Human Generated Data

Title

Miscellaneous: Training for general manufactures ?: (?) out ?

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, 3.2002.3353.5

Human Generated Data

Title

Miscellaneous: Training for general manufactures ?: (?) out ?

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, 3.2002.3353.5

Machine Generated Data

Tags

Amazon
created on 2019-06-05

Person 99.5
Human 99.5
Person 99
Person 98.2
Military 97.5
Military Uniform 96.7
Person 96.6
Clothing 96.5
Apparel 96.5
Person 95.2
Person 91.8
Hat 90.8
Army 90.3
Armored 90.3
Person 86.4
Person 83.4
Person 80.8
Soldier 78.7
Person 73.6
People 71.5
Troop 71.5
Helmet 66.9
Hat 61.9
Hat 59.2
Sun Hat 57.7
Person 54.4
Person 44.9
Person 43

Clarifai
created on 2019-06-05

people 99.9
military 99.5
soldier 99
war 98.9
group 98.1
group together 97.9
adult 97.9
skirmish 97.4
gun 97.3
man 97
uniform 96.9
child 96.7
army 96.5
weapon 96.4
wear 96.3
rifle 94.4
outfit 93
many 91.7
cavalry 89.2
military uniform 88.7

Imagga
created on 2019-06-05

military uniform 100
uniform 100
clothing 67.3
covering 44.9
consumer goods 43.6
man 33.6
military 32.8
soldier 32.3
male 31.2
gun 29.8
war 27.2
weapon 27
outdoors 23.9
camouflage 22.9
commodity 21.7
army 21.5
people 21.2
person 20
rifle 19.6
battle 18.6
stretcher 17.4
protection 16.4
danger 16.4
outdoor 15.3
recreation 14.3
equipment 13.9
litter 13.9
combat 13.8
helmet 13.3
adult 13
action 13
summer 12.9
mask 12.7
warrior 12.7
travel 12.7
sport 12.5
hiking 12.5
men 12
conveyance 11.9
forces 11.8
target 11.7
horse 11.4
sports 11.1
grass 11.1
field 10.9
activity 10.7
game 10.7
extreme 10.5
old 10.4
adventure 10.4
two 10.2
training 10.2
guy 10.1
leisure 10
plow 9.9
warfare 9.9
mountain 9.8
fight 9.7
firearm 9.7
player 9.6
active 9
farm 8.9
armed 8.8
aggression 8.8
conflict 8.8
backpack 8.8
defense 8.8
boy 8.7
outside 8.6
mountains 8.3
competition 8.2
hiker 7.9
aiming 7.9
shooting 7.8
fighting 7.8
tool 7.7
statue 7.6
desert 7.5
holding 7.4
park 7.4
playing 7.3
history 7.2
armor 7

Microsoft
created on 2019-06-05

grass 100
outdoor 99.9
tree 99.8
person 96.3
clothing 93
group 77.1
field 75.5
old 73.1
military 53.9
posing 44.1
team 35.8

Color Analysis

Face analysis

Amazon

Microsoft

Google

AWS Rekognition

Age 20-38
Gender Female, 51.7%
Calm 45.2%
Surprised 45%
Disgusted 45%
Confused 45.1%
Sad 53.8%
Happy 45%
Angry 45.7%

AWS Rekognition

Age 4-9
Gender Female, 54.2%
Happy 45.6%
Angry 46.5%
Calm 48.4%
Confused 45.8%
Surprised 46.3%
Disgusted 45.5%
Sad 46.9%

AWS Rekognition

Age 23-38
Gender Female, 54.3%
Happy 45.2%
Surprised 45.1%
Angry 45.9%
Sad 53.3%
Confused 45.2%
Calm 45.1%
Disgusted 45.1%

AWS Rekognition

Age 23-38
Gender Male, 91.6%
Disgusted 8.6%
Calm 54.4%
Surprised 4.2%
Sad 10%
Confused 3.1%
Angry 18.8%
Happy 0.9%

AWS Rekognition

Age 35-55
Gender Male, 51%
Sad 47.4%
Surprised 45.6%
Confused 46.7%
Disgusted 46.2%
Happy 46.3%
Calm 45.7%
Angry 47.1%

AWS Rekognition

Age 35-53
Gender Male, 54.6%
Surprised 45.3%
Happy 45.1%
Confused 45.3%
Sad 46.7%
Calm 52%
Disgusted 45.1%
Angry 45.4%

AWS Rekognition

Age 23-38
Gender Female, 51.9%
Sad 54.9%
Angry 45%
Happy 45%
Confused 45%
Surprised 45%
Disgusted 45%
Calm 45%

AWS Rekognition

Age 26-43
Gender Male, 54.7%
Sad 48.6%
Happy 45.2%
Disgusted 45.8%
Calm 47.2%
Angry 45.9%
Confused 47%
Surprised 45.3%

AWS Rekognition

Age 19-36
Gender Male, 53%
Confused 45.1%
Happy 45.1%
Calm 52.2%
Sad 46%
Angry 45.3%
Surprised 46.2%
Disgusted 45.1%

AWS Rekognition

Age 26-44
Gender Female, 51.5%
Calm 45.4%
Disgusted 45%
Confused 45.1%
Angry 45.1%
Sad 54.1%
Happy 45.3%
Surprised 45.1%

AWS Rekognition

Age 49-69
Gender Male, 53.7%
Surprised 45.6%
Happy 45.4%
Confused 45.7%
Sad 45.6%
Calm 52.4%
Disgusted 45.1%
Angry 45.2%

Microsoft Cognitive Services

Age 17
Gender Female

Microsoft Cognitive Services

Age 30
Gender Male

Microsoft Cognitive Services

Age 32
Gender Female

Microsoft Cognitive Services

Age 30
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 likely
Blurred Very unlikely

Google Vision

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

Google Vision

Surprise Very unlikely
Anger Very unlikely
Sorrow Very unlikely
Joy Very unlikely
Headwear Very likely
Blurred Very unlikely

Feature analysis

Amazon

Person 99.5%
Hat 90.8%
Helmet 66.9%