Human Generated Data

Title

Untitled (group portrait of girl scouts in uniform with two older women)
Date

1950-1955
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, 4.2002.6585

Human Generated Data

Title

Untitled (group portrait of girl scouts in uniform with two older women)

People

Artist: Orrion Barger, American active 1913 - 1984

Date

1950-1955

Classification

Photographs

Credit Line

Harvard Art Museums/Fogg Museum, Transfer from the Carpenter Center for the Visual Arts, American Professional Photographers Collection, 4.2002.6585

Machine Generated Data

Tags

Amazon
created on 2019-03-26

Person 99.2
Human 99.2
Person 99.2
Helmet 98.8
Clothing 98.8
Apparel 98.8
Helmet 98.5
Helmet 98.2
Person 97.5
Person 97
Helmet 96.4
Helmet 95.5
Person 95.1
Person 94.2
Helmet 93.9
Person 93.2
Helmet 91.3
Person 91.2
Person 90.2
Person 89.1
Person 88.6
Helmet 88.4
Person 87.5
Helmet 85.6
Doctor 85.4
Person 85.2
Person 84.6
Person 83.7
Person 83
Helmet 81.5
Person 79.4
Helmet 78.4
Helmet 76.8
Person 76.1
Sunglasses 75.4
Accessories 75.4
Accessory 75.4
Person 74.2
Helmet 72.5
Helmet 64.6
Clinic 61
People 60.9
Helmet 60.8
Scientist 57.7
Nurse 56.3

Clarifai
created on 2019-03-26

people 99.3
portrait 97.9
man 97.4
adult 96.9
group 96.5
child 96.2
group together 95.6
many 94.5
woman 93.7
retro 85.7
education 85.7
indoors 84.9
music 84
boy 81.9
conformity 81.5
vertical 81
crowd 80.8
monochrome 80.3
fun 80.1
facial expression 79

Imagga
created on 2019-03-26

gymnasium 22
brass 19.7
dance 17.5
people 17.3
moon 16.9
athletic facility 16.8
happy 15.6
perfume 14.8
art 14.8
wind instrument 14.2
happiness 14.1
pretty 13.3
black 13.2
facility 13.2
3d 13.1
group 12.9
fashion 12.8
glass 12.5
sexy 12
party 12
body 12
attractive 11.9
women 11.8
anatomy 11.6
person 11.5
medical 11.5
human 11.2
celebration 11.1
hair 11.1
ball 11.1
science 10.7
fun 10.5
toiletry 10.4
men 10.3
decoration 10.2
creation 9.8
health 9.7
musical instrument 9.7
man 9.5
smiling 9.4
holiday 9.3
male 9.2
reflection 9.1
girls 9.1
hand 9.1
portrait 9
cheerful 8.9
style 8.9
disco 8.9
cute 8.6
smile 8.5
bugle 8.5
adult 8.5
joy 8.3
planet 8
cornet 7.9
model 7.8
modern 7.7
biology 7.6
arm 7.6
amulet 7.5
friendship 7.5
figure 7.4
festive 7.4
joyful 7.3
graphic 7.3
night 7.1
cap 7

Google
created on 2019-03-26

Team 98.1
Crew 73.3
Photography 62.4
Collection 52.1

Microsoft
created on 2019-03-26

person 97.1
posing 97
player 76
group 65.5
team 65.5
female 25.3
ballet 25.3
sport 11.7
school 3.7

Color Analysis

Face analysis

Amazon

AWS Rekognition

Age 23-38
Gender Male, 54.3%
Disgusted 45.5%
Sad 45.7%
Surprised 45.6%
Calm 50.4%
Confused 45.3%
Angry 45.3%
Happy 47.1%

AWS Rekognition

Age 26-44
Gender Male, 50.2%
Surprised 45.3%
Angry 45.1%
Disgusted 45.2%
Sad 45.4%
Happy 45.5%
Calm 53.3%
Confused 45.2%

AWS Rekognition

Age 35-52
Gender Male, 54%
Happy 48.5%
Disgusted 45.6%
Sad 45.5%
Angry 45.5%
Confused 45.5%
Surprised 45.9%
Calm 48.5%

AWS Rekognition

Age 20-38
Gender Female, 51.2%
Calm 50.7%
Disgusted 45.2%
Sad 45.8%
Confused 45.2%
Happy 46.9%
Surprised 45.8%
Angry 45.4%

AWS Rekognition

Age 11-18
Gender Female, 52.9%
Disgusted 45.1%
Happy 51.9%
Angry 45.1%
Sad 47.5%
Calm 45.2%
Confused 45.1%
Surprised 45.2%

AWS Rekognition

Age 23-38
Gender Male, 54.5%
Sad 46.1%
Angry 45.4%
Disgusted 45.1%
Calm 52%
Surprised 45.4%
Confused 45.3%
Happy 45.8%

AWS Rekognition

Age 27-44
Gender Female, 51.8%
Happy 45.5%
Sad 47.7%
Calm 50.6%
Angry 45.3%
Confused 45.2%
Disgusted 45.2%
Surprised 45.4%

AWS Rekognition

Age 29-45
Gender Female, 50.4%
Confused 45.2%
Angry 45.2%
Surprised 45.1%
Happy 45.3%
Calm 53.5%
Disgusted 45%
Sad 45.6%

AWS Rekognition

Age 26-43
Gender Male, 51.7%
Confused 45.3%
Angry 45.5%
Surprised 45.5%
Sad 46.1%
Disgusted 45.1%
Happy 46.9%
Calm 50.6%

AWS Rekognition

Age 26-43
Gender Female, 50.1%
Sad 45.4%
Happy 45.2%
Angry 45.2%
Disgusted 45.1%
Confused 45.1%
Calm 53.8%
Surprised 45.2%

AWS Rekognition

Age 57-77
Gender Male, 54.9%
Angry 45.2%
Sad 45.1%
Happy 47.4%
Calm 51.6%
Disgusted 45.1%
Surprised 45.3%
Confused 45.2%

AWS Rekognition

Age 35-52
Gender Female, 52.3%
Angry 45.1%
Disgusted 45%
Confused 45%
Surprised 45.1%
Sad 45.2%
Happy 54.4%
Calm 45.2%

AWS Rekognition

Age 11-18
Gender Male, 53%
Disgusted 45.3%
Surprised 45.6%
Confused 45.4%
Angry 45.4%
Sad 49.4%
Calm 46.2%
Happy 47.8%

AWS Rekognition

Age 23-38
Gender Female, 50.3%
Sad 46.2%
Calm 50.3%
Confused 45.4%
Surprised 45.5%
Angry 45.6%
Disgusted 45.4%
Happy 46.6%

AWS Rekognition

Age 26-43
Gender Male, 52%
Angry 45.1%
Calm 54%
Happy 45%
Surprised 45.1%
Sad 45.7%
Disgusted 45.1%
Confused 45.1%

AWS Rekognition

Age 17-27
Gender Female, 50%
Disgusted 45.1%
Sad 46%
Surprised 46%
Calm 52.2%
Happy 45.2%
Confused 45.3%
Angry 45.2%

AWS Rekognition

Age 11-18
Gender Female, 50.2%
Sad 49.2%
Disgusted 45.1%
Happy 46%
Angry 45.4%
Confused 45.3%
Calm 48.7%
Surprised 45.2%

AWS Rekognition

Age 26-43
Gender Male, 53.2%
Happy 45.9%
Calm 52%
Sad 46.1%
Angry 45.3%
Surprised 45.4%
Disgusted 45.2%
Confused 45.2%

AWS Rekognition

Age 26-43
Gender Male, 52.5%
Calm 53.4%
Happy 45.3%
Sad 45.5%
Angry 45.2%
Disgusted 45.1%
Confused 45.2%
Surprised 45.4%

Feature analysis

Amazon

Person 99.2%
Helmet 98.8%
Sunglasses 75.4%

Text analysis

Amazon

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