Human Generated Data

Title

Untitled (group portrait of young schoolchildren with teacher)
Date

1952-1953
People

Artist: Orrion Barger, American active 1913 - 1984
Classification

Photographs
Credit Line

Harvard Art Museums/Fogg Museum, Transfer from the Carpenter Center for the Visual Arts, American Professional Photographers Collection, 4.2002.6577

Human Generated Data

Title

Untitled (group portrait of young schoolchildren with teacher)

People

Artist: Orrion Barger, American active 1913 - 1984

Date

1952-1953

Classification

Photographs

Credit Line

Harvard Art Museums/Fogg Museum, Transfer from the Carpenter Center for the Visual Arts, American Professional Photographers Collection, 4.2002.6577

Machine Generated Data

Tags

Amazon
created on 2019-03-26

Person 99.6
Human 99.6
Clothing 99.5
Apparel 99.5
Person 99.3
Person 99.2
Person 98.8
Person 98.7
Person 98.4
Person 98.3
Helmet 98.2
Person 97
Shorts 96.3
Helmet 96.2
Person 96
Face 96
Helmet 95.6
Person 94.9
Helmet 93.7
Smile 91.6
Person 91.1
Person 89
Person 85.9
Person 85.7
Chair 84.3
Furniture 84.3
Footwear 82.4
Shoe 82.4
Accessory 80.4
Accessories 80.4
Sunglasses 80.4
Person 79.6
Shoe 79.4
Female 79.1
Kid 77.9
Child 77.9
Dress 77.6
People 72.9
Crowd 70.2
Photography 69.6
Portrait 69.6
Photo 69.6
Girl 66.7
Helmet 66.1
Helmet 63.6
Shoe 61.3
Person 58.9
Head 58.3
Sailor Suit 58.1
Shoe 57.6
Lip 57.4
Mouth 57.4
Teeth 57.4
Cream 56.4
Icing 56.4
Food 56.4
Cake 56.4
Dessert 56.4
Creme 56.4
Sunglasses 50.2

Clarifai
created on 2019-03-26

people 99.7
group 98.7
group together 98.6
portrait 97.9
child 97.8
adult 96.1
man 95.4
many 95.1
woman 93.6
wear 92.1
facial expression 89.8
boy 89.3
leader 88.3
education 87.8
music 87.2
son 85.7
several 85.2
outfit 85.1
uniform 83.2
retro 82.8

Imagga
created on 2019-03-26

brass 100
wind instrument 100
musical instrument 71.5
baritone 62.2
bugle 54
people 27.3
group 21.7
cornet 21.4
men 18
music 15.8
man 14.8
happy 14.4
women 14.2
person 14.2
adult 13.6
team 13.4
portrait 12.9
male 12.7
crowd 12.5
silhouette 12.4
device 12.1
party 12
sport 11.6
happiness 10.9
fun 9.7
trombone 9.4
friendship 9.3
ball 9.2
girls 9.1
exercise 9.1
fitness 9
black 9
active 9
businessman 8.8
celebration 8.8
business 8.5
power 8.4
event 8.3
city 8.3
human 8.2
competition 8.2
cheerful 8.1
body 8
together 7.9
3d 7.7
world 7.6
fashion 7.5
joy 7.5
entertainment 7.4
light 7.3
lifestyle 7.2
dance 7.1

Google
created on 2019-03-26

Team 95.8
Social group 92.7
Crew 52.6

Microsoft
created on 2019-03-26

person 99.3
posing 97.6
group 77.8
ballet 77.8

Color Analysis

Face analysis

Amazon

AWS Rekognition

Age 26-44
Gender Male, 54.6%
Disgusted 45.2%
Confused 45.3%
Sad 45.4%
Happy 47.8%
Surprised 45.5%
Calm 50.6%
Angry 45.3%

AWS Rekognition

Age 20-38
Gender Male, 54.5%
Disgusted 45%
Angry 45.1%
Calm 54%
Surprised 45.2%
Sad 45.5%
Happy 45.1%
Confused 45.1%

AWS Rekognition

Age 35-52
Gender Male, 54.2%
Sad 45.2%
Happy 49.1%
Calm 49.5%
Angry 45.2%
Surprised 45.6%
Disgusted 45.1%
Confused 45.3%

AWS Rekognition

Age 26-43
Gender Female, 50.4%
Confused 45.2%
Surprised 45.3%
Sad 50.9%
Disgusted 45.1%
Happy 45.3%
Calm 48%
Angry 45.2%

AWS Rekognition

Age 26-43
Gender Female, 50.4%
Calm 47.9%
Disgusted 45.1%
Confused 45.1%
Happy 45.3%
Surprised 45.2%
Angry 45.3%
Sad 51.1%

AWS Rekognition

Age 14-23
Gender Female, 51.3%
Disgusted 45.1%
Surprised 45.5%
Confused 45.2%
Calm 49.6%
Happy 48.8%
Angry 45.2%
Sad 45.7%

AWS Rekognition

Age 30-47
Gender Male, 54.5%
Confused 45.6%
Angry 45.6%
Surprised 45.5%
Disgusted 45.3%
Calm 51.2%
Happy 45.3%
Sad 46.6%

AWS Rekognition

Age 16-27
Gender Male, 51.2%
Angry 45.3%
Sad 45.4%
Happy 51%
Calm 47.9%
Disgusted 45%
Surprised 45.3%
Confused 45.1%

AWS Rekognition

Age 23-38
Gender Female, 52.1%
Confused 45.2%
Happy 46.4%
Sad 45.5%
Surprised 45.3%
Angry 45.2%
Disgusted 45.1%
Calm 52.3%

AWS Rekognition

Age 11-18
Gender Male, 53.6%
Calm 51.7%
Happy 45.6%
Sad 46.2%
Angry 45.4%
Disgusted 45.2%
Confused 45.5%
Surprised 45.5%

AWS Rekognition

Age 20-38
Gender Female, 53.8%
Sad 48.1%
Angry 45.2%
Happy 45.8%
Disgusted 45.2%
Surprised 45.5%
Confused 45.2%
Calm 50%

AWS Rekognition

Age 20-38
Gender Female, 53.7%
Calm 49.3%
Happy 47.8%
Angry 45.2%
Disgusted 45.1%
Confused 45.1%
Sad 47.2%
Surprised 45.4%

AWS Rekognition

Age 35-52
Gender Male, 54.2%
Disgusted 45.2%
Surprised 45.5%
Calm 51.5%
Happy 47%
Sad 45.3%
Confused 45.3%
Angry 45.3%

AWS Rekognition

Age 26-43
Gender Male, 50.4%
Sad 45.9%
Happy 51.1%
Angry 45.4%
Disgusted 45.3%
Confused 45.4%
Calm 46.2%
Surprised 45.7%

AWS Rekognition

Age 20-38
Gender Female, 50.4%
Disgusted 45.5%
Calm 50.5%
Confused 45.2%
Sad 47.3%
Happy 45.9%
Surprised 45.3%
Angry 45.4%

AWS Rekognition

Age 20-38
Gender Female, 54.5%
Disgusted 45.8%
Calm 46.7%
Confused 45.5%
Sad 46.8%
Happy 48.1%
Surprised 46.5%
Angry 45.7%

AWS Rekognition

Age 23-38
Gender Female, 51.6%
Surprised 45.2%
Angry 45.1%
Disgusted 45%
Happy 54.1%
Sad 45.3%
Confused 45.1%
Calm 45.1%

Feature analysis

Amazon

Person 99.6%
Helmet 98.2%
Shoe 82.4%
Sunglasses 80.4%