Human Generated Data

Title

Untitled (addressing Vietnamese crowd, Vietnam)

Date

1967-68

People

Artist: Gordon W. Gahan, American 1945 - 1984

Classification

Photographs

Credit Line

Harvard Art Museums/Fogg Museum, Gift of Barbara Robinson, 2007.184.2.322.3

Human Generated Data

Title

Untitled (addressing Vietnamese crowd, Vietnam)

People

Artist: Gordon W. Gahan, American 1945 - 1984

Date

1967-68

Classification

Photographs

Credit Line

Harvard Art Museums/Fogg Museum, Gift of Barbara Robinson, 2007.184.2.322.3

Machine Generated Data

Tags

Amazon
created on 2023-10-25

Adult 97.7
Male 97.7
Man 97.7
Person 97.7
Adult 96.9
Male 96.9
Man 96.9
Person 96.9
Adult 96.5
Male 96.5
Man 96.5
Person 96.5
Adult 95.9
Person 95.9
Female 95.9
Woman 95.9
Person 95.2
Person 92.3
Person 90.5
Crowd 89.3
Person 89
Person 89
Person 88.5
Person 87.8
Face 86.2
Head 86.2
Person 83.4
Person 82
Person 81.6
Person 80.9
Person 80
Person 79.1
Person 79
Person 77.3
Person 75.9
Person 75.2
Wedding 72.9
Person 72.5
Clothing 71.8
Dress 71.8
Person 70.9
Person 70.1
Person 66.2
Person 66
Person 63.2
Bridegroom 62.7
Person 60.3
Person 59.1
Audience 57.8
Person 57.6
Electrical Device 57.4
Microphone 57.4
Funeral 57
Fashion 56.8
Formal Wear 56.8
Gown 56.8
Wedding Gown 56.2
People 56.1

Clarifai
created on 2018-10-06

people 99.9
adult 99.1
group 98.4
wear 96.6
group together 96.4
one 96.3
man 96
room 94.7
furniture 94.7
leader 94
woman 93.8
many 92.4
several 91.5
administration 91.5
war 90.3
two 88.9
facial expression 88.1
child 87.1
outfit 85.9
vehicle 85.7

Imagga
created on 2018-10-06

man 24.2
adult 20.7
people 19.5
male 19.4
person 19.4
home 18.3
black 15.6
room 15
indoors 13.2
shop 12.7
film 12.6
hospital 12
device 12
x-ray film 11.7
barbershop 10.9
equipment 10.9
house 10.9
interior 10.6
medical 10.6
human 10.5
glass 10.4
health 10.4
love 10.3
smiling 10.1
hand 9.9
patient 9.7
medicine 9.7
men 9.4
mercantile establishment 9.3
casual 9.3
elegance 9.2
face 9.2
drink 9.2
window 9.2
portrait 9.1
care 9
fashion 9
happy 8.8
hair 8.7
couple 8.7
light 8.7
decoration 8.6
sitting 8.6
holding 8.3
clothing 8.2
family 8
child 7.9
women 7.9
work 7.8
smile 7.8
happiness 7.8
attractive 7.7
husband 7.6
illness 7.6
bed 7.6
doctor 7.5
photographic paper 7.5
cheerful 7.3

Google
created on 2018-10-06

Microsoft
created on 2018-10-06

indoor 97.8
white 70.9

Color Analysis

Face analysis

Amazon

AWS Rekognition

Age 30-40
Gender Male, 99.5%
Sad 95.1%
Calm 45.1%
Surprised 6.9%
Fear 6.2%
Confused 2.9%
Angry 1%
Disgusted 1%
Happy 0.6%

AWS Rekognition

Age 22-30
Gender Male, 97.5%
Sad 99.3%
Calm 34.5%
Surprised 6.4%
Fear 6.2%
Confused 1.5%
Angry 0.6%
Disgusted 0.5%
Happy 0.3%

AWS Rekognition

Age 41-49
Gender Female, 95.6%
Calm 98.7%
Surprised 6.5%
Fear 5.9%
Sad 2.2%
Happy 0.6%
Confused 0.2%
Disgusted 0.1%
Angry 0%

AWS Rekognition

Age 16-22
Gender Male, 98.3%
Sad 48.9%
Confused 46.2%
Fear 12.8%
Calm 11.7%
Surprised 6.6%
Disgusted 0.8%
Happy 0.8%
Angry 0.6%

AWS Rekognition

Age 45-53
Gender Male, 95.6%
Calm 55.8%
Angry 20.8%
Surprised 8.3%
Fear 7.3%
Happy 6.7%
Disgusted 4.6%
Sad 3%
Confused 2.5%

AWS Rekognition

Age 21-29
Gender Male, 98.5%
Calm 43.9%
Angry 20.8%
Disgusted 19.3%
Surprised 8.4%
Happy 7.3%
Fear 6.1%
Sad 3.1%
Confused 1.9%

AWS Rekognition

Age 26-36
Gender Female, 54.5%
Sad 69.4%
Angry 35.2%
Calm 14.6%
Fear 12.3%
Surprised 7.1%
Confused 1.9%
Disgusted 1.4%
Happy 0.8%

AWS Rekognition

Age 21-29
Gender Male, 99.7%
Fear 77.4%
Sad 13%
Calm 9.6%
Confused 9.5%
Surprised 7.5%
Happy 2.9%
Disgusted 1.6%
Angry 1.1%

AWS Rekognition

Age 33-41
Gender Female, 99.4%
Fear 49.1%
Calm 32%
Sad 28.5%
Surprised 6.6%
Confused 2.1%
Disgusted 1.8%
Happy 1.8%
Angry 0.4%

AWS Rekognition

Age 49-57
Gender Male, 98.4%
Happy 55.3%
Calm 31.5%
Surprised 7.5%
Fear 6.4%
Disgusted 3.2%
Confused 3.1%
Sad 2.7%
Angry 1.9%

AWS Rekognition

Age 48-56
Gender Male, 89.4%
Calm 56%
Confused 22.4%
Surprised 8%
Fear 6.2%
Disgusted 5.4%
Happy 5%
Sad 4.7%
Angry 1.5%

AWS Rekognition

Age 27-37
Gender Male, 76.7%
Calm 57.5%
Sad 26.5%
Fear 8.8%
Surprised 7.9%
Disgusted 4.7%
Confused 4.4%
Angry 3.1%
Happy 1.3%

AWS Rekognition

Age 36-44
Gender Male, 96.5%
Happy 82.6%
Calm 14.3%
Surprised 6.6%
Fear 6%
Sad 2.3%
Disgusted 1.1%
Angry 0.3%
Confused 0.3%

AWS Rekognition

Age 23-33
Gender Female, 68.3%
Sad 79.9%
Calm 38.9%
Disgusted 10.2%
Surprised 7.2%
Fear 6.8%
Confused 6%
Happy 2.6%
Angry 2.1%

AWS Rekognition

Age 35-43
Gender Male, 97.1%
Sad 99.9%
Calm 16.9%
Surprised 7%
Fear 6.3%
Confused 3.2%
Happy 2.4%
Disgusted 1.3%
Angry 0.9%

AWS Rekognition

Age 29-39
Gender Male, 81%
Calm 79.7%
Fear 10.1%
Surprised 7.7%
Happy 3%
Confused 2.7%
Sad 2.4%
Disgusted 1.7%
Angry 0.8%

AWS Rekognition

Age 45-51
Gender Male, 93.6%
Fear 55.7%
Sad 53.4%
Surprised 11.7%
Happy 8.3%
Calm 5.5%
Disgusted 2.3%
Confused 1.9%
Angry 1.5%

AWS Rekognition

Age 40-48
Gender Male, 99.2%
Happy 74.1%
Calm 19.2%
Surprised 8.1%
Fear 6%
Sad 2.4%
Confused 1%
Angry 0.9%
Disgusted 0.5%

AWS Rekognition

Age 23-33
Gender Female, 94.2%
Happy 45.8%
Disgusted 16.1%
Confused 10.2%
Surprised 9.6%
Calm 9.3%
Fear 7.9%
Sad 4.3%
Angry 3.5%

Feature analysis

Amazon

Adult 97.7%
Male 97.7%
Man 97.7%
Person 97.7%
Female 95.9%
Woman 95.9%