Human Generated Data

Title

Untitled (elevated view of large group of men posed raising glasses at wedding)

Date

1949

People

Artist: Martin Schweig, American 20th century

Classification

Photographs

Credit Line

Harvard Art Museums/Fogg Museum, Transfer from the Carpenter Center for the Visual Arts, American Professional Photographers Collection, 4.2002.9241

Human Generated Data

Title

Untitled (elevated view of large group of men posed raising glasses at wedding)

People

Artist: Martin Schweig, American 20th century

Date

1949

Classification

Photographs

Credit Line

Harvard Art Museums/Fogg Museum, Transfer from the Carpenter Center for the Visual Arts, American Professional Photographers Collection, 4.2002.9241

Machine Generated Data

Tags

Amazon
created on 2022-01-23

Clothing 100
Apparel 100
Person 99
Human 99
Person 98.9
Person 98.7
Person 98.5
Person 97.9
Person 97.1
Person 96.5
Person 96
Person 95.3
Tie 95.1
Accessories 95.1
Accessory 95.1
Robe 94.6
Fashion 94.6
Gown 92.9
Person 89.8
Person 88
Wedding 87.8
Person 84.5
Wedding Gown 80.1
Bride 77.4
Person 76.8
Female 75.4
Bridegroom 74.1
Person 73
Person 70.7
Meal 59.9
Food 59.9
Plant 56.5
Woman 55.4

Clarifai
created on 2023-10-27

people 99.9
group 99.7
many 98.8
group together 98.6
adult 98.4
man 97.7
woman 93.5
education 92.5
uniform 88.1
leader 87.8
wear 87.2
several 86.3
portrait 85
school 84.3
facial expression 82.3
outfit 82
medical practitioner 80.9
victory 78.7
five 77.8
outerwear 73.9

Imagga
created on 2022-01-23

person 48.3
man 41
nurse 40.2
coat 38.7
lab coat 38.3
doctor 37.6
medical 36.2
male 33.3
people 31.8
professional 31.5
golfer 31.1
hospital 30.3
adult 28.4
medicine 27.3
patient 25.1
health 24.3
player 24.1
happy 23.8
businessman 22.9
business 22.5
looking 22.4
clinic 21.8
group 21.8
team 21.5
care 20.6
stethoscope 20.4
job 20.3
contestant 18.9
occupation 18.3
confident 18.2
smiling 18.1
casual 17.8
doctors 17.7
mature 17.7
practitioner 17.6
portrait 17.5
specialist 17.4
work 16.5
indoor 16.4
smile 16.4
staff 16.3
men 16.3
student 15.8
camera 15.7
face 15.6
uniform 15.4
worker 15.4
elderly 15.3
office 15.3
handsome 15.1
standing 14.8
cheerful 14.6
case 13.9
education 13.8
profession 13.4
teacher 13.3
clothing 13.2
physician 12.7
happiness 12.5
30s 12.5
exam 12.4
businesspeople 12.3
senior 12.2
surgeon 12.1
old 11.8
clinical 11.7
blackboard 11.7
color 11.7
garment 11.7
confidence 11.5
indoors 11.4
teamwork 11.1
colleagues 10.7
mid adult 10.6
room 10.5
two 10.2
positive 10.1
lifestyle 10.1
gray hair 9.8
good mood 9.8
attractive 9.8
human 9.7
consultant 9.7
couple 9.6
chart 9.6
serious 9.5
career 9.5
desk 9.4
classroom 9.3
bright 9.3
treatment 9.2
friendly 9.1
hand 9.1
general practitioner 8.9
success 8.8
working 8.8
lab 8.7
health care 8.7
older 8.7
expertise 8.7
day 8.6
writing 8.5
20s 8.2
suit 8.2
aged 8.1
employee 8.1
school 8.1
home 8
diagnosis 7.8
hands 7.8
60s 7.8
black 7.8
40s 7.8
examination 7.8
laboratory 7.7
illness 7.6
healthy 7.6
child 7.5
businesswoman 7.3
sick person 7.2
hair 7.1
women 7.1
science 7.1
modern 7

Google
created on 2022-01-23

Microsoft
created on 2022-01-23

person 99.8
text 97.4
clothing 93.8
man 88.2
group 79.9
posing 59.7

Color Analysis

Face analysis

Amazon

Google

AWS Rekognition

Age 54-64
Gender Male, 100%
Happy 42.9%
Calm 27.6%
Confused 18.2%
Sad 6.4%
Angry 2.2%
Disgusted 1.5%
Surprised 0.8%
Fear 0.3%

AWS Rekognition

Age 30-40
Gender Male, 100%
Calm 68.1%
Surprised 12.5%
Confused 7.5%
Sad 6.4%
Angry 2.5%
Disgusted 1.3%
Happy 0.9%
Fear 0.8%

AWS Rekognition

Age 29-39
Gender Male, 99.6%
Sad 99.9%
Angry 0%
Happy 0%
Calm 0%
Disgusted 0%
Fear 0%
Confused 0%
Surprised 0%

AWS Rekognition

Age 53-61
Gender Male, 99.4%
Happy 91.5%
Sad 2.6%
Calm 2.2%
Confused 1.1%
Angry 0.9%
Surprised 0.7%
Disgusted 0.7%
Fear 0.4%

AWS Rekognition

Age 35-43
Gender Male, 100%
Surprised 56.2%
Calm 20.1%
Happy 13.9%
Angry 3.4%
Sad 2.8%
Disgusted 2.1%
Confused 1.1%
Fear 0.4%

AWS Rekognition

Age 50-58
Gender Female, 58.1%
Calm 84.1%
Happy 13.7%
Confused 0.8%
Disgusted 0.5%
Surprised 0.4%
Angry 0.3%
Sad 0.2%
Fear 0%

AWS Rekognition

Age 45-53
Gender Male, 100%
Sad 50.6%
Confused 21.2%
Fear 11.2%
Happy 10.3%
Surprised 2.7%
Angry 2%
Disgusted 1.4%
Calm 0.6%

AWS Rekognition

Age 52-60
Gender Male, 83.9%
Confused 38.9%
Sad 33.2%
Calm 22.8%
Surprised 2.3%
Fear 1.3%
Angry 0.8%
Disgusted 0.4%
Happy 0.4%

AWS Rekognition

Age 35-43
Gender Male, 99.8%
Sad 47.3%
Happy 31.3%
Confused 9.1%
Calm 3.4%
Surprised 3.1%
Fear 2.7%
Disgusted 1.6%
Angry 1.6%

AWS Rekognition

Age 54-62
Gender Male, 99.9%
Sad 95.7%
Happy 1.2%
Calm 1.1%
Angry 0.9%
Surprised 0.3%
Disgusted 0.3%
Confused 0.3%
Fear 0.2%

AWS Rekognition

Age 23-33
Gender Male, 98%
Happy 66.6%
Sad 20.4%
Surprised 3.1%
Fear 2.5%
Calm 2.3%
Disgusted 2%
Confused 2%
Angry 1.1%

AWS Rekognition

Age 51-59
Gender Male, 90.4%
Happy 66.4%
Calm 15.8%
Sad 6.7%
Surprised 4.4%
Confused 2.2%
Angry 1.9%
Fear 1.3%
Disgusted 1.3%

AWS Rekognition

Age 52-60
Gender Male, 97.4%
Sad 99.2%
Confused 0.5%
Fear 0.1%
Angry 0.1%
Happy 0%
Disgusted 0%
Calm 0%
Surprised 0%

AWS Rekognition

Age 33-41
Gender Male, 77.7%
Calm 98.2%
Surprised 0.6%
Sad 0.4%
Confused 0.3%
Happy 0.2%
Fear 0.1%
Disgusted 0.1%
Angry 0.1%

AWS Rekognition

Age 39-47
Gender Male, 90.4%
Calm 85.6%
Sad 10.3%
Confused 1.6%
Happy 0.9%
Angry 0.8%
Disgusted 0.3%
Surprised 0.3%
Fear 0.2%

AWS Rekognition

Age 39-47
Gender Male, 96.7%
Calm 58.3%
Happy 21%
Sad 12.8%
Angry 2.6%
Confused 2.1%
Surprised 1.4%
Disgusted 1.1%
Fear 0.9%

AWS Rekognition

Age 33-41
Gender Male, 84.3%
Calm 33.1%
Sad 23.5%
Disgusted 18.9%
Fear 6.8%
Confused 6.8%
Angry 4.9%
Happy 4.1%
Surprised 1.9%

AWS Rekognition

Age 43-51
Gender Male, 99.9%
Surprised 69.5%
Happy 21.2%
Calm 5.3%
Sad 1.9%
Confused 1.5%
Disgusted 0.3%
Angry 0.2%
Fear 0.1%

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 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 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 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 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 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 unlikely
Headwear Very unlikely
Blurred Very unlikely

Feature analysis

Amazon

Person 99%
Tie 95.1%

Categories