Human Generated Data

Title

Untitled (wedding group portrait, bride and groom with leis)

Date

c. 1969, printed later

People

Artist: Clement McLarty, American active 1960s

Classification

Photographs

Credit Line

Harvard Art Museums/Fogg Museum, Transfer from the Carpenter Center for the Visual Arts, American Professional Photographers Collection, 4.2002.1051

Human Generated Data

Title

Untitled (wedding group portrait, bride and groom with leis)

People

Artist: Clement McLarty, American active 1960s

Date

c. 1969, printed later

Classification

Photographs

Credit Line

Harvard Art Museums/Fogg Museum, Transfer from the Carpenter Center for the Visual Arts, American Professional Photographers Collection, 4.2002.1051

Machine Generated Data

Tags

Amazon
created on 2022-01-23

Person 99.3
Human 99.3
Person 98.9
Person 98.8
Chair 98.6
Furniture 98.6
Person 98.5
Person 98.5
Clothing 96.5
Apparel 96.5
Overcoat 95.1
Coat 95.1
Chair 93.8
People 93.5
Person 92.9
Person 90.6
Person 89.4
Tie 87.9
Accessories 87.9
Accessory 87.9
Tie 86.4
Room 84.5
Indoors 84.5
Couch 83.5
Family 82
Table 80
Tuxedo 73.6
Living Room 71.4
Suit 68.1
Dining Table 66.4
Suit 66.2
Plant 65.4
Tie 63.4
Flower 62.3
Blossom 62.3
Reception 57.8
Flower Arrangement 57.5

Clarifai
created on 2023-10-26

people 100
group 99.8
adult 98.9
woman 98.5
group together 98.4
leader 96.5
man 95.9
portrait 95.7
child 92.7
many 92.3
several 92.2
administration 92.2
five 92
actress 91.6
monochrome 91.5
wedding 90
actor 89.5
room 88.6
facial expression 87.9
furniture 87.7

Imagga
created on 2022-01-23

man 38.3
waiter 36.9
male 33.3
person 32.6
people 30.7
adult 28.3
happy 28.2
dining-room attendant 28.1
business 27.3
smiling 26.8
employee 25.1
couple 24.4
businessman 23.8
cheerful 22.7
worker 21.5
home 20.7
smile 20.7
men 20.6
women 20.6
businesswoman 17.3
indoors 16.7
colleagues 16.5
standing 16.5
life 16.4
professional 16.2
lifestyle 15.9
businesspeople 15.2
happiness 14.9
holding 14.8
group 14.5
room 14.5
office 14.5
two 14.4
team 14.3
kitchen 14.3
family 14.2
meeting 14.1
senior 14.1
teacher 14
mature 13.9
30s 13.5
together 13.1
corporate 12.9
talking 12.3
classroom 12.3
interior 11.5
speaker 11.2
table 10.4
restaurant 10.3
sitting 10.3
student 10.2
teamwork 10.2
casual 10.2
communication 10.1
drink 10
modern 9.8
job 9.7
portrait 9.7
busy 9.6
loving 9.5
work 9.5
love 9.5
desk 9.4
dinner 9.4
wine 9.2
occupation 9.2
20s 9.2
articulator 9.1
suit 9
fun 9
handsome 8.9
color 8.9
success 8.8
coworkers 8.8
groom 8.8
executive 8.8
mother 8.8
education 8.7
indoor 8.2
confident 8.2
kin 8.1
looking 8
to 8
associates 7.9
30 35 years 7.9
hands 7.8
musical instrument 7.8
content 7.7
shop 7.7
drinking 7.6
blackboard 7.6
togetherness 7.5
house 7.5
friends 7.5
meal 7.4
alcohol 7.4
camera 7.4
school 7.2
working 7.1
day 7.1

Google
created on 2022-01-23

Microsoft
created on 2022-01-23

wall 98.6
posing 97.7
person 97.5
indoor 96.6
clothing 95.2
text 94.8
standing 91.4
old 86.2
woman 83.3
dress 82.7
smile 81.8
suit 80.9
group 78.7
man 76.4
wedding dress 76.1
bride 67.6

Color Analysis

Face analysis

Amazon

Microsoft

Google

AWS Rekognition

Age 23-31
Gender Male, 100%
Happy 71.7%
Calm 20.8%
Angry 1.9%
Confused 1.7%
Surprised 1.1%
Disgusted 1.1%
Fear 1.1%
Sad 0.6%

AWS Rekognition

Age 28-38
Gender Male, 99.7%
Calm 73.7%
Sad 8.6%
Angry 6.7%
Confused 3.9%
Disgusted 3.9%
Fear 1.3%
Surprised 1%
Happy 0.9%

AWS Rekognition

Age 47-53
Gender Female, 100%
Calm 51.9%
Surprised 18.2%
Happy 9.1%
Angry 6.9%
Confused 4.2%
Fear 3.4%
Disgusted 3.4%
Sad 3%

AWS Rekognition

Age 34-42
Gender Female, 99.9%
Calm 86.6%
Sad 5.2%
Angry 2.5%
Happy 2.2%
Surprised 1.2%
Confused 0.9%
Fear 0.7%
Disgusted 0.5%

AWS Rekognition

Age 56-64
Gender Male, 100%
Calm 62.7%
Fear 11.4%
Surprised 5.7%
Angry 5.6%
Disgusted 4.9%
Confused 4.5%
Sad 3.1%
Happy 2.2%

AWS Rekognition

Age 59-67
Gender Female, 100%
Confused 40.6%
Calm 32.3%
Surprised 11.9%
Happy 5.2%
Disgusted 4.8%
Angry 1.8%
Sad 1.8%
Fear 1.5%

AWS Rekognition

Age 54-64
Gender Male, 99.9%
Happy 55.4%
Calm 29.1%
Sad 6.8%
Confused 2.3%
Disgusted 1.8%
Surprised 1.6%
Angry 1.5%
Fear 1.5%

AWS Rekognition

Age 30-40
Gender Female, 99.7%
Happy 99.8%
Surprised 0%
Calm 0%
Angry 0%
Fear 0%
Sad 0%
Disgusted 0%
Confused 0%

AWS Rekognition

Age 29-39
Gender Female, 99.9%
Sad 26.9%
Disgusted 21.2%
Angry 16.5%
Happy 14.7%
Confused 11.7%
Calm 6.4%
Surprised 1.9%
Fear 0.7%

Microsoft Cognitive Services

Age 37
Gender Male

Microsoft Cognitive Services

Age 44
Gender Female

Microsoft Cognitive Services

Age 45
Gender Male

Microsoft Cognitive Services

Age 44
Gender Female

Microsoft Cognitive Services

Age 71
Gender Male

Microsoft Cognitive Services

Age 36
Gender Female

Google Vision

Surprise Very unlikely
Anger Very unlikely
Sorrow Very unlikely
Joy Unlikely
Headwear Very unlikely
Blurred Very unlikely

Google Vision

Surprise Very unlikely
Anger Very unlikely
Sorrow Very unlikely
Joy Very unlikely
Headwear Very unlikely
Blurred Very unlikely

Google Vision

Surprise Very unlikely
Anger Very unlikely
Sorrow Very unlikely
Joy Very likely
Headwear Very unlikely
Blurred Very unlikely

Google Vision

Surprise Very unlikely
Anger Very unlikely
Sorrow Very unlikely
Joy Very unlikely
Headwear Very unlikely
Blurred Very unlikely

Google Vision

Surprise Very unlikely
Anger Very unlikely
Sorrow Very unlikely
Joy Possible
Headwear Likely
Blurred Very unlikely

Google Vision

Surprise Very unlikely
Anger Very unlikely
Sorrow Very unlikely
Joy Very likely
Headwear Very unlikely
Blurred Very unlikely

Google Vision

Surprise Very unlikely
Anger Very unlikely
Sorrow Very unlikely
Joy Very unlikely
Headwear Possible
Blurred Very unlikely

Google Vision

Surprise Very unlikely
Anger Very unlikely
Sorrow Very unlikely
Joy Very likely
Headwear Very unlikely
Blurred Very unlikely

Google Vision

Surprise Very unlikely
Anger Very unlikely
Sorrow Very unlikely
Joy Very unlikely
Headwear Very unlikely
Blurred Very unlikely

Feature analysis

Amazon

Person 99.3%
Chair 98.6%
Tie 87.9%
Suit 68.1%

Categories

Imagga

people portraits 51.9%
events parties 47%

Text analysis

Amazon

6090
P138
127

Google

PI38
PI38