Human Generated Data

Title

Group stereoscopic portrait
Date

c. 1851-c. 1861
People

Artist: Unidentified Artist,

Classification

Photographs
Credit Line

Harvard Art Museums/Fogg Museum, Gift of Professor and Mrs. John Coolidge, P1979.114

Human Generated Data

Title

Group stereoscopic portrait

People

Artist: Unidentified Artist,

Date

c. 1851-c. 1861

Classification

Photographs

Credit Line

Harvard Art Museums/Fogg Museum, Gift of Professor and Mrs. John Coolidge, P1979.114

Machine Generated Data

Tags

Amazon
created on 2022-01-22

Painting 92.7
Art 92.7
Outdoors 84
Nature 83.5
Meal 72.2
Food 72.2
Vehicle 69.3
Transportation 69.3
Porch 58.9
Spoke 55.7
Machine 55.7

Clarifai
created on 2023-10-26

vintage 99.7
sepia 99.6
people 99.4
sepia pigment 99
old 98.6
art 98.5
retro 98.2
antique 98.1
documentary 97.1
memory 95.8
nostalgic 95.5
wear 94.4
scan 94.2
paper 94.1
man 94
painting 92.6
street 92.1
group 91.4
nostalgia 91.1
portrait 88

Imagga
created on 2022-01-22

grunge 47.7
antique 45.3
old 43.9
vintage 43.1
aged 36.2
texture 36.1
paper 35.3
retro 35.2
ancient 34.6
structure 24.2
art 23.5
frame 23.4
tile 23.3
material 23.2
wall 23.2
pattern 21.9
decay 20.2
freight car 20.1
damaged 20
grungy 19.9
grain 19.4
brown 19.1
grime 18.5
border 18.1
design 18
architecture 17.5
dirty 17.2
wallpaper 16.8
graphic 16.8
fracture 16.5
mottled 15.6
empty 15.5
worn 15.3
textures 15.2
car 15
building 14.6
old fashioned 14.3
text 14
historic 13.7
crumpled 13.6
stain 13.4
parchment 13.4
page 13
blank 12.8
detailed 12.5
space 12.4
wheeled vehicle 12.4
tray 12.1
style 11.9
crack 11.6
aging 11.5
obsolete 11.5
textured 11.4
artistic 11.3
travel 11.3
decoration 11.1
floral 11.1
edge 10.6
backgrounds 10.5
rusty 10.5
canvas 10.4
graffito 10.4
container 10.3
house 10.1
painterly 9.9
history 9.8
receptacle 9.8
ragged 9.7
stains 9.7
faded 9.7
stucco 9.7
blackboard 9.4
sheet 9.4
leaf 9.3
flower 9.2
decorative 9.2
screen 9.1
tracery 9
smudged 8.9
burst 8.8
album 8.8
succulent 8.7
sepia 8.7
torn 8.7
spot 8.6
business 8.5
plants 8.3
element 8.3
effect 8.2
rough 8.2
digital 8.1
leaves 7.9
distressed 7.9
broad 7.8
vehicle 7.7
stained 7.7
weathered 7.6
drawing 7.6
backdrop 7.4
facade 7.4
gold 7.4
letter 7.3
paint 7.2
card 7.2
surface 7.1

Google
created on 2022-01-22

Plant 87.3
Headgear 83.2
Art 81.3
Tints and shades 77.2
Vintage clothing 76.4
Window 75.5
Classic 70.4
History 68
Visual arts 65.4
Room 63.9
Paper product 58.1
Font 54.1
Retro style 53

Microsoft
created on 2022-01-22

building 99.7
old 96.3
person 91.6
clothing 91.3
house 74.4
black 74.1
text 63.2
sculpture 41.3
vintage 29
altar 10.1
stone 7.6

Color Analysis

Face analysis

Amazon

AWS Rekognition

Age 16-24
Gender Male, 79.8%
Calm 59.3%
Sad 19.6%
Angry 14.2%
Happy 2.5%
Fear 1.2%
Disgusted 1.2%
Confused 1.1%
Surprised 0.9%

AWS Rekognition

Age 11-19
Gender Female, 85.3%
Calm 94.9%
Sad 2.2%
Confused 0.8%
Fear 0.6%
Happy 0.6%
Angry 0.4%
Surprised 0.3%
Disgusted 0.2%

AWS Rekognition

Age 18-26
Gender Female, 67.7%
Calm 99.3%
Sad 0.2%
Confused 0.2%
Happy 0.1%
Angry 0.1%
Disgusted 0%
Surprised 0%
Fear 0%

AWS Rekognition

Age 22-30
Gender Female, 95.9%
Angry 49.2%
Calm 31.5%
Sad 14.7%
Happy 1.6%
Confused 1%
Fear 0.7%
Surprised 0.7%
Disgusted 0.6%

AWS Rekognition

Age 18-24
Gender Male, 99.7%
Calm 94.2%
Sad 2.5%
Angry 1.4%
Happy 0.5%
Confused 0.4%
Disgusted 0.3%
Surprised 0.3%
Fear 0.3%

AWS Rekognition

Age 13-21
Gender Female, 98.7%
Calm 83.6%
Sad 8.7%
Confused 5.3%
Happy 0.9%
Fear 0.7%
Disgusted 0.3%
Angry 0.2%
Surprised 0.2%

AWS Rekognition

Age 16-22
Gender Male, 69.8%
Calm 82.6%
Confused 8.2%
Sad 4%
Disgusted 1.4%
Angry 1.2%
Surprised 1%
Fear 0.9%
Happy 0.7%

AWS Rekognition

Age 4-10
Gender Female, 95.7%
Sad 45.4%
Calm 43.9%
Happy 4.5%
Disgusted 2.2%
Confused 1.9%
Surprised 0.8%
Angry 0.7%
Fear 0.6%

AWS Rekognition

Age 18-24
Gender Female, 51.6%
Calm 92.9%
Happy 3.7%
Confused 1.2%
Sad 1%
Disgusted 0.3%
Angry 0.3%
Fear 0.2%
Surprised 0.2%

AWS Rekognition

Age 22-30
Gender Female, 65.7%
Calm 78.9%
Sad 10.1%
Happy 4.9%
Confused 2.8%
Disgusted 1.2%
Angry 0.9%
Fear 0.7%
Surprised 0.6%

AWS Rekognition

Age 12-20
Gender Male, 96.4%
Calm 99.1%
Angry 0.5%
Sad 0.3%
Happy 0.1%
Confused 0.1%
Disgusted 0%
Surprised 0%
Fear 0%

AWS Rekognition

Age 7-17
Gender Female, 51.3%
Sad 50.9%
Calm 38.6%
Confused 6.3%
Angry 1.1%
Fear 0.9%
Happy 0.8%
Disgusted 0.8%
Surprised 0.5%

AWS Rekognition

Age 10-18
Gender Female, 66.7%
Calm 45.2%
Confused 23.8%
Sad 19.7%
Disgusted 8.9%
Happy 0.7%
Surprised 0.7%
Angry 0.5%
Fear 0.4%

AWS Rekognition

Age 2-8
Gender Male, 92.5%
Calm 97.5%
Disgusted 0.9%
Confused 0.5%
Angry 0.5%
Sad 0.3%
Surprised 0.1%
Happy 0.1%
Fear 0%

AWS Rekognition

Age 10-18
Gender Female, 89.4%
Calm 81.3%
Confused 6.5%
Happy 5.3%
Disgusted 3.2%
Sad 1.9%
Angry 0.7%
Fear 0.6%
Surprised 0.5%

AWS Rekognition

Age 4-10
Gender Female, 99.9%
Confused 57.9%
Calm 34.1%
Disgusted 2.6%
Sad 2.6%
Fear 1.2%
Surprised 0.7%
Happy 0.6%
Angry 0.5%

AWS Rekognition

Age 2-8
Gender Female, 99.9%
Sad 99.2%
Angry 0.3%
Calm 0.3%
Fear 0.1%
Happy 0.1%
Disgusted 0%
Confused 0%
Surprised 0%

AWS Rekognition

Age 20-28
Gender Female, 52.9%
Calm 87.7%
Angry 3.7%
Confused 3.1%
Sad 3%
Disgusted 0.8%
Surprised 0.8%
Happy 0.6%
Fear 0.4%

AWS Rekognition

Age 22-30
Gender Female, 95.5%
Calm 61.9%
Happy 30.6%
Sad 4.4%
Angry 0.7%
Disgusted 0.7%
Surprised 0.6%
Confused 0.6%
Fear 0.5%

AWS Rekognition

Age 7-17
Gender Female, 87.1%
Calm 91.7%
Sad 4.7%
Surprised 1.1%
Confused 1%
Happy 0.5%
Fear 0.4%
Disgusted 0.4%
Angry 0.2%

AWS Rekognition

Age 19-27
Gender Male, 92.1%
Calm 74.7%
Confused 15.7%
Happy 2.5%
Disgusted 2.2%
Sad 2%
Fear 1.2%
Surprised 0.9%
Angry 0.7%

AWS Rekognition

Age 19-27
Gender Female, 97.9%
Calm 97.4%
Angry 0.8%
Confused 0.7%
Sad 0.6%
Surprised 0.2%
Disgusted 0.1%
Happy 0.1%
Fear 0.1%

AWS Rekognition

Age 18-26
Gender Female, 99%
Calm 53.6%
Angry 19.9%
Sad 13.7%
Disgusted 3.3%
Confused 2.8%
Surprised 2.4%
Happy 2.1%
Fear 2.1%

AWS Rekognition

Age 26-36
Gender Male, 95.4%
Calm 99%
Confused 0.3%
Sad 0.3%
Disgusted 0.1%
Angry 0.1%
Fear 0.1%
Happy 0.1%
Surprised 0.1%

AWS Rekognition

Age 30-40
Gender Female, 92%
Calm 94.5%
Happy 2.2%
Sad 1.7%
Confused 0.7%
Disgusted 0.3%
Angry 0.3%
Surprised 0.2%
Fear 0.1%

AWS Rekognition

Age 20-28
Gender Female, 62.7%
Calm 97.7%
Fear 0.9%
Disgusted 0.4%
Sad 0.3%
Angry 0.2%
Confused 0.2%
Happy 0.2%
Surprised 0.1%

AWS Rekognition

Age 18-24
Gender Male, 99.3%
Calm 66%
Sad 12.6%
Angry 7.1%
Happy 6.7%
Confused 3.4%
Disgusted 1.9%
Surprised 1.4%
Fear 0.8%

AWS Rekognition

Age 2-8
Gender Male, 90%
Calm 80.3%
Sad 10.6%
Fear 2.8%
Happy 2.3%
Confused 2.2%
Disgusted 0.7%
Angry 0.7%
Surprised 0.3%

AWS Rekognition

Age 21-29
Gender Female, 51%
Sad 78.9%
Calm 11%
Angry 5.3%
Confused 1.8%
Happy 1.7%
Fear 0.5%
Disgusted 0.5%
Surprised 0.3%

AWS Rekognition

Age 18-26
Gender Female, 50.4%
Calm 97.4%
Confused 1%
Angry 0.5%
Sad 0.4%
Disgusted 0.2%
Surprised 0.2%
Happy 0.2%
Fear 0.1%

AWS Rekognition

Age 19-27
Gender Male, 65.9%
Calm 56.9%
Sad 32.3%
Confused 6.9%
Angry 1%
Fear 0.9%
Happy 0.9%
Surprised 0.5%
Disgusted 0.5%

AWS Rekognition

Age 18-26
Gender Male, 58.4%
Fear 35.4%
Calm 34.9%
Sad 16.1%
Angry 5.7%
Confused 3.1%
Happy 2.1%
Disgusted 1.8%
Surprised 0.8%

AWS Rekognition

Age 7-17
Gender Male, 71.7%
Calm 35.7%
Sad 34.1%
Disgusted 15.2%
Confused 5.2%
Happy 5%
Angry 1.8%
Fear 1.7%
Surprised 1.4%

AWS Rekognition

Age 14-22
Gender Female, 71%
Calm 81.7%
Fear 6.3%
Confused 3.6%
Surprised 2.3%
Happy 2%
Sad 1.6%
Disgusted 1.3%
Angry 1.2%

AWS Rekognition

Age 18-24
Gender Male, 96.3%
Calm 92.7%
Sad 2.7%
Angry 2.4%
Confused 0.9%
Happy 0.6%
Disgusted 0.3%
Surprised 0.2%
Fear 0.2%

AWS Rekognition

Age 23-33
Gender Male, 75.5%
Calm 92.7%
Angry 2.8%
Sad 1.4%
Fear 0.9%
Disgusted 0.9%
Surprised 0.5%
Happy 0.4%
Confused 0.4%

Feature analysis

Amazon

Painting 92.7%

Categories

Imagga

paintings art 99%