Human Generated Data

Title

Untitled (large group portrait of men and women)

Date

c. 1950

People

Artist: C. Bennette Moore, American 1879 - 1939

Classification

Photographs

Credit Line

Harvard Art Museums/Fogg Museum, Transfer from the Carpenter Center for the Visual Arts, American Professional Photographers Collection, 4.2002.21743

Human Generated Data

Title

Untitled (large group portrait of men and women)

People

Artist: C. Bennette Moore, American 1879 - 1939

Date

c. 1950

Classification

Photographs

Credit Line

Harvard Art Museums/Fogg Museum, Transfer from the Carpenter Center for the Visual Arts, American Professional Photographers Collection, 4.2002.21743

Machine Generated Data

Tags

Amazon
created on 2022-03-11

Person 99.3
Human 99.3
Clothing 99.2
Apparel 99.2
Chair 98.3
Furniture 98.3
Person 98.2
Person 97.7
Person 97.5
Face 97.4
Person 96.5
Indoors 91
Person 90.3
Table 89.1
Person 89
Room 85.5
Shorts 85.4
Person 85.2
Meal 84.2
Food 84.2
Dress 81.8
Suit 81.7
Coat 81.7
Overcoat 81.7
Person 80.6
Tie 78.4
Accessories 78.4
Accessory 78.4
Crowd 76.3
Shirt 75.8
Person 73.4
Dining Table 72.2
Portrait 71.8
Photography 71.8
Photo 71.8
Female 71.7
People 70.7
Head 70
Tie 69.9
Person 69.8
Icing 69.4
Dessert 69.4
Cake 69.4
Cream 69.4
Creme 69.4
Kid 68.5
Child 68.5
Tie 65.8
Man 65.6
Person 64.9
Outdoors 64.8
Bed 63.7
Sleeve 59.2
Woman 56.3
Audience 56.1
Bedroom 55.8
Boy 55.8
Nature 55.7
Desk 55.4

Clarifai
created on 2023-10-22

people 99.9
group 99.8
many 99.3
education 98.3
group together 97.4
adult 96.7
school 96
woman 95.9
man 95
child 93.2
leader 89.9
teacher 88.4
uniform 84.7
elementary school 77.6
league 75.6
wear 75.3
several 73.9
audience 73
portrait 72.2
boy 70.9

Imagga
created on 2022-03-11

brass 76
wind instrument 59
musical instrument 39.3
man 37
cornet 36.2
person 35.6
people 33.4
businessman 31.7
male 30.5
business 27.3
adult 23.3
team 23.3
group 21.7
men 21.4
nurse 20
room 19.5
professional 19
meeting 18.8
happy 18.8
job 16.8
smiling 16.6
student 16.5
worker 16.1
women 15.8
couple 15.7
businesswoman 15.4
office 15.2
work 14.9
teamwork 14.8
indoors 14
education 13.8
table 13.8
success 13.7
suit 13.5
teacher 13.1
portrait 12.9
two 12.7
together 12.3
corporate 12
happiness 11.7
classroom 11.7
lifestyle 11.6
businesspeople 11.4
cheerful 11.4
desk 11.3
executive 11.3
senior 11.2
smile 10.7
new 10.5
manager 10.2
mature 10.2
school 10
blackboard 10
hospital 10
colleagues 9.7
medical 9.7
30s 9.6
boy 9.6
successful 9.1
holding 9.1
interior 8.8
conference 8.8
40s 8.8
staff 8.7
baritone 8.6
sitting 8.6
modern 8.4
old 8.4
hand 8.3
child 8.3
inside 8.3
working 7.9
patient 7.9
standing 7.8
employee 7.8
class 7.7
husband 7.6
doctor 7.5
camera 7.4
occupation 7.3
indoor 7.3
looking 7.2
handsome 7.1
idea 7.1
family 7.1

Google
created on 2022-03-11

Black 89.6
Style 83.8
Black-and-white 83.1
Font 77.1
Crew 76.2
Uniform 73.4
Event 73.4
Monochrome photography 72.1
Monochrome 71.7
Vintage clothing 70.2
Room 69.4
Team 67.9
History 67.5
Class 66.1
Stock photography 62.4
T-shirt 54.7
Child 53.4
Family 52.3
School 50.1

Microsoft
created on 2022-03-11

person 95.7
text 92.8
clothing 87.8
posing 69.8
woman 69.7
old 57.4

Color Analysis

Face analysis

Amazon

Google

AWS Rekognition

Age 45-51
Gender Female, 67.7%
Calm 43.8%
Happy 39.1%
Sad 7.6%
Confused 3.7%
Surprised 2.4%
Disgusted 1.8%
Fear 1%
Angry 0.7%

AWS Rekognition

Age 39-47
Gender Male, 54.4%
Calm 94%
Angry 3.7%
Happy 0.7%
Sad 0.7%
Confused 0.3%
Surprised 0.3%
Disgusted 0.2%
Fear 0.1%

AWS Rekognition

Age 37-45
Gender Male, 98.7%
Sad 99.1%
Confused 0.7%
Calm 0.1%
Happy 0%
Disgusted 0%
Angry 0%
Surprised 0%
Fear 0%

AWS Rekognition

Age 38-46
Gender Female, 70.2%
Happy 47.6%
Calm 40.6%
Surprised 10.1%
Confused 0.5%
Disgusted 0.5%
Sad 0.3%
Angry 0.2%
Fear 0.2%

AWS Rekognition

Age 34-42
Gender Female, 71.9%
Happy 93.6%
Calm 5.6%
Sad 0.3%
Confused 0.2%
Disgusted 0.1%
Surprised 0.1%
Fear 0.1%
Angry 0%

AWS Rekognition

Age 35-43
Gender Male, 100%
Calm 49.5%
Happy 30.7%
Sad 11.5%
Confused 2.7%
Surprised 2.6%
Disgusted 1.6%
Angry 0.8%
Fear 0.7%

AWS Rekognition

Age 24-34
Gender Male, 70.2%
Calm 62.9%
Happy 26.4%
Sad 9.8%
Confused 0.4%
Disgusted 0.2%
Surprised 0.1%
Angry 0.1%
Fear 0.1%

AWS Rekognition

Age 38-46
Gender Male, 98.8%
Calm 87.1%
Sad 4.9%
Surprised 3%
Confused 2.2%
Disgusted 1.1%
Happy 0.8%
Angry 0.6%
Fear 0.3%

AWS Rekognition

Age 27-37
Gender Female, 60.1%
Calm 66.3%
Sad 28.5%
Happy 2.1%
Angry 0.8%
Surprised 0.6%
Disgusted 0.6%
Confused 0.6%
Fear 0.4%

AWS Rekognition

Age 39-47
Gender Female, 97%
Sad 65.3%
Happy 16.4%
Calm 12.5%
Fear 2.5%
Surprised 1.2%
Confused 1.1%
Angry 0.6%
Disgusted 0.5%

AWS Rekognition

Age 37-45
Gender Female, 56.5%
Happy 88.4%
Disgusted 5.1%
Surprised 1.7%
Calm 1.3%
Sad 1.2%
Fear 0.9%
Angry 0.7%
Confused 0.6%

AWS Rekognition

Age 38-46
Gender Male, 99.6%
Happy 45.1%
Calm 19.4%
Confused 18.5%
Sad 6.5%
Surprised 4.7%
Disgusted 2.9%
Fear 1.9%
Angry 1.2%

AWS Rekognition

Age 34-42
Gender Male, 99.8%
Happy 86.8%
Surprised 5.8%
Disgusted 2.5%
Calm 2.1%
Confused 1.1%
Angry 0.7%
Sad 0.6%
Fear 0.5%

AWS Rekognition

Age 31-41
Gender Male, 96.4%
Calm 85.4%
Happy 10.1%
Sad 1.9%
Confused 0.9%
Surprised 0.6%
Angry 0.5%
Disgusted 0.4%
Fear 0.2%

AWS Rekognition

Age 48-54
Gender Female, 60.2%
Happy 97.7%
Calm 0.8%
Surprised 0.4%
Sad 0.4%
Disgusted 0.2%
Fear 0.2%
Confused 0.2%
Angry 0.1%

AWS Rekognition

Age 54-62
Gender Female, 59.1%
Happy 98.4%
Sad 0.6%
Calm 0.3%
Surprised 0.3%
Confused 0.1%
Fear 0.1%
Disgusted 0.1%
Angry 0.1%

AWS Rekognition

Age 31-41
Gender Male, 99.4%
Calm 92.8%
Sad 2.2%
Confused 2.1%
Happy 1.8%
Fear 0.4%
Surprised 0.3%
Angry 0.3%
Disgusted 0.2%

AWS Rekognition

Age 40-48
Gender Male, 56.1%
Calm 81.9%
Happy 11.4%
Disgusted 1.9%
Sad 1.6%
Confused 1.3%
Surprised 1.1%
Fear 0.5%
Angry 0.4%

AWS Rekognition

Age 22-30
Gender Male, 99.9%
Sad 93.4%
Happy 2.4%
Confused 1.8%
Calm 1.8%
Disgusted 0.2%
Angry 0.2%
Fear 0.1%
Surprised 0.1%

AWS Rekognition

Age 39-47
Gender Male, 99.7%
Calm 90.5%
Sad 6%
Disgusted 0.7%
Happy 0.7%
Confused 0.6%
Surprised 0.6%
Angry 0.5%
Fear 0.4%

AWS Rekognition

Age 37-45
Gender Male, 99.9%
Calm 49.4%
Surprised 18.3%
Angry 9.1%
Sad 7.3%
Confused 7.3%
Happy 4.2%
Fear 2.3%
Disgusted 2.2%

AWS Rekognition

Age 35-43
Gender Male, 99.9%
Calm 82.2%
Sad 4.9%
Disgusted 2.8%
Angry 2.6%
Surprised 2.3%
Happy 2.1%
Confused 1.9%
Fear 1.1%

AWS Rekognition

Age 38-46
Gender Male, 99.6%
Happy 83.3%
Calm 11.3%
Surprised 2.4%
Angry 1.1%
Sad 0.8%
Disgusted 0.5%
Confused 0.4%
Fear 0.2%

AWS Rekognition

Age 23-31
Gender Female, 96.7%
Calm 86.7%
Sad 9.5%
Confused 2.1%
Angry 0.7%
Happy 0.4%
Disgusted 0.3%
Surprised 0.2%
Fear 0.1%

AWS Rekognition

Age 24-34
Gender Male, 99.4%
Calm 74.6%
Sad 11.8%
Disgusted 3.3%
Confused 3.1%
Angry 2.9%
Happy 1.6%
Surprised 1.5%
Fear 1.2%

AWS Rekognition

Age 30-40
Gender Male, 98.9%
Sad 43.9%
Happy 29.2%
Confused 16.2%
Calm 4%
Disgusted 2.9%
Surprised 1.7%
Angry 1.2%
Fear 0.8%

AWS Rekognition

Age 36-44
Gender Male, 95.7%
Calm 49.4%
Confused 17.1%
Sad 9.1%
Surprised 7.9%
Happy 6.7%
Angry 3.9%
Disgusted 3.5%
Fear 2.3%

AWS Rekognition

Age 31-41
Gender Female, 81.7%
Happy 96.7%
Sad 1%
Calm 1%
Confused 0.4%
Angry 0.3%
Surprised 0.2%
Disgusted 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 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 Unlikely

Google Vision

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

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 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 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
Tie
Person 99.3%
Person 98.2%
Person 97.7%
Person 97.5%
Person 96.5%
Person 90.3%
Person 89%
Person 85.2%
Person 80.6%
Person 73.4%
Person 69.8%
Person 64.9%
Tie 78.4%
Tie 69.9%
Tie 65.8%

Categories

Text analysis

Amazon

VT77002
ДЛА
YANOY