Human Generated Data

Title

Untitled (large crowd watching turtle race on lawn)

Date

c. 1950

People

Artist: Jack Gould, American

Classification

Photographs

Credit Line

Harvard Art Museums/Fogg Museum, Transfer from the Carpenter Center for the Visual Arts, American Professional Photographers Collection, 4.2002.14937

Human Generated Data

Title

Untitled (large crowd watching turtle race on lawn)

People

Artist: Jack Gould, American

Date

c. 1950

Classification

Photographs

Credit Line

Harvard Art Museums/Fogg Museum, Transfer from the Carpenter Center for the Visual Arts, American Professional Photographers Collection, 4.2002.14937

Machine Generated Data

Tags

Amazon
created on 2022-01-29

Person 98.8
Human 98.8
Bird 96.8
Animal 96.8
Person 94.9
Person 94.9
Bird 94.5
Person 94.5
Person 89.1
Collage 86.9
Advertisement 86.9
Poster 86.9
Person 83.8
Person 83.5
Person 80.5
Bird 78.4
Person 70.3
Art 64.4
People 63.8
Person 63.5
Text 59.5
Face 59.4
Clothing 58.3
Apparel 58.3

Clarifai
created on 2023-10-28

people 99
art 95.3
child 93.3
street 93
woman 90.9
group 89.1
adult 87.6
monochrome 85.7
man 85.2
wear 84.5
no person 84.2
moon 84.2
painting 82.6
many 82
old 79.2
texture 76.8
one 76.5
retro 75.9
abstract 74.6
dark 74.3

Imagga
created on 2022-01-29

blackboard 72
grunge 45.1
old 43.2
texture 39.6
vintage 38.9
antique 36.3
frame 34.2
retro 31.9
aged 30.8
wall 27.8
grungy 25.6
border 25.3
art 24.6
dirty 24.4
rough 23.7
ancient 23.3
material 23.2
design 23.1
damaged 22.9
paint 21.7
pattern 21.2
screen 20.1
black 18.6
decoration 17.6
textured 17.5
film 17.3
paper 17.2
empty 17.2
rusty 17.1
blank 17.1
wallpaper 16.8
weathered 16.1
book jacket 15.9
structure 14.6
rust 14.4
backdrop 14
space 14
messy 13.5
worn 13.4
brown 13.2
graphic 13.1
photograph 13.1
text 13.1
jacket 12.4
surface 12.3
color 12.2
wood 11.7
decay 11.6
edge 11.5
covering 11.5
digital 11.3
element 10.7
scratch 10.7
stain 10.6
computer 10.3
template 10.1
negative 10
noisy 9.9
photographic 9.8
noise 9.8
ragged 9.7
movie 9.7
detail 9.6
detailed 9.6
parchment 9.6
old fashioned 9.5
wrapping 9.4
highly 8.9
layered 8.8
mess 8.8
board 8.8
crater 8.8
frames 8.8
grime 8.8
wooden 8.8
slide 8.8
stains 8.7
crack 8.7
your 8.7
stained 8.6
mask 8.6
window screen 8.6
architecture 8.6
painted 8.6
grain 8.3
letter 8.2
historic 8.2
style 8.2
close 8
scratches 7.9
designed 7.9
crumpled 7.8
drawing 7.7
layer 7.7
collage 7.7
culture 7.7
spot 7.7
great 7.7
one 7.5
entertainment 7.4
backgrounds 7.3
natural depression 7.1

Google
created on 2022-01-29

Microsoft
created on 2022-01-29

black and white 96.8
text 96.6
drawing 89.6
white 76.3
monochrome 70.5
black 67.5
gallery 65.6
sketch 63.1
old 60.4

Color Analysis

Face analysis

Amazon

AWS Rekognition

Age 24-34
Gender Female, 96.6%
Calm 48.7%
Sad 18.1%
Happy 17.7%
Fear 7.1%
Disgusted 3.3%
Confused 2.6%
Angry 1.8%
Surprised 0.8%

AWS Rekognition

Age 18-24
Gender Female, 100%
Happy 29.5%
Calm 21.3%
Surprised 19.8%
Fear 8.5%
Angry 7.9%
Disgusted 6%
Sad 4.9%
Confused 2.1%

AWS Rekognition

Age 24-34
Gender Male, 87.1%
Surprised 84.9%
Calm 6.7%
Angry 2.9%
Sad 2.5%
Happy 1.4%
Disgusted 0.9%
Confused 0.4%
Fear 0.3%

AWS Rekognition

Age 23-33
Gender Male, 98.8%
Calm 82.8%
Happy 13.4%
Surprised 1.7%
Confused 0.9%
Disgusted 0.7%
Angry 0.3%
Sad 0.1%
Fear 0.1%

AWS Rekognition

Age 16-22
Gender Male, 82.9%
Happy 51.4%
Fear 16.9%
Sad 14%
Surprised 12.1%
Confused 3.1%
Disgusted 1%
Angry 0.8%
Calm 0.8%

AWS Rekognition

Age 23-31
Gender Female, 99.9%
Happy 92.1%
Calm 3.5%
Disgusted 1.5%
Sad 0.9%
Surprised 0.8%
Fear 0.4%
Confused 0.4%
Angry 0.4%

AWS Rekognition

Age 20-28
Gender Female, 72.4%
Surprised 59.3%
Calm 23.5%
Confused 9.4%
Fear 2.7%
Disgusted 2.5%
Angry 1.1%
Happy 0.8%
Sad 0.7%

AWS Rekognition

Age 51-59
Gender Male, 88%
Surprised 30.1%
Calm 27.4%
Confused 20.9%
Disgusted 7.7%
Sad 7.6%
Angry 3%
Happy 1.7%
Fear 1.5%

AWS Rekognition

Age 21-29
Gender Female, 65.3%
Calm 88.7%
Surprised 4.8%
Disgusted 2.3%
Confused 1.7%
Fear 1.1%
Sad 0.5%
Angry 0.5%
Happy 0.3%

AWS Rekognition

Age 13-21
Gender Male, 98.9%
Calm 83%
Happy 10.5%
Surprised 2.4%
Confused 1.2%
Fear 1%
Angry 0.9%
Disgusted 0.6%
Sad 0.5%

AWS Rekognition

Age 22-30
Gender Female, 51.9%
Calm 44.9%
Sad 27.9%
Happy 17.5%
Confused 3.8%
Fear 2.5%
Disgusted 1.4%
Angry 1.3%
Surprised 0.7%

AWS Rekognition

Age 26-36
Gender Male, 98.7%
Confused 46.6%
Disgusted 19.3%
Calm 12.8%
Angry 5.7%
Sad 5.2%
Happy 4.4%
Surprised 4.3%
Fear 1.8%

AWS Rekognition

Age 23-31
Gender Female, 78.2%
Calm 64.4%
Happy 18.6%
Sad 8.8%
Confused 4.5%
Disgusted 1.3%
Angry 0.9%
Fear 0.8%
Surprised 0.8%

AWS Rekognition

Age 21-29
Gender Female, 99.8%
Surprised 83.3%
Calm 7.2%
Fear 2.8%
Confused 2.1%
Sad 1.7%
Disgusted 1.3%
Angry 1%
Happy 0.5%

AWS Rekognition

Age 21-29
Gender Male, 57.6%
Calm 64.5%
Sad 10.3%
Happy 10.2%
Confused 7.2%
Disgusted 2.6%
Surprised 2.2%
Fear 1.6%
Angry 1.6%

AWS Rekognition

Age 20-28
Gender Male, 98.5%
Calm 90.7%
Fear 4.7%
Sad 2%
Confused 1%
Disgusted 0.5%
Angry 0.4%
Surprised 0.4%
Happy 0.3%

AWS Rekognition

Age 27-37
Gender Female, 89.5%
Confused 34.1%
Calm 18.1%
Sad 10.8%
Surprised 9.6%
Fear 9%
Angry 7.6%
Happy 6%
Disgusted 4.8%

Feature analysis

Amazon

Person
Bird
Person 98.8%
Person 94.9%
Person 94.9%
Person 94.5%
Person 89.1%
Person 83.8%
Person 83.5%
Person 80.5%
Person 70.3%
Person 63.5%
Bird 96.8%
Bird 94.5%
Bird 78.4%

Categories

Text analysis

Amazon

6
E
207
KODYK
207 to E And
to
And

Google

MAGOX
MAGOX