Human Generated Data

Title

Social Settlements: France. Paris. L'Union Familiale: L'Union Familiale, Paris, France: 172 rue de Charonne.: Kindergarten class

Date

c. 1903

People

Artist: Unidentified Artist,

Classification

Photographs

Credit Line

Harvard Art Museums/Fogg Museum, Transfer from the Carpenter Center for the Visual Arts, Social Museum Collection, 3.2002.2647.1

Human Generated Data

Title

Social Settlements: France. Paris. L'Union Familiale: L'Union Familiale, Paris, France: 172 rue de Charonne.: Kindergarten class

People

Artist: Unidentified Artist,

Date

c. 1903

Classification

Photographs

Credit Line

Harvard Art Museums/Fogg Museum, Transfer from the Carpenter Center for the Visual Arts, Social Museum Collection, 3.2002.2647.1

Machine Generated Data

Tags

Amazon
created on 2019-06-04

Human 99.3
Person 99.3
Room 99.3
Indoors 99.3
School 99.3
Classroom 99.3
Person 99.3
Person 99
Person 98.5
Person 98.1
Person 97
Person 96.9
Person 96.6
Person 95.8
Person 93.2
Person 92.5
Person 91.4
Person 87.7
Person 84.9
Person 77.5
Person 74.7
Person 72.7
Person 72.4
Person 68.6
People 64

Clarifai
created on 2019-06-04

people 100
group 99.6
child 99.4
many 99
adult 98.2
group together 96.2
education 94.8
wear 94.4
boy 94.4
woman 93.1
school 89.4
room 89.1
man 89
recreation 88.5
sit 88.2
administration 88.2
elementary school 87.6
instrument 87.5
several 87
furniture 86.2

Imagga
created on 2019-06-04

brass 41.9
wind instrument 31.8
kin 28.1
musical instrument 23.6
person 20.6
man 20.1
grunge 18.7
old 18.1
decoration 17.2
people 16.7
art 15.8
world 14.7
antique 13.8
vintage 13.2
retro 13.1
male 12.8
aged 12.7
black 12.6
planner 11.2
men 11.2
adult 10.9
ancient 10.4
dirty 9.9
child 9.8
portrait 9.7
play 9.5
poster 9.4
dark 9.2
dress 9
style 8.9
room 8.6
human 8.2
team 8.1
graphic 8
family 8
design 7.9
sepia 7.8
war 7.7
mask 7.7
texture 7.6
player 7.5
pattern 7.5
sport 7.5
creativity 7.4
paint 7.2
religion 7.2
interior 7.1
businessman 7.1
paper 7
modern 7

Google
created on 2019-06-04

Microsoft
created on 2019-06-04

clothing 96.6
person 95.6
old 90.6
group 83.7
posing 82.7
human face 63.2
woman 62.4
crowd 0.8

Color Analysis

Face analysis

Amazon

Microsoft

Google

AWS Rekognition

Age 4-9
Gender Male, 52.1%
Sad 54.1%
Confused 45%
Angry 45.7%
Happy 45%
Calm 45.1%
Surprised 45%
Disgusted 45%

AWS Rekognition

Age 4-9
Gender Female, 50.7%
Confused 45.3%
Angry 45.4%
Happy 45.3%
Sad 50.6%
Disgusted 45.1%
Surprised 45.2%
Calm 48.2%

AWS Rekognition

Age 10-15
Gender Female, 54%
Happy 45%
Calm 53.5%
Confused 45.2%
Disgusted 45%
Surprised 45.1%
Angry 45.2%
Sad 46%

AWS Rekognition

Age 9-14
Gender Female, 54.6%
Disgusted 45.3%
Calm 48.3%
Surprised 45.8%
Sad 49.5%
Confused 45.3%
Angry 45.4%
Happy 45.4%

AWS Rekognition

Age 4-9
Gender Female, 53.7%
Disgusted 45%
Sad 54.3%
Surprised 45.1%
Calm 45.2%
Angry 45.2%
Happy 45%
Confused 45.1%

AWS Rekognition

Age 6-13
Gender Male, 50.3%
Calm 46.9%
Angry 45.2%
Confused 45.2%
Sad 46.3%
Happy 45.1%
Disgusted 45.1%
Surprised 51.3%

AWS Rekognition

Age 11-18
Gender Female, 51.9%
Sad 54.4%
Confused 45%
Calm 45.5%
Disgusted 45%
Happy 45%
Angry 45%
Surprised 45%

AWS Rekognition

Age 4-7
Gender Female, 54.8%
Disgusted 45%
Surprised 45.1%
Confused 45%
Sad 54.8%
Angry 45%
Calm 45%
Happy 45.1%

AWS Rekognition

Age 4-7
Gender Female, 53.6%
Calm 50.4%
Confused 45%
Sad 49.3%
Angry 45.1%
Happy 45.1%
Disgusted 45%
Surprised 45.1%

AWS Rekognition

Age 4-9
Gender Female, 54.1%
Confused 45%
Calm 45.9%
Angry 45%
Sad 53.9%
Happy 45.1%
Disgusted 45%
Surprised 45%

AWS Rekognition

Age 10-15
Gender Female, 51.5%
Confused 45.1%
Disgusted 45%
Happy 45%
Calm 45.1%
Surprised 45%
Sad 54.7%
Angry 45.1%

AWS Rekognition

Age 23-38
Gender Female, 54.7%
Confused 45.3%
Surprised 45.2%
Calm 46.8%
Angry 45.1%
Disgusted 45%
Happy 45.1%
Sad 52.5%

AWS Rekognition

Age 4-9
Gender Female, 54.9%
Sad 47.6%
Confused 46.1%
Angry 45.7%
Surprised 47.1%
Happy 46.1%
Calm 46.4%
Disgusted 46%

AWS Rekognition

Age 10-15
Gender Female, 54.5%
Confused 45%
Calm 45%
Disgusted 45%
Happy 45%
Angry 45%
Sad 55%
Surprised 45%

AWS Rekognition

Age 4-9
Gender Female, 53.3%
Disgusted 45.1%
Confused 45.4%
Angry 45.4%
Calm 45.9%
Surprised 45.2%
Happy 45.1%
Sad 53%

AWS Rekognition

Age 20-38
Gender Female, 50.2%
Confused 45%
Disgusted 45%
Happy 45%
Calm 45.2%
Surprised 45%
Sad 54.5%
Angry 45.2%

AWS Rekognition

Age 10-15
Gender Female, 54.7%
Happy 45.2%
Disgusted 45.3%
Confused 45.1%
Angry 45.1%
Surprised 45.1%
Sad 53.2%
Calm 46.1%

AWS Rekognition

Age 14-25
Gender Female, 52.2%
Sad 51.7%
Confused 45%
Angry 48.1%
Happy 45%
Calm 45%
Surprised 45%
Disgusted 45.1%

AWS Rekognition

Age 17-27
Gender Male, 53.9%
Confused 45.2%
Happy 50.3%
Angry 45.2%
Sad 45.4%
Calm 48.3%
Disgusted 45.2%
Surprised 45.3%

AWS Rekognition

Age 4-9
Gender Female, 54.8%
Angry 45%
Disgusted 45%
Sad 55%
Confused 45%
Happy 45%
Surprised 45%
Calm 45%

AWS Rekognition

Age 17-27
Gender Female, 53.8%
Disgusted 45.3%
Confused 45.2%
Angry 45.2%
Sad 46.2%
Surprised 45.2%
Happy 45.2%
Calm 52.6%

AWS Rekognition

Age 4-9
Gender Female, 52.7%
Sad 54.9%
Disgusted 45%
Confused 45%
Angry 45%
Happy 45%
Surprised 45%
Calm 45%

AWS Rekognition

Age 15-25
Gender Female, 54.3%
Sad 47.2%
Disgusted 45.3%
Confused 45.5%
Angry 45.3%
Happy 45.8%
Surprised 49.5%
Calm 46.5%

AWS Rekognition

Age 16-27
Gender Female, 54.9%
Angry 45%
Happy 45.1%
Disgusted 45.1%
Confused 45.1%
Surprised 45%
Sad 54.4%
Calm 45.3%

AWS Rekognition

Age 26-43
Gender Female, 54.6%
Disgusted 45.1%
Confused 45.1%
Happy 45.1%
Calm 45.4%
Surprised 45.1%
Sad 54%
Angry 45.2%

AWS Rekognition

Age 20-38
Gender Female, 54.6%
Confused 45.1%
Disgusted 45%
Happy 45%
Calm 45.4%
Surprised 45%
Sad 54.4%
Angry 45%

AWS Rekognition

Age 19-36
Gender Female, 53.1%
Sad 53.3%
Surprised 45%
Angry 45.1%
Disgusted 45%
Confused 45.1%
Happy 45%
Calm 46.4%

AWS Rekognition

Age 20-38
Gender Female, 52.4%
Confused 45.2%
Calm 47%
Happy 45.1%
Surprised 45.2%
Sad 51.6%
Angry 45.7%
Disgusted 45.1%

AWS Rekognition

Age 30-47
Gender Female, 52%
Happy 49%
Surprised 45.2%
Angry 45.2%
Sad 45.7%
Confused 45.2%
Disgusted 45.1%
Calm 49.7%

Microsoft Cognitive Services

Age 4
Gender Female

Microsoft Cognitive Services

Age 22
Gender Male

Microsoft Cognitive Services

Age 12
Gender Male

Microsoft Cognitive Services

Age 10
Gender Female

Microsoft Cognitive Services

Age 4
Gender Male

Microsoft Cognitive Services

Age 9
Gender Female

Microsoft Cognitive Services

Age 7
Gender Female

Microsoft Cognitive Services

Age 9
Gender Female

Microsoft Cognitive Services

Age 5
Gender Female

Microsoft Cognitive Services

Age 26
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

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 99.3%

Categories

Imagga

people portraits 92.1%
events parties 7.5%

Text analysis

Amazon

E

Google

EVIAN 1st
EVIAN
1st