Human Generated Data

Title

Social Settlements: United States. Massachusetts. Boston. "Hale House": Hale House, Boston, Mass.: Ready for a tramp.

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, 3.2002.3043.2

Human Generated Data

Title

Social Settlements: United States. Massachusetts. Boston. "Hale House": Hale House, Boston, Mass.: Ready for a tramp.

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, 3.2002.3043.2

Machine Generated Data

Tags

Amazon
created on 2019-06-06

Human 96.8
Person 96.8
Person 96.5
Person 96.2
Person 95.3
Person 95.3
Person 95.2
Military 93.6
People 92.9
Military Uniform 92.4
Armored 91
Army 91
Person 88
Person 84
Symbol 82.3
Flag 82.3
Troop 80.8
Person 78.5
Soldier 66.5
Person 66.3
Person 60.9
Person 51.1
Person 42.5

Clarifai
created on 2019-06-06

people 100
many 99.7
group together 99.6
group 99.6
cavalry 99.2
adult 99.2
military 98.9
soldier 97.9
war 97.3
man 97
vehicle 96.1
skirmish 94.5
crowd 91.3
wear 91.3
administration 90.9
campsite 90.7
uniform 88.8
tent 88.8
several 88.8
home 88.7

Imagga
created on 2019-06-06

snow 34.3
plow 30.1
landscape 29
sky 23.8
tool 23.6
tree 20.5
winter 20.4
old 18.8
mountain 17.8
trees 17.8
cold 16.4
structure 15.9
travel 15.5
weather 14.3
rural 13.2
forest 13.1
outdoor 13
environment 12.3
building 12.1
road 11.7
scenery 11.7
architecture 11.7
field 11.7
flagpole 11.7
hill 11.2
vintage 10.8
history 10.7
vacation 10.6
cloud 10.3
grass 10.3
industry 10.2
grunge 10.2
tourism 9.9
country 9.7
fog 9.7
sand 9.6
construction 9.4
staff 9.2
countryside 9.1
outdoors 9.1
industrial 9.1
horizon 9
scenic 8.8
rock 8.7
mountains 8.3
ice 8.3
day 7.8
destruction 7.8
antique 7.8
scene 7.8
torn 7.7
empty 7.7
frost 7.7
dirt 7.6
city 7.5
park 7.4
track 7.3
river 7.1
stone 7.1
summer 7.1
paper 7.1

Google
created on 2019-06-06

Microsoft
created on 2019-06-06

tree 99.9
outdoor 99.9
person 91.4
white 60.6
old 41.5

Color Analysis

Face analysis

Amazon

AWS Rekognition

Age 45-63
Gender Male, 50.5%
Calm 49.5%
Surprised 49.5%
Happy 49.5%
Disgusted 49.8%
Angry 49.8%
Sad 49.7%
Confused 49.6%

AWS Rekognition

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

AWS Rekognition

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

AWS Rekognition

Age 26-43
Gender Female, 50.1%
Happy 49.5%
Sad 49.8%
Angry 49.7%
Surprised 49.6%
Calm 49.7%
Confused 49.6%
Disgusted 49.6%

AWS Rekognition

Age 20-38
Gender Male, 50.5%
Surprised 49.5%
Happy 49.5%
Confused 49.5%
Calm 50.1%
Disgusted 49.6%
Angry 49.5%
Sad 49.6%

AWS Rekognition

Age 9-14
Gender Male, 50.1%
Angry 49.6%
Disgusted 49.5%
Calm 49.6%
Surprised 49.5%
Happy 49.6%
Sad 50.1%
Confused 49.6%

AWS Rekognition

Age 30-47
Gender Male, 50.3%
Angry 49.6%
Happy 49.6%
Disgusted 49.5%
Confused 49.5%
Calm 49.7%
Surprised 49.5%
Sad 49.9%

AWS Rekognition

Age 11-18
Gender Male, 50.3%
Sad 49.6%
Angry 49.5%
Happy 49.5%
Disgusted 49.5%
Calm 50.3%
Surprised 49.5%
Confused 49.6%

AWS Rekognition

Age 35-52
Gender Female, 50.2%
Angry 49.5%
Disgusted 49.5%
Calm 50.4%
Surprised 49.5%
Happy 49.5%
Sad 49.6%
Confused 49.5%

AWS Rekognition

Age 26-43
Gender Female, 50.2%
Angry 49.5%
Confused 49.5%
Calm 50.4%
Disgusted 49.5%
Happy 49.5%
Surprised 49.5%
Sad 49.5%

AWS Rekognition

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

AWS Rekognition

Age 20-38
Gender Female, 50.4%
Angry 49.7%
Surprised 49.5%
Disgusted 49.6%
Sad 49.8%
Happy 49.7%
Confused 49.5%
Calm 49.6%

AWS Rekognition

Age 23-38
Gender Female, 50.5%
Calm 49.5%
Disgusted 49.5%
Angry 49.5%
Happy 49.5%
Sad 50.4%
Surprised 49.5%
Confused 49.5%

AWS Rekognition

Age 26-43
Gender Female, 50%
Calm 50.3%
Happy 49.5%
Sad 49.7%
Angry 49.5%
Confused 49.5%
Disgusted 49.5%
Surprised 49.5%

AWS Rekognition

Age 35-52
Gender Female, 50.5%
Happy 49.7%
Sad 49.7%
Confused 49.6%
Calm 49.8%
Angry 49.6%
Disgusted 49.6%
Surprised 49.5%

AWS Rekognition

Age 11-18
Gender Female, 50.2%
Sad 50.2%
Angry 49.5%
Happy 49.6%
Disgusted 49.5%
Calm 49.5%
Surprised 49.5%
Confused 49.5%

AWS Rekognition

Age 14-25
Gender Male, 50.5%
Angry 49.6%
Calm 49.8%
Confused 49.6%
Happy 49.5%
Sad 49.9%
Disgusted 49.5%
Surprised 49.6%

AWS Rekognition

Age 35-52
Gender Male, 50.4%
Angry 49.6%
Confused 49.6%
Calm 49.9%
Surprised 49.5%
Sad 50%
Happy 49.5%
Disgusted 49.5%

AWS Rekognition

Age 23-38
Gender Male, 50.3%
Calm 50.1%
Happy 49.5%
Sad 49.7%
Angry 49.6%
Disgusted 49.5%
Confused 49.5%
Surprised 49.6%

AWS Rekognition

Age 6-13
Gender Female, 50.2%
Surprised 49.6%
Angry 49.5%
Sad 49.7%
Happy 49.5%
Disgusted 49.5%
Calm 49.7%
Confused 50%

Feature analysis

Amazon

Person 96.8%
Flag 82.3%

Text analysis

Amazon

Reody
tromp.
for
Reody for o tromp.
o

Google

Ready
tromp.
Ready for o tromp.
for
o