Human Generated Data

Title

Bradford
Date

1976, printed 2019
People

Artist: Chris Steele-Perkins, British, English born 1947
Classification

Photographs
Credit Line

Harvard Art Museums/Fogg Museum, Richard and Ronay Menschel Fund for the Acquisition of Photographs, 2019.237

Human Generated Data

Title

Bradford

People

Artist: Chris Steele-Perkins, British, English born 1947

Date

1976, printed 2019

Classification

Photographs

Credit Line

Harvard Art Museums/Fogg Museum, Richard and Ronay Menschel Fund for the Acquisition of Photographs, 2019.237

Machine Generated Data

Tags

Amazon
created on 2023-06-15

People 99.9
Dancing 99.2
Leisure Activities 99.2
Person 98.6
Child 98.6
Female 98.6
Girl 98.6
Person 98.4
Person 98
Adult 98
Male 98
Man 98
Person 97.9
Adult 97.9
Male 97.9
Man 97.9
Person 97.7
Female 97.7
Adult 97.7
Bride 97.7
Wedding 97.7
Woman 97.7
Person 97.6
Adult 97.6
Male 97.6
Man 97.6
Person 97
Adult 97
Male 97
Man 97
Person 96.8
Adult 96.8
Male 96.8
Man 96.8
Person 96.3
Adult 96.3
Male 96.3
Man 96.3
Person 95.7
Person 93.6
Female 93.6
Adult 93.6
Bride 93.6
Woman 93.6
Clothing 93
Footwear 93
Shoe 93
Person 92.9
Shoe 92.8
Person 92.8
Shoe 92
Fun 89.3
Party 89.3
Person 88.3
Shoe 86.5
Person 85.4
Person 85.3
Person 84.6
Face 82
Head 82
Person 81.3
Person 81
Shoe 80.7
Person 80.1
Shoe 78.9
Person 73.8
Dance Pose 71.6
Tango 71.6
Shoe 71.2
Person 70.7
Shoe 68.7
Jeans 65.9
Pants 65.9
Person 64.4
Person 62.5
Urban 57
Person 56.5
Floor 55.7
Dress 55.5

Clarifai
created on 2023-10-13

people 99.9
group 98.8
man 98.3
adult 97.7
woman 97.3
group together 97.2
child 92.4
family 92.4
portrait 92.2
retro 89.9
collage 89.1
recreation 89
music 87.5
many 87.2
adolescent 84.7
boy 84.1
vintage 83.3
wear 83
nostalgia 82
audience 80.7

Imagga
created on 2023-06-15

man 31.6
people 27.3
male 26.2
person 22.1
percussion instrument 20.2
musical instrument 19.3
marimba 19.3
adult 18.7
couple 15.7
child 15.3
black 15
love 15
kin 14.7
portrait 14.2
silhouette 14.1
outdoors 13.4
room 13.2
happy 13.2
computer 13.1
smiling 13
lifestyle 13
sitting 12.9
men 12.9
office 12.8
women 12.6
businessman 12.4
business 11.5
boy 10.4
education 10.4
indoor 10
classroom 10
television 10
human 9.7
lady 9.7
technology 9.6
looking 9.6
laptop 9.4
togetherness 9.4
day 9.4
happiness 9.4
professional 9.2
leisure 9.1
fun 9
cheerful 8.9
group 8.9
world 8.8
blackboard 8.6
model 8.5
face 8.5
youth 8.5
teacher 8.4
modern 8.4
school 8.4
summer 8.4
fashion 8.3
girls 8.2
team 8.1
romance 8
water 8
home 8
corporate 7.7
old 7.7
two 7.6
relaxation 7.5
friendship 7.5
alone 7.3
children 7.3
sunset 7.2
family 7.1
working 7.1
life 7
together 7

Google
created on 2023-06-15

Black-and-white 82.4
Technology 75
Snapshot 74.3
Monochrome photography 74.3
Monochrome 72.7
Event 71.1
Room 70.4
Vintage clothing 69
Art 67.3
Photo caption 66.4
Boot 64.5
Stock photography 63.2
Visual arts 61.9
Suit 61.3
Photographic paper 60.8
Dance 58.1
History 58
Chair 57.7
Font 57.4
Paper product 56.3

Microsoft
created on 2023-06-15

text 99.3
clothing 97.5
person 97.3
gallery 79.3
old 79.2
woman 78.8
people 77.3
footwear 75.7
black 74.2
man 73.8
dance 71.8
group 67.8
black and white 67.5
posing 66.1
white 65.6
room 54.4
picture frame 54.3
vintage 31.1
display 29.6
screenshot 19.4

Color Analysis

Face analysis

Amazon

Microsoft

Google

AWS Rekognition

Age 22-30
Gender Male, 99.9%
Calm 90.6%
Surprised 6.3%
Fear 5.9%
Sad 5.1%
Confused 1.6%
Angry 0.5%
Disgusted 0.4%
Happy 0.3%

AWS Rekognition

Age 20-28
Gender Male, 99.2%
Sad 99.9%
Calm 8.7%
Surprised 6.6%
Fear 6.2%
Confused 5.6%
Angry 3.7%
Disgusted 0.9%
Happy 0.2%

AWS Rekognition

Age 42-50
Gender Female, 100%
Calm 44.8%
Happy 24.4%
Angry 10.2%
Surprised 8.9%
Fear 7%
Disgusted 6.1%
Confused 3.9%
Sad 3.5%

AWS Rekognition

Age 31-41
Gender Male, 99.9%
Calm 92.2%
Surprised 6.4%
Fear 6.1%
Sad 3%
Confused 2.5%
Happy 0.9%
Disgusted 0.5%
Angry 0.5%

AWS Rekognition

Age 18-26
Gender Male, 94.3%
Calm 95.8%
Surprised 6.5%
Fear 5.9%
Sad 3.2%
Confused 0.6%
Angry 0.2%
Disgusted 0.1%
Happy 0%

AWS Rekognition

Age 25-35
Gender Female, 99.9%
Disgusted 45.4%
Sad 17.5%
Calm 17%
Angry 13.7%
Surprised 6.8%
Fear 6.3%
Confused 4.7%
Happy 1.3%

AWS Rekognition

Age 23-31
Gender Male, 90.6%
Calm 63.9%
Sad 49.9%
Surprised 7.2%
Fear 6.2%
Happy 3.6%
Disgusted 1.8%
Angry 0.9%
Confused 0.6%

AWS Rekognition

Age 33-41
Gender Male, 99.8%
Calm 44.9%
Disgusted 28%
Surprised 27.4%
Fear 6.3%
Angry 3.5%
Sad 2.5%
Confused 1.1%
Happy 0.4%

AWS Rekognition

Age 39-47
Gender Female, 85.6%
Angry 50.1%
Surprised 39.5%
Calm 12.7%
Fear 6.9%
Confused 3.5%
Sad 3.1%
Disgusted 1.2%
Happy 0.8%

AWS Rekognition

Age 31-41
Gender Male, 95.9%
Calm 99.6%
Surprised 6.3%
Fear 5.9%
Sad 2.2%
Happy 0.1%
Confused 0.1%
Angry 0.1%
Disgusted 0%

AWS Rekognition

Age 20-28
Gender Male, 90.3%
Calm 99.5%
Surprised 6.3%
Fear 5.9%
Sad 2.2%
Disgusted 0.1%
Confused 0%
Happy 0%
Angry 0%

AWS Rekognition

Age 21-29
Gender Female, 100%
Calm 76.9%
Happy 10.4%
Surprised 7.9%
Fear 6.5%
Angry 3.3%
Sad 2.9%
Disgusted 2%
Confused 0.7%

AWS Rekognition

Age 13-21
Gender Female, 98.5%
Surprised 99%
Confused 10.6%
Fear 6.1%
Calm 2.8%
Sad 2.3%
Disgusted 0.6%
Angry 0.4%
Happy 0.1%

AWS Rekognition

Age 18-26
Gender Female, 97.7%
Fear 92.3%
Surprised 9%
Calm 7.7%
Happy 3.9%
Sad 2.6%
Disgusted 1.5%
Angry 1.5%
Confused 1.3%

AWS Rekognition

Age 14-22
Gender Female, 98.4%
Fear 96%
Surprised 7.5%
Calm 7.1%
Sad 2.3%
Angry 0.8%
Disgusted 0.4%
Confused 0.2%
Happy 0.1%

AWS Rekognition

Age 22-30
Gender Female, 72.1%
Fear 80.6%
Calm 23.7%
Surprised 9.6%
Sad 3.4%
Angry 3.4%
Confused 0.7%
Disgusted 0.6%
Happy 0.3%

AWS Rekognition

Age 6-14
Gender Male, 93.2%
Sad 80%
Calm 23.9%
Surprised 12.9%
Fear 10.1%
Angry 9.2%
Happy 8.7%
Disgusted 2.6%
Confused 1.2%

AWS Rekognition

Age 18-26
Gender Male, 99.4%
Calm 72.8%
Angry 14.2%
Surprised 8.2%
Fear 6.5%
Sad 3.9%
Disgusted 1.5%
Confused 1.4%
Happy 0.6%

AWS Rekognition

Age 23-33
Gender Female, 99.9%
Calm 92.6%
Surprised 6.7%
Fear 6%
Happy 3.8%
Sad 2.4%
Angry 0.9%
Disgusted 0.4%
Confused 0.3%

AWS Rekognition

Age 7-17
Gender Female, 79%
Calm 56%
Sad 52.5%
Surprised 8.5%
Fear 7.7%
Angry 3.3%
Happy 3.1%
Confused 1.1%
Disgusted 0.9%

AWS Rekognition

Age 9-17
Gender Male, 94.1%
Happy 83.7%
Fear 9%
Surprised 6.5%
Angry 3.1%
Calm 2.9%
Sad 2.4%
Confused 1.4%
Disgusted 0.7%

AWS Rekognition

Age 22-30
Gender Male, 55.8%
Sad 93.2%
Calm 49.2%
Surprised 6.5%
Fear 6.3%
Disgusted 2.3%
Angry 0.8%
Confused 0.5%
Happy 0.4%

AWS Rekognition

Age 6-12
Gender Female, 96.5%
Calm 66.8%
Fear 18.2%
Surprised 7.6%
Confused 4.6%
Angry 3.7%
Sad 2.8%
Happy 0.8%
Disgusted 0.8%

AWS Rekognition

Age 23-33
Gender Male, 96.7%
Calm 97%
Surprised 6.4%
Fear 6%
Sad 2.2%
Disgusted 1%
Confused 0.5%
Angry 0.5%
Happy 0.1%

Microsoft Cognitive Services

Age 28
Gender Male

Microsoft Cognitive Services

Age 26
Gender Male

Microsoft Cognitive Services

Age 47
Gender Female

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 98.6%
Child 98.6%
Female 98.6%
Girl 98.6%
Adult 98%
Male 98%
Man 98%
Bride 97.7%
Woman 97.7%
Shoe 93%
Jeans 65.9%

Text analysis

Amazon

Phi
Chini Stule- Phi
Chini
Stule-

Google

Chi Sticle-Phi
Chi
Sticle
-
Phi