Human Generated Data

Title

Charity, Children: Germany. Berlin. Friedrichs-Waisenhaus zu Rummelsburg: Friedrichs-Waisenhaus zu Rummelsburg (Municipal Orphanage, Berlin, Germany): School Band.
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, 3.2002.631.1

Human Generated Data

Title

Charity, Children: Germany. Berlin. Friedrichs-Waisenhaus zu Rummelsburg: Friedrichs-Waisenhaus zu Rummelsburg (Municipal Orphanage, Berlin, Germany): School Band.

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, 3.2002.631.1

Machine Generated Data

Tags

Amazon
created on 2019-06-07

Human 98.7
Person 98.7
Person 97.6
Person 97
Person 94.7
Person 94
Person 93
Person 91.3
Crowd 90
Person 89.3
Armored 86.4
Troop 86.4
Military Uniform 86.4
Military 86.4
Army 86.4
People 86.4
Outdoors 83.4
Musical Instrument 80.1
Musician 80.1
Person 79
Person 74
Marching 71.7
Field 67.2
Person 66.4
Person 61.8
Person 61.5
Mound 58
Grassland 58
Music Band 56.7
Person 47.4
Person 45.5
Person 43.2

Clarifai
created on 2019-06-07

people 99.8
many 99.6
group together 99.2
group 98.2
adult 98.2
soldier 97
military 96
man 94.9
winter 93
war 92.1
snow 91.1
several 84.4
skirmish 82.8
crowd 82.6
leader 81.5
wear 77.5
cavalry 77.5
cold 76.8
tree 75.3
uniform 73.3

Imagga
created on 2019-06-07

snow 100
weather 96.4
landscape 52.2
winter 48.6
tree 42.4
cold 40.5
trees 33.9
sky 33.2
forest 33.1
season 32
frost 31.7
ice 30.4
scenic 27.3
park 27.2
fence 26.9
scenery 26.2
outdoors 26.2
picket fence 26.2
rural 24.7
scene 24.3
frozen 23.9
country 22.9
field 22.6
snowy 22.4
countryside 18.3
seasonal 17.5
frosty 16.7
barrier 16.3
travel 16.2
covered 15.5
water 15.4
sun 15.3
woods 15.3
outdoor 15.3
mountain 15.2
grass 15
light 14.7
tranquil 13.6
land 13
peaceful 12.8
calm 12.8
branch 12.8
road 12.7
freeze 12.7
wood 12.5
morning 11.8
horizon 11.7
vacation 11.5
climate 11.4
wilderness 11.3
cloud 11.2
sunny 11.2
national 10.9
obstruction 10.9
pine 10.5
path 10.4
day 10.2
clouds 10.2
snowfall 9.8
sunlight 9.8
river 9.8
icy 9.8
fog 9.7
sand 9.7
scenics 9.6
nobody 9.3
tourism 9.1
environment 9.1
summer 9
hoarfrost 8.9
cool 8.9
town 8.4
city 8.3
lake 8.3
natural 8
structure 7.9
blizzard 7.9
snowing 7.9
spring 7.9
range 7.8
trail 7.8
beach 7.7
solitude 7.7
crystal 7.5
mountains 7.4
recreation 7.2
meadow 7.2
shovel 7.2

Google
created on 2019-06-07

Photograph 95.7
Photography 62.4
Troop 60.1
Monochrome 60.1
Stock photography 59.4
Team 52.3
Style 51

Microsoft
created on 2019-06-07

outdoor 99.8
tree 99.4
snow 98.7
ground 96.1
person 87.9
group 81.6
old 70.6
people 63.8
posing 48.9

Color Analysis

Face analysis

Amazon

AWS Rekognition

Age 35-53
Gender Female, 50.1%
Calm 49.6%
Disgusted 49.7%
Sad 49.9%
Happy 49.7%
Surprised 49.5%
Angry 49.6%
Confused 49.5%

AWS Rekognition

Age 14-25
Gender Female, 50.3%
Sad 50.2%
Calm 49.6%
Angry 49.6%
Happy 49.5%
Disgusted 49.6%
Confused 49.5%
Surprised 49.5%

AWS Rekognition

Age 38-57
Gender Female, 50.2%
Confused 49.5%
Calm 49.6%
Happy 49.5%
Disgusted 49.5%
Sad 50.1%
Angry 49.6%
Surprised 49.5%

AWS Rekognition

Age 38-57
Gender Female, 50.1%
Angry 49.6%
Sad 50.3%
Happy 49.5%
Surprised 49.5%
Disgusted 49.5%
Confused 49.5%
Calm 49.5%

AWS Rekognition

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

AWS Rekognition

Age 57-77
Gender Female, 50.4%
Angry 49.5%
Sad 50.3%
Happy 49.5%
Disgusted 49.5%
Calm 49.6%
Surprised 49.5%
Confused 49.5%

AWS Rekognition

Age 26-44
Gender Female, 50.1%
Surprised 49.5%
Sad 50.1%
Disgusted 49.6%
Calm 49.6%
Happy 49.5%
Angry 49.6%
Confused 49.5%

AWS Rekognition

Age 26-43
Gender Female, 50.2%
Confused 49.6%
Disgusted 49.7%
Surprised 49.5%
Sad 49.8%
Happy 49.6%
Angry 49.6%
Calm 49.7%

AWS Rekognition

Age 45-63
Gender Female, 50.1%
Angry 49.6%
Confused 49.5%
Disgusted 49.5%
Surprised 49.5%
Calm 49.7%
Sad 50.1%
Happy 49.5%

AWS Rekognition

Age 23-38
Gender Female, 50.3%
Sad 50.4%
Surprised 49.5%
Disgusted 49.5%
Calm 49.5%
Angry 49.5%
Happy 49.5%
Confused 49.5%

AWS Rekognition

Age 16-27
Gender Female, 50.3%
Angry 49.6%
Surprised 49.5%
Confused 49.5%
Sad 50.2%
Disgusted 49.6%
Happy 49.5%
Calm 49.5%

AWS Rekognition

Age 26-43
Gender Female, 50.4%
Calm 49.6%
Surprised 49.6%
Confused 49.6%
Angry 49.6%
Sad 49.8%
Happy 49.5%
Disgusted 49.8%

AWS Rekognition

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

AWS Rekognition

Age 23-38
Gender Female, 50.4%
Surprised 49.5%
Disgusted 49.6%
Happy 49.5%
Sad 49.9%
Angry 49.6%
Calm 49.8%
Confused 49.5%

AWS Rekognition

Age 29-45
Gender Female, 50.2%
Happy 49.5%
Sad 49.9%
Surprised 49.5%
Angry 49.6%
Calm 49.8%
Disgusted 49.6%
Confused 49.5%

AWS Rekognition

Age 26-44
Gender Female, 50.1%
Calm 49.8%
Sad 50%
Surprised 49.5%
Disgusted 49.5%
Angry 49.6%
Confused 49.5%
Happy 49.5%

AWS Rekognition

Age 16-27
Gender Female, 50.1%
Surprised 49.6%
Confused 49.6%
Disgusted 49.5%
Angry 49.6%
Calm 49.7%
Happy 49.9%
Sad 49.7%

AWS Rekognition

Age 14-23
Gender Female, 50.3%
Surprised 49.6%
Happy 49.6%
Calm 49.8%
Angry 49.6%
Disgusted 49.6%
Sad 49.7%
Confused 49.6%

AWS Rekognition

Age 20-38
Gender Male, 50.1%
Sad 50.3%
Surprised 49.5%
Disgusted 49.5%
Calm 49.5%
Angry 49.5%
Happy 49.5%
Confused 49.5%

AWS Rekognition

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

AWS Rekognition

Age 20-38
Gender Female, 50.1%
Happy 49.6%
Angry 49.6%
Calm 49.5%
Surprised 49.6%
Disgusted 50%
Sad 49.6%
Confused 49.6%

AWS Rekognition

Age 48-68
Gender Female, 50.2%
Sad 49.8%
Confused 49.6%
Disgusted 49.5%
Calm 49.7%
Happy 49.8%
Angry 49.6%
Surprised 49.6%

AWS Rekognition

Age 35-55
Gender Male, 50%
Calm 49.7%
Angry 49.6%
Confused 49.6%
Surprised 49.6%
Sad 50%
Happy 49.5%
Disgusted 49.6%

AWS Rekognition

Age 29-45
Gender Female, 50.2%
Calm 49.5%
Disgusted 49.5%
Angry 49.5%
Sad 50.4%
Surprised 49.5%
Confused 49.5%
Happy 49.5%

AWS Rekognition

Age 20-38
Gender Female, 50.3%
Surprised 49.5%
Angry 49.6%
Confused 49.6%
Sad 50.1%
Calm 49.6%
Disgusted 49.6%
Happy 49.6%

AWS Rekognition

Age 26-43
Gender Female, 50.2%
Disgusted 49.5%
Confused 49.5%
Surprised 49.5%
Calm 49.5%
Happy 49.5%
Angry 49.6%
Sad 50.3%

AWS Rekognition

Age 45-63
Gender Female, 50.3%
Surprised 49.5%
Disgusted 49.9%
Sad 49.7%
Angry 49.7%
Calm 49.5%
Happy 49.5%
Confused 49.6%

AWS Rekognition

Age 35-52
Gender Female, 50.4%
Surprised 49.5%
Disgusted 49.6%
Sad 50.1%
Angry 49.6%
Confused 49.5%
Calm 49.7%
Happy 49.5%

AWS Rekognition

Age 20-38
Gender Female, 50.2%
Angry 49.6%
Calm 49.9%
Happy 49.6%
Sad 49.8%
Disgusted 49.6%
Surprised 49.6%
Confused 49.5%

AWS Rekognition

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

AWS Rekognition

Age 16-27
Gender Female, 50.2%
Surprised 49.5%
Disgusted 49.6%
Sad 50.1%
Angry 49.6%
Calm 49.6%
Happy 49.6%
Confused 49.5%

AWS Rekognition

Age 49-69
Gender Female, 50%
Confused 49.6%
Disgusted 49.8%
Calm 49.6%
Angry 49.6%
Happy 49.5%
Sad 49.8%
Surprised 49.6%

AWS Rekognition

Age 26-43
Gender Female, 50.1%
Disgusted 49.5%
Angry 49.6%
Surprised 49.5%
Happy 49.5%
Sad 50%
Calm 49.7%
Confused 49.5%

AWS Rekognition

Age 30-47
Gender Female, 50.4%
Calm 49.6%
Happy 49.6%
Disgusted 49.8%
Surprised 49.5%
Angry 49.6%
Sad 49.9%
Confused 49.6%

AWS Rekognition

Age 14-25
Gender Female, 50.4%
Disgusted 49.5%
Surprised 49.6%
Happy 49.5%
Calm 50.1%
Angry 49.6%
Sad 49.6%
Confused 49.5%

AWS Rekognition

Age 26-43
Gender Female, 50.2%
Calm 50%
Angry 49.6%
Disgusted 49.6%
Surprised 49.5%
Happy 49.5%
Confused 49.6%
Sad 49.7%

AWS Rekognition

Age 16-27
Gender Female, 50.3%
Angry 49.6%
Calm 49.6%
Sad 50.1%
Confused 49.5%
Disgusted 49.6%
Surprised 49.6%
Happy 49.5%

AWS Rekognition

Age 17-27
Gender Female, 50.3%
Disgusted 49.6%
Angry 49.7%
Surprised 49.6%
Sad 49.7%
Calm 49.8%
Confused 49.6%
Happy 49.5%

AWS Rekognition

Age 14-25
Gender Female, 50.4%
Disgusted 49.5%
Confused 49.5%
Happy 49.5%
Calm 50.4%
Surprised 49.5%
Angry 49.5%
Sad 49.6%

AWS Rekognition

Age 23-38
Gender Female, 50.2%
Angry 49.6%
Surprised 49.6%
Sad 49.9%
Confused 49.6%
Happy 49.6%
Calm 49.7%
Disgusted 49.6%

AWS Rekognition

Age 20-38
Gender Female, 50%
Confused 49.6%
Sad 49.6%
Angry 49.7%
Disgusted 49.6%
Happy 49.6%
Surprised 49.6%
Calm 49.8%

AWS Rekognition

Age 38-59
Gender Male, 50.1%
Angry 49.6%
Sad 49.9%
Surprised 49.6%
Confused 49.6%
Happy 49.5%
Calm 49.6%
Disgusted 49.7%

AWS Rekognition

Age 11-18
Gender Female, 50.3%
Confused 49.6%
Disgusted 49.5%
Surprised 49.6%
Sad 49.7%
Happy 49.9%
Angry 49.6%
Calm 49.7%

AWS Rekognition

Age 4-9
Gender Female, 50.4%
Angry 49.7%
Confused 49.5%
Disgusted 49.7%
Surprised 49.6%
Calm 49.7%
Sad 49.7%
Happy 49.6%

AWS Rekognition

Age 10-15
Gender Female, 50.5%
Angry 49.5%
Surprised 49.6%
Confused 49.6%
Sad 50%
Disgusted 49.6%
Happy 49.6%
Calm 49.7%

AWS Rekognition

Age 20-38
Gender Male, 50.2%
Sad 49.9%
Calm 49.6%
Disgusted 49.8%
Confused 49.6%
Surprised 49.5%
Happy 49.5%
Angry 49.5%

Feature analysis

Amazon

Person 98.7%

Text analysis

Amazon

t
HFBY