.6
color 14.5
track 14.4
stone 14.1
brown 14
black 13.8
parchment 13.4
old fashioned 13.3
mat 13.3
blank 12.9
close 12.6
decay 12.5
stained 12.5
obsolete 12.5
yellow 11.9
graphic 11.7
dirt 11.5
fence 11
stains 10.7
crack 10.7
torn 10.6
fountain 10.5
detail 10.5
architecture 10.2
grain 10.1
floor cover 10.1
ragged 9.7
spot 9.6
concrete 9.6
dark 9.2
scratch 8.8
fracture 8.8
cracked 8.7
crumpled 8.7
urban 8.7
rock 8.7
artistic 8.7
cardboard 8.6
sheet 8.5
page 8.3
landscape 8.2
covering 8.2
building 7.9
faded 7.8
cement 7.8
burnt 7.8
outdoors 7.5
document 7.4
letter 7.3
snow 7.3
barrier 7.2
tree 7.1
steel 7.1

Google
created on 2022-02-04

Rectangle 88.6
Font 81.9
Art 80.5
Adaptation 79.2
Tints and shades 76
Pattern 73
Monochrome photography 72.9
Monochrome 72.3
Painting 70.4
Visual arts 68.7
History 62.3
Printmaking 62.3
Paper product 62
Drawing 56.6
Landscape 54.1
Still life photography 53.8
Grass 52.4
Symmetry 52.2

Microsoft
created on 2022-02-04

text 94.9
water 86.7
black and white 73.9
white 62.3
picture frame 9.2

Color Analysis

Face analysis

Amazon

AWS Rekognition

Age 34-42
Gender Male, 99.1%
Happy 77.3%
Sad 18.5%
Fear 1.5%
Surprised 0.9%
Angry 0.5%
Calm 0.5%
Disgusted 0.5%
Confused 0.3%

AWS Rekognition

Age 30-40
Gender Male, 99.9%
Happy 92.1%
Calm 2.2%
Surprised 2.2%
Fear 1.3%
Angry 1%
Sad 0.8%
Disgusted 0.3%
Confused 0.1%

AWS Rekognition

Age 16-22
Gender Male, 99.5%
Fear 53.4%
Sad 14.2%
Calm 13.6%
Happy 5.8%
Surprised 5.6%
Disgusted 2.9%
Angry 2.7%
Confused 1.8%

AWS Rekognition

Age 20-28
Gender Male, 96%
Happy 57.3%
Calm 13.8%
Surprised 10.8%
Sad 6.4%
Fear 6.1%
Angry 3.7%
Confused 1%
Disgusted 0.9%

AWS Rekognition

Age 36-44
Gender Male, 99.6%
Happy 99.9%
Disgusted 0.1%
Calm 0%
Surprised 0%
Sad 0%
Fear 0%
Angry 0%
Confused 0%

AWS Rekognition

Age 49-57
Gender Male, 98.9%
Happy 59.1%
Calm 14.3%
Fear 9.6%
Surprised 4.8%
Angry 4.1%
Disgusted 4.1%
Sad 2.7%
Confused 1.3%

AWS Rekognition

Age 29-39
Gender Male, 99.7%
Happy 43.7%
Fear 29.7%
Sad 10.6%
Calm 4.6%
Angry 3.9%
Surprised 3.7%
Confused 2%
Disgusted 1.9%

AWS Rekognition

Age 40-48
Gender Male, 95.5%
Happy 38.6%
Fear 19.3%
Confused 8.8%
Sad 8.6%
Calm 8.3%
Surprised 7.5%
Angry 4.5%
Disgusted 4.3%

AWS Rekognition

Age 16-22
Gender Female, 50.7%
Happy 65.4%
Calm 31.5%
Fear 1%
Confused 0.5%
Sad 0.5%
Disgusted 0.4%
Surprised 0.4%
Angry 0.3%

AWS Rekognition

Age 42-50
Gender Male, 95.8%
Happy 90.5%
Calm 5%
Sad 3.2%
Surprised 0.4%
Fear 0.3%
Disgusted 0.2%
Confused 0.2%
Angry 0.2%

AWS Rekognition

Age 47-53
Gender Male, 99%
Happy 98.5%
Sad 0.7%
Calm 0.3%
Surprised 0.1%
Fear 0.1%
Angry 0.1%
Disgusted 0.1%
Confused 0.1%

AWS Rekognition

Age 38-46
Gender Male, 75.2%
Happy 87.9%
Sad 4.1%
Fear 3.4%
Angry 1.8%
Calm 1.6%
Surprised 0.5%
Disgusted 0.4%
Confused 0.3%

AWS Rekognition

Age 18-24
Gender Male, 99.6%
Happy 64.4%
Calm 25%
Sad 4.6%
Fear 2%
Surprised 1.7%
Confused 1.1%
Disgusted 0.7%
Angry 0.6%

AWS Rekognition

Age 24-34
Gender Male, 99.7%
Happy 56.5%
Calm 20.3%
Sad 8.9%
Surprised 5%
Fear 4.8%
Angry 3.3%
Disgusted 0.9%
Confused 0.4%

AWS Rekognition

Age 42-50
Gender Male, 95.3%
Happy 97.3%
Sad 0.9%
Calm 0.6%
Confused 0.4%
Surprised 0.3%
Angry 0.2%
Disgusted 0.1%
Fear 0.1%

AWS Rekognition

Age 29-39
Gender Male, 99.9%
Happy 98.7%
Calm 0.7%
Angry 0.1%
Surprised 0.1%
Fear 0.1%
Sad 0.1%
Disgusted 0.1%
Confused 0.1%

AWS Rekognition

Age 18-24
Gender Female, 61.2%
Happy 96.9%
Fear 1.2%
Sad 0.8%
Surprised 0.5%
Angry 0.2%
Calm 0.2%
Disgusted 0.2%
Confused 0.1%

AWS Rekognition

Age 28-38
Gender Male, 96.1%
Happy 81.8%
Calm 15%
Sad 1.1%
Surprised 0.7%
Fear 0.6%
Angry 0.4%
Disgusted 0.4%
Confused 0.1%

AWS Rekognition

Age 21-29
Gender Male, 96.5%
Calm 90.7%
Sad 3.2%
Happy 1.8%
Surprised 1.4%
Angry 0.9%
Fear 0.8%
Disgusted 0.6%
Confused 0.6%

AWS Rekognition

Age 26-36
Gender Male, 98.1%
Happy 87%
Calm 7%
Sad 1.9%
Angry 1.5%
Surprised 1.4%
Fear 0.6%
Disgusted 0.4%
Confused 0.2%

AWS Rekognition

Age 30-40
Gender Male, 99.5%
Happy 46.3%
Calm 30%
Sad 8.7%
Confused 7.9%
Fear 2.8%
Disgusted 1.7%
Surprised 1.3%
Angry 1.3%

AWS Rekognition

Age 29-39
Gender Male, 94.6%
Happy 44.8%
Calm 29.1%
Fear 7%
Surprised 6.9%
Sad 5.8%
Angry 2.6%
Disgusted 2.6%
Confused 1.2%

AWS Rekognition

Age 23-31
Gender Male, 95.3%
Calm 45.1%
Happy 39.8%
Sad 4%
Angry 3.9%
Fear 3.8%
Surprised 1.2%
Disgusted 1.1%
Confused 0.9%

AWS Rekognition

Age 54-62
Gender Female, 84.2%
Happy 99.6%
Sad 0.2%
Calm 0.1%
Angry 0.1%
Disgusted 0%
Surprised 0%
Fear 0%
Confused 0%

AWS Rekognition

Age 18-26
Gender Male, 97.7%
Sad 69.5%
Calm 25.5%
Confused 1.6%
Surprised 1.3%
Happy 0.8%
Fear 0.5%
Disgusted 0.5%
Angry 0.4%

AWS Rekognition

Age 23-33
Gender Male, 88.5%
Happy 95.9%
Calm 2.9%
Sad 0.7%
Surprised 0.2%
Angry 0.1%
Fear 0.1%
Disgusted 0.1%
Confused 0%

AWS Rekognition

Age 24-34
Gender Male, 99.3%
Happy 66.9%
Calm 30.6%
Sad 0.8%
Angry 0.7%
Surprised 0.5%
Fear 0.2%
Disgusted 0.1%
Confused 0.1%

AWS Rekognition

Age 23-33
Gender Male, 90.3%
Happy 24.9%
Surprised 24.7%
Fear 20%
Calm 16.1%
Sad 7.5%
Angry 3.1%
Disgusted 2.2%
Confused 1.5%

AWS Rekognition

Age 33-41
Gender Male, 97.6%
Happy 85.5%
Calm 14.1%
Disgusted 0.1%
Surprised 0.1%
Confused 0.1%
Sad 0.1%
Angry 0.1%
Fear 0%

AWS Rekognition

Age 28-38
Gender Male, 53.4%
Happy 99.3%
Calm 0.2%
Surprised 0.1%
Angry 0.1%
Sad 0.1%
Disgusted 0.1%
Fear 0%
Confused 0%

AWS Rekognition

Age 45-51
Gender Male, 67.5%
Happy 99.4%
Calm 0.3%
Sad 0.1%
Surprised 0.1%
Fear 0.1%
Angry 0%
Confused 0%
Disgusted 0%

Feature analysis

Amazon

Person
Person 90.1%
Person 75.4%
Person 71.6%
Person 71.3%
Person 63.5%
Person 56%
Person 50.3%
Person 44.7%

Text analysis

Amazon

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