Human Generated Data

Title

Races, Jews: United States. New Jersey. Woodbine. Baron de Hirsch Agricultural and Industrial School: Woodbine Settlement and School, Woodbine, N.J. Baron de Hirsch Fund.: 112. A Group of People on the Day of "Rejoicing in the Law".
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, 3.2002.3.4

Human Generated Data

Title

Races, Jews: United States. New Jersey. Woodbine. Baron de Hirsch Agricultural and Industrial School: Woodbine Settlement and School, Woodbine, N.J. Baron de Hirsch Fund.: 112. A Group of People on the Day of "Rejoicing in the Law".

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, 3.2002.3.4

Machine Generated Data

Tags

Amazon
created on 2019-06-05

Person 99.3
Human 99.3
Person 99.1
Person 98.9
Person 98.5
Military 98.1
Person 98
Military Uniform 97.8
Person 97.8
Army 95.1
Armored 95.1
People 95.1
Person 94.2
Person 93.1
Person 92.1
Person 88.2
Troop 86.1
Soldier 84.6
Person 82.8
Person 81.3
Person 81.3
Officer 79.6
Person 75.3
Person 74
Person 70.1
Fireman 69.7
Team 62.2
Crowd 56.9
Person 48.1

Clarifai
created on 2019-06-05

people 100
many 99.7
group 99.7
group together 99.3
adult 98.9
administration 97.6
leader 96.8
man 95.8
military 95.8
woman 95.7
war 94.4
several 93.8
outfit 91.9
wear 91.7
child 91.5
education 88.9
uniform 88.5
chair 87.8
soldier 86.4
recreation 83.5

Imagga
created on 2019-06-05

kin 35.2
military uniform 22.3
man 22.1
person 19.7
people 19.5
uniform 19.1
wind instrument 16.2
male 15.6
clothing 15
musical instrument 14.8
old 14.6
adult 12.8
brass 12.5
sax 11.7
summer 11.6
outdoor 11.5
trombone 11.2
protection 10.9
dark 10.8
dirty 10.8
silhouette 10.7
danger 10
family 9.8
couple 9.6
winter 9.3
relax 9.3
world 9.2
field 9.2
city 9.1
building 9.1
vintage 9.1
industrial 9.1
consumer goods 9
black 9
outdoors 8.9
sky 8.9
covering 8.9
destruction 8.8
love 8.7
happiness 8.6
beach 8.4
portrait 8.4
attractive 8.4
room 8.3
leisure 8.3
street 8.3
freedom 8.2
happy 8.1
suit 8.1
sunset 8.1
history 8
sexy 8
lifestyle 7.9
grass 7.9
day 7.8
architecture 7.8
toxic 7.8
art 7.8
sepia 7.8
nuclear 7.7
gas 7.7
grandfather 7.6
sport 7.4
group 7.2
sun 7.2
aged 7.2
mother 7
travel 7

Google
created on 2019-06-05

People 95.9
Team 72.7
History 67.6
Headgear 67.5
Family 61.8
Crew 56.9
Vintage clothing 54.7

Microsoft
created on 2019-06-05

person 99.7
military uniform 99
posing 98.7
clothing 97.9
group 97.1
outdoor 96.3
people 90.6
old 90.4
man 90
standing 89.6
funeral 65.5
team 36.9
dressed 34.1
clothes 30.5
crowd 0.8

Color Analysis

Face analysis

Amazon

Microsoft

Google

AWS Rekognition

Age 35-52
Gender Male, 54.4%
Surprised 45.2%
Disgusted 50.8%
Calm 45.4%
Confused 45.4%
Angry 47.1%
Sad 45.5%
Happy 45.6%

AWS Rekognition

Age 35-55
Gender Female, 52%
Surprised 45.1%
Sad 46.4%
Angry 52.7%
Happy 45.1%
Confused 45.1%
Disgusted 45.3%
Calm 45.2%

AWS Rekognition

Age 35-52
Gender Male, 54.8%
Angry 45.4%
Sad 45.8%
Surprised 45.4%
Confused 45.9%
Disgusted 45.7%
Calm 46.7%
Happy 50.2%

AWS Rekognition

Age 35-52
Gender Female, 52.1%
Calm 49.6%
Disgusted 48.9%
Happy 45.1%
Surprised 45.2%
Sad 45.4%
Angry 45.7%
Confused 45.1%

AWS Rekognition

Age 48-68
Gender Male, 53.2%
Happy 45.2%
Angry 47.2%
Calm 51.3%
Confused 45.3%
Disgusted 45.2%
Surprised 45.1%
Sad 45.7%

AWS Rekognition

Age 26-43
Gender Female, 51.3%
Calm 48.8%
Confused 45.4%
Disgusted 45.8%
Happy 45.2%
Angry 45.9%
Sad 48.5%
Surprised 45.4%

AWS Rekognition

Age 35-52
Gender Female, 52%
Disgusted 51.1%
Surprised 45.3%
Happy 45.9%
Calm 46.4%
Angry 45.7%
Confused 45.2%
Sad 45.4%

AWS Rekognition

Age 35-52
Gender Female, 53.5%
Confused 45.1%
Surprised 45.5%
Angry 52.6%
Calm 45.3%
Sad 45.6%
Happy 45.2%
Disgusted 45.8%

AWS Rekognition

Age 48-68
Gender Male, 54.7%
Disgusted 46%
Confused 45.8%
Calm 45.6%
Angry 48.2%
Happy 45.6%
Sad 48.7%
Surprised 45.2%

AWS Rekognition

Age 35-52
Gender Male, 54.4%
Calm 45.9%
Sad 45.1%
Angry 53.7%
Confused 45.1%
Happy 45%
Disgusted 45%
Surprised 45%

AWS Rekognition

Age 26-43
Gender Male, 50%
Happy 45.2%
Disgusted 45.3%
Confused 45.1%
Surprised 45.2%
Sad 45.4%
Angry 45.3%
Calm 53.5%

AWS Rekognition

Age 45-65
Gender Female, 50%
Disgusted 52.9%
Happy 45.3%
Confused 45.2%
Sad 45.1%
Calm 45.6%
Angry 45.7%
Surprised 45.1%

AWS Rekognition

Age 30-47
Gender Female, 51.8%
Surprised 45.9%
Disgusted 45.7%
Calm 47.4%
Confused 45.3%
Angry 46.6%
Sad 48.3%
Happy 45.8%

AWS Rekognition

Age 27-44
Gender Male, 52%
Calm 48.5%
Angry 48.3%
Happy 45.4%
Surprised 45.7%
Confused 45.5%
Disgusted 45.8%
Sad 45.8%

AWS Rekognition

Age 57-77
Gender Female, 50.1%
Sad 46.9%
Disgusted 50.3%
Angry 46.5%
Surprised 45.3%
Calm 45.3%
Confused 45.4%
Happy 45.4%

AWS Rekognition

Age 20-38
Gender Female, 54.9%
Confused 45.5%
Sad 45.6%
Happy 49%
Surprised 45.9%
Disgusted 47.6%
Calm 45.3%
Angry 46.1%

AWS Rekognition

Age 20-38
Gender Male, 52.9%
Surprised 45.3%
Sad 45.7%
Calm 52.9%
Confused 45.5%
Disgusted 45.1%
Happy 45.1%
Angry 45.4%

AWS Rekognition

Age 30-47
Gender Female, 51.9%
Confused 45.2%
Disgusted 45.8%
Sad 45.8%
Surprised 45.3%
Calm 51.8%
Angry 46%
Happy 45.1%

AWS Rekognition

Age 35-52
Gender Male, 53.5%
Confused 45%
Surprised 45%
Angry 45%
Calm 45%
Sad 45%
Happy 45%
Disgusted 54.9%

AWS Rekognition

Age 48-68
Gender Male, 52.2%
Angry 46.2%
Surprised 45.4%
Happy 45.7%
Disgusted 45.6%
Sad 46.5%
Confused 45.4%
Calm 50.2%

AWS Rekognition

Age 20-38
Gender Male, 51.2%
Angry 46.3%
Disgusted 49.2%
Sad 46.4%
Surprised 45.5%
Happy 45.8%
Calm 45.8%
Confused 45.9%

AWS Rekognition

Age 26-43
Gender Female, 54.1%
Angry 47.3%
Disgusted 49.2%
Sad 46.3%
Calm 46.1%
Happy 45.3%
Surprised 45.5%
Confused 45.3%

Microsoft Cognitive Services

Age 44
Gender Male

Microsoft Cognitive Services

Age 40
Gender Male

Microsoft Cognitive Services

Age 43
Gender Male

Microsoft Cognitive Services

Age 11
Gender Male

Microsoft Cognitive Services

Age 29
Gender Male

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

interior objects 79.2%
streetview architecture 19.3%

Text analysis

Amazon

EELANCEX
CGT EELANCEX
CGT

Google

ADIEFIANCE? ニンインバ。
ADIEFIANCE?
ニンインバ
。