Human Generated Data

Title

Charity, Children: United States. New Hampshire. Nashua. St. Joseph's Orphanage: New Hampshire State Charitable and Correctional Institutions: Boys' Drill.

Date

c. 1900

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, 3.2002.2538.5

Human Generated Data

Title

Charity, Children: United States. New Hampshire. Nashua. St. Joseph's Orphanage: New Hampshire State Charitable and Correctional Institutions: Boys' Drill.

People

Artist: Unidentified Artist,

Date

c. 1900

Classification

Photographs

Credit Line

Harvard Art Museums/Fogg Museum, Transfer from the Carpenter Center for the Visual Arts, Social Museum Collection, 3.2002.2538.5

Machine Generated Data

Tags

Amazon
created on 2019-06-07

Human 99.7
Person 99.7
Person 99.6
Person 99.5
Military 99.5
Military Uniform 99.2
Person 98.9
Person 98.1
Person 94.7
Officer 93.1
Person 92.9
Person 90.7
People 89.5
Person 89.4
Soldier 84
Person 83.6
Army 83.2
Armored 83.2
Person 83.1
Person 81.7
Person 81
Troop 74.9
Person 74.7
Person 70
Crowd 65.3
Person 63.3
Person 61.5
Marching 58.9
Guard 57.9
Sailor Suit 57.2
Captain 56.3

Clarifai
created on 2019-06-07

people 100
many 99.7
group together 99.7
adult 99.3
military 98.9
uniform 98.5
administration 98.2
group 97.9
wear 97
soldier 96.6
leader 95.8
outfit 95.7
man 95.6
military uniform 95.3
war 94.4
woman 89.6
discipline 89
watercraft 88.3
vehicle 87.9
police 84.4

Imagga
created on 2019-06-07

menorah 100
candelabrum 100
candlestick 77
holder 50.4
holding device 25.4
building 17.4
old 16.7
architecture 16.4
house 12.5
city 12.5
sky 10.8
outdoors 10.4
landscape 10.4
wall 10.3
black 10.2
water 10
travel 9.8
wooden 9.7
tree 9.2
park 9
rural 8.8
shovel 8.7
tool 8.7
grunge 8.5
design 8.4
summer 8.4
marimba 8.3
color 8.3
vintage 8.3
drawing 8.3
percussion instrument 8.2
life 7.9
winter 7.7
sketch 7.6
outdoor 7.6
beach 7.6
historical 7.5
pattern 7.5
frame 7.5
hook 7.5
decoration 7.4
equipment 7.3
window 7.3
yellow 7.3
road 7.2
home 7.2
art 7.1

Google
created on 2019-06-07

Team 59.4
Crew 55.9
Military rank 53.6
Uniform 52.8
Troop 52.7

Microsoft
created on 2019-06-07

ground 97.7
person 95.6
group 94.1
outdoor 92.1
standing 82.7
people 78
black 70.3
old 61.4
line 22.5

Color Analysis

Face analysis

Amazon

AWS Rekognition

Age 14-25
Gender Male, 50.2%
Calm 49.9%
Confused 49.5%
Happy 49.6%
Sad 49.7%
Surprised 49.5%
Angry 49.6%
Disgusted 49.6%

AWS Rekognition

Age 6-13
Gender Male, 50.2%
Disgusted 49.5%
Confused 49.5%
Angry 49.5%
Surprised 49.9%
Sad 49.9%
Calm 49.5%
Happy 49.6%

AWS Rekognition

Age 26-43
Gender Female, 50.3%
Confused 49.5%
Sad 49.9%
Calm 50%
Happy 49.5%
Angry 49.6%
Disgusted 49.5%
Surprised 49.5%

AWS Rekognition

Age 20-38
Gender Female, 50.1%
Angry 49.5%
Sad 50.4%
Disgusted 49.5%
Surprised 49.5%
Calm 49.6%
Confused 49.5%
Happy 49.5%

AWS Rekognition

Age 26-43
Gender Male, 50.4%
Confused 49.6%
Sad 49.7%
Calm 49.7%
Happy 49.5%
Angry 49.9%
Disgusted 49.6%
Surprised 49.5%

AWS Rekognition

Age 12-22
Gender Female, 50.5%
Calm 49.6%
Sad 50.3%
Confused 49.5%
Surprised 49.5%
Disgusted 49.5%
Happy 49.5%
Angry 49.6%

AWS Rekognition

Age 10-15
Gender Female, 50.3%
Calm 49.5%
Confused 49.5%
Happy 49.5%
Angry 49.5%
Disgusted 49.5%
Surprised 49.5%
Sad 50.4%

AWS Rekognition

Age 26-43
Gender Female, 50.2%
Calm 49.6%
Sad 49.9%
Confused 49.5%
Surprised 49.5%
Disgusted 49.6%
Happy 49.7%
Angry 49.7%

AWS Rekognition

Age 10-15
Gender Female, 50.1%
Calm 49.7%
Angry 49.5%
Disgusted 49.5%
Happy 49.5%
Confused 49.5%
Surprised 49.5%
Sad 50.2%

AWS Rekognition

Age 10-15
Gender Female, 50.5%
Angry 49.5%
Calm 49.6%
Disgusted 49.5%
Surprised 49.5%
Happy 49.5%
Sad 50.4%
Confused 49.5%

AWS Rekognition

Age 14-25
Gender Female, 50.2%
Happy 49.6%
Sad 49.7%
Surprised 49.6%
Disgusted 49.5%
Angry 49.6%
Calm 49.9%
Confused 49.6%

AWS Rekognition

Age 19-36
Gender Female, 50.5%
Surprised 49.5%
Happy 49.6%
Angry 49.5%
Confused 49.5%
Sad 50.3%
Disgusted 49.5%
Calm 49.5%

AWS Rekognition

Age 10-15
Gender Female, 50.4%
Confused 49.5%
Angry 49.5%
Sad 50.5%
Calm 49.5%
Disgusted 49.5%
Surprised 49.5%
Happy 49.5%

AWS Rekognition

Age 14-23
Gender Male, 50.4%
Calm 50.1%
Disgusted 49.6%
Surprised 49.5%
Confused 49.5%
Angry 49.6%
Sad 49.6%
Happy 49.6%

AWS Rekognition

Age 26-43
Gender Female, 50.5%
Calm 49.6%
Happy 49.6%
Sad 50%
Disgusted 49.5%
Confused 49.5%
Angry 49.7%
Surprised 49.6%

AWS Rekognition

Age 12-22
Gender Female, 50.3%
Disgusted 49.5%
Happy 49.5%
Confused 49.5%
Surprised 49.5%
Angry 49.5%
Calm 49.5%
Sad 50.4%

AWS Rekognition

Age 20-38
Gender Female, 50.5%
Surprised 49.6%
Calm 49.6%
Angry 49.6%
Sad 49.9%
Confused 49.5%
Happy 49.9%
Disgusted 49.5%

AWS Rekognition

Age 16-27
Gender Female, 50.2%
Confused 49.5%
Sad 50.2%
Disgusted 49.5%
Calm 49.7%
Surprised 49.5%
Angry 49.5%
Happy 49.5%

AWS Rekognition

Age 26-44
Gender Female, 50.3%
Surprised 49.5%
Sad 50.3%
Happy 49.6%
Calm 49.5%
Angry 49.5%
Disgusted 49.5%
Confused 49.5%

AWS Rekognition

Age 12-22
Gender Female, 50.5%
Disgusted 49.5%
Angry 49.5%
Surprised 49.6%
Sad 50%
Happy 49.8%
Confused 49.5%
Calm 49.6%

AWS Rekognition

Age 4-9
Gender Female, 50.1%
Angry 49.5%
Sad 49.5%
Confused 49.5%
Disgusted 49.5%
Happy 49.5%
Surprised 49.5%
Calm 50.5%

AWS Rekognition

Age 19-36
Gender Female, 50.4%
Disgusted 49.5%
Happy 49.5%
Sad 50.1%
Angry 49.7%
Surprised 49.5%
Confused 49.5%
Calm 49.6%

AWS Rekognition

Age 35-52
Gender Female, 50.5%
Surprised 49.5%
Disgusted 49.5%
Confused 49.5%
Angry 49.5%
Sad 50.3%
Calm 49.6%
Happy 49.5%

AWS Rekognition

Age 4-9
Gender Male, 50.1%
Sad 50.4%
Angry 49.5%
Surprised 49.5%
Happy 49.5%
Calm 49.6%
Confused 49.5%
Disgusted 49.5%

AWS Rekognition

Age 26-43
Gender Male, 50.1%
Calm 49.5%
Sad 50.5%
Happy 49.5%
Surprised 49.5%
Angry 49.5%
Disgusted 49.5%
Confused 49.5%

AWS Rekognition

Age 6-13
Gender Female, 50.1%
Angry 50.3%
Confused 49.5%
Happy 49.5%
Surprised 49.5%
Sad 49.6%
Disgusted 49.5%
Calm 49.5%

AWS Rekognition

Age 20-38
Gender Female, 50.5%
Sad 49.6%
Calm 49.6%
Disgusted 49.8%
Happy 49.6%
Angry 49.8%
Surprised 49.6%
Confused 49.5%

AWS Rekognition

Age 6-13
Gender Male, 50.1%
Happy 49.5%
Sad 49.7%
Calm 49.6%
Surprised 49.5%
Disgusted 49.5%
Confused 49.6%
Angry 50%

AWS Rekognition

Age 6-13
Gender Female, 50%
Angry 49.5%
Happy 49.5%
Calm 49.5%
Surprised 50.5%
Disgusted 49.5%
Confused 49.5%
Sad 49.5%

AWS Rekognition

Age 20-38
Gender Female, 50.2%
Happy 49.5%
Angry 49.5%
Disgusted 49.5%
Calm 50.3%
Sad 49.6%
Surprised 49.5%
Confused 49.5%

AWS Rekognition

Age 17-27
Gender Female, 50.4%
Confused 49.5%
Sad 49.7%
Calm 50.2%
Disgusted 49.5%
Happy 49.5%
Surprised 49.5%
Angry 49.5%

AWS Rekognition

Age 14-23
Gender Male, 50.1%
Sad 50.4%
Disgusted 49.5%
Angry 49.5%
Surprised 49.5%
Happy 49.5%
Calm 49.5%
Confused 49.5%

AWS Rekognition

Age 23-38
Gender Female, 50.2%
Angry 49.6%
Sad 50.1%
Calm 49.5%
Surprised 49.5%
Disgusted 49.5%
Happy 49.8%
Confused 49.5%

AWS Rekognition

Age 9-14
Gender Female, 50.4%
Calm 49.5%
Disgusted 49.6%
Surprised 49.8%
Confused 49.5%
Angry 49.6%
Sad 49.9%
Happy 49.6%

AWS Rekognition

Age 12-22
Gender Female, 50.3%
Happy 49.5%
Angry 49.6%
Disgusted 49.6%
Calm 50.1%
Sad 49.6%
Surprised 49.6%
Confused 49.5%

AWS Rekognition

Age 6-13
Gender Female, 50%
Sad 49.7%
Disgusted 49.5%
Calm 49.8%
Confused 49.6%
Surprised 49.6%
Angry 49.6%
Happy 49.7%

AWS Rekognition

Age 15-25
Gender Female, 50.2%
Angry 49.6%
Happy 49.5%
Sad 49.8%
Disgusted 49.5%
Calm 50%
Surprised 49.5%
Confused 49.5%

AWS Rekognition

Age 26-43
Gender Female, 50.1%
Calm 49.6%
Disgusted 49.5%
Angry 49.5%
Confused 49.5%
Surprised 49.5%
Happy 49.7%
Sad 50.2%

AWS Rekognition

Age 6-13
Gender Male, 50.3%
Angry 49.5%
Confused 49.6%
Disgusted 49.5%
Surprised 49.5%
Calm 49.9%
Happy 49.5%
Sad 49.9%

AWS Rekognition

Age 6-13
Gender Male, 50.3%
Angry 49.5%
Disgusted 49.5%
Surprised 49.5%
Confused 49.5%
Happy 49.5%
Sad 50.5%
Calm 49.5%

AWS Rekognition

Age 14-23
Gender Female, 50.5%
Angry 49.5%
Sad 50.1%
Confused 49.5%
Disgusted 49.5%
Happy 49.6%
Surprised 49.6%
Calm 49.7%

Feature analysis

Amazon

Person 99.7%