Human Generated Data

Title

Untitled (marching band in parade through town)

Date

1941

People

Artist: Hamblin Studio, American active 1930s

Classification

Photographs

Credit Line

Harvard Art Museums/Fogg Museum, Transfer from the Carpenter Center for the Visual Arts, American Professional Photographers Collection, 4.2002.2059

Human Generated Data

Title

Untitled (marching band in parade through town)

People

Artist: Hamblin Studio, American active 1930s

Date

1941

Classification

Photographs

Credit Line

Harvard Art Museums/Fogg Museum, Transfer from the Carpenter Center for the Visual Arts, American Professional Photographers Collection, 4.2002.2059

Machine Generated Data

Tags

Amazon
created on 2021-12-14

Person 98.9
Human 98.9
Person 98.4
Person 98.1
Person 98
Person 96.4
Crowd 96.2
Marching 92
Person 88.4
Person 88.2
Person 85.2
Festival 81.5
Person 79.2
People 74.8
Shorts 72.8
Clothing 72.8
Apparel 72.8
Person 71.3
Person 69
Parade 65.1
Person 64.6
Person 64.5
Hand 64.2
Person 57.8

Clarifai
created on 2023-10-25

people 99.7
many 99.2
crowd 97.8
man 95.7
group 94.4
group together 91.7
conformity 90.9
education 90.7
war 89.2
adult 88.2
military 88
soldier 83.3
school 81.5
woman 78.9
child 78.1
populace 77.1
league 75.1
leader 74.4
uniform 74
squad 73.9

Imagga
created on 2021-12-14

pattern 26.7
grunge 23.8
design 22.5
snow 21
art 20.8
cold 20.6
retro 20.5
ornament 19.8
floral 19.6
frame 19.4
clear 19.2
liquid 19.1
drop 19
backdrop 18.9
texture 18.1
water 17.3
border 17.2
splash 17.2
decoration 17
bubble 16.9
graphic 16.8
vintage 16.6
element 16.5
plant 16.3
transparent 16.1
wallpaper 16.1
ripple 15.3
cool 15.1
clean 15
black 15
flower 14.6
winter 14.5
light 14
decorative 13.4
color 13.3
curve 13.1
wave 12.9
antique 12.9
ornate 12.8
blackboard 12.7
energy 12.6
old 12.5
drink 12.5
flowing 12.1
drawing 11.9
shape 11.9
leaf 11.7
droplet 11.6
wash 11.6
crystal 11.1
motion 11.1
chandelier 11.1
fresh 11.1
glass 10.9
holiday 10.7
wet 10.7
drip 10.7
decor 10.6
modern 10.5
purity 10.2
swirl 10.1
silhouette 9.9
spa 9.9
backgrounds 9.7
ice 9.7
surface 9.7
frozen 9.5
bubbles 9.5
circle 9.5
season 9.3
weather 9.3
banner 9.2
freshness 9.1
paint 9
star 9
style 8.9
thirst 8.8
text 8.7
splashing 8.7
line 8.6
close 8.6
bath 8.5
poster 8.5
health 8.3
flow 8.3
foliage 8.3
speed 8.2
lighting fixture 8.1
creative 7.9
card 7.8
space 7.8
summer 7.7
sky 7.6
elegance 7.6
drops 7.5
rain 7.5
elements 7.4
smooth 7.3
dirty 7.2
celebration 7.2
gymnasium 7.2

Google
created on 2021-12-14

Black 89.6
Black-and-white 85
Style 83.9
Font 82.3
Line 81.8
Motor vehicle 80.5
Crowd 75.7
Bird 74.7
Monochrome photography 72.4
Event 71.5
Monochrome 71.2
Urban design 69.6
Flock 68.8
City 66.8
Room 64.6
Animal migration 63.9
Stock photography 62.3
Recreation 59
Pattern 56.5
Audience 55.8

Microsoft
created on 2021-12-14

posing 86.4
text 85.4
person 73.4
dance 73.2
black and white 65.1
group 57.5
old 56.8
people 55
image 33.4

Color Analysis

Face analysis

Amazon

AWS Rekognition

Age 11-21
Gender Female, 67.5%
Calm 71.9%
Sad 9.9%
Happy 6.5%
Angry 5.3%
Confused 3.2%
Surprised 1.7%
Disgusted 1%
Fear 0.5%

AWS Rekognition

Age 39-57
Gender Male, 74.4%
Sad 61.7%
Calm 26.8%
Fear 3.3%
Angry 3%
Happy 2.7%
Confused 1.2%
Disgusted 0.9%
Surprised 0.3%

AWS Rekognition

Age 23-35
Gender Female, 71.4%
Calm 73.6%
Happy 21.5%
Sad 1.7%
Surprised 1.4%
Angry 0.5%
Disgusted 0.5%
Fear 0.5%
Confused 0.3%

AWS Rekognition

Age 16-28
Gender Female, 80.2%
Sad 64.2%
Calm 18.9%
Happy 8.6%
Fear 4.7%
Angry 1.7%
Confused 0.9%
Surprised 0.7%
Disgusted 0.3%

AWS Rekognition

Age 21-33
Gender Male, 60.2%
Calm 62.7%
Happy 10.9%
Disgusted 7.5%
Surprised 6.8%
Sad 6.8%
Angry 2.5%
Confused 2%
Fear 0.8%

AWS Rekognition

Age 21-33
Gender Male, 62%
Calm 91.8%
Sad 3%
Happy 2.4%
Angry 1%
Confused 0.7%
Fear 0.7%
Surprised 0.2%
Disgusted 0.2%

AWS Rekognition

Age 13-25
Gender Female, 89.5%
Fear 57.3%
Sad 20%
Calm 19.2%
Angry 1.1%
Surprised 0.9%
Confused 0.6%
Happy 0.6%
Disgusted 0.2%

AWS Rekognition

Age 40-58
Gender Female, 59.3%
Calm 79.5%
Happy 13.8%
Fear 1.7%
Surprised 1.5%
Disgusted 1.3%
Sad 1.2%
Confused 0.5%
Angry 0.5%

AWS Rekognition

Age 22-34
Gender Male, 92.7%
Sad 97.9%
Calm 1.1%
Fear 0.4%
Confused 0.3%
Angry 0.2%
Surprised 0%
Happy 0%
Disgusted 0%

AWS Rekognition

Age 11-21
Gender Male, 62.7%
Sad 45.5%
Angry 42.8%
Calm 5.7%
Fear 4.3%
Confused 0.8%
Surprised 0.3%
Happy 0.3%
Disgusted 0.3%

AWS Rekognition

Age 22-34
Gender Female, 74.3%
Sad 98.1%
Fear 0.7%
Calm 0.5%
Confused 0.3%
Happy 0.2%
Disgusted 0.2%
Angry 0.1%
Surprised 0%

AWS Rekognition

Age 48-66
Gender Female, 57.8%
Calm 43.9%
Happy 27.5%
Sad 21.4%
Angry 2.8%
Fear 1.7%
Confused 1.5%
Surprised 0.6%
Disgusted 0.6%

AWS Rekognition

Age 22-34
Gender Male, 57%
Fear 59.3%
Angry 24.2%
Calm 10.7%
Happy 3%
Sad 1.7%
Surprised 0.7%
Confused 0.3%
Disgusted 0.1%

AWS Rekognition

Age 38-56
Gender Male, 59.4%
Calm 42.6%
Sad 40.1%
Happy 6.6%
Fear 5.4%
Confused 1.6%
Angry 1.4%
Surprised 1.2%
Disgusted 1.2%

AWS Rekognition

Age 20-32
Gender Male, 88.2%
Angry 46.4%
Calm 26.2%
Fear 12.7%
Surprised 4.8%
Sad 3.8%
Happy 3%
Disgusted 2.4%
Confused 0.7%

AWS Rekognition

Age 11-21
Gender Male, 91.8%
Calm 93.5%
Sad 2.1%
Happy 1%
Disgusted 0.8%
Angry 0.8%
Surprised 0.7%
Confused 0.7%
Fear 0.3%

Feature analysis

Amazon

Person 98.9%

Text analysis

Amazon

BANK
NATIONAL
ON
SUFFOLK
A7AA
AFF
RYT77A2 A7AA
or
RYT77A2

Google

NATONAL ANK ON
NATONAL
ANK
ON