Human Generated Data

Title

Social Settlements: United States. New York. New York City. "Nurses Settlement": The Nurses Settlement, New York City.: A start for an over-night 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, 3.2002.3191.3

Human Generated Data

Title

Social Settlements: United States. New York. New York City. "Nurses Settlement": The Nurses Settlement, New York City.: A start for an over-night 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, 3.2002.3191.3

Machine Generated Data

Tags

Amazon
created on 2019-06-06

Person 99.5
Human 99.5
Person 99.5
Person 98.9
Person 98.4
Military 97.9
Person 97.7
Person 97.6
Person 97.4
Person 97.3
Poster 97.2
Advertisement 97.2
Military Uniform 96.9
Person 96.8
Person 96.3
Armored 94.4
Army 94.4
Person 94
Person 93.9
People 93.1
Person 91.4
Person 90.7
Text 86.5
Troop 83.9
Crowd 83.5
Marching 83.5
Person 79.8
Person 78.8
Person 77.2
Soldier 72.6
Bird 72.2
Animal 72.2
Person 71.3
Person 64.2
Bird 62
Officer 59.9
Person 56.8

Clarifai
created on 2019-06-06

people 100
many 99.9
group 99.5
military 98.9
adult 98
cavalry 97.6
group together 97.5
soldier 96.2
man 96.2
war 95.1
leader 94.6
administration 93.5
several 93
wear 92.7
crowd 92.3
military uniform 90.6
vehicle 88.3
print 86.6
uniform 85.1
skirmish 84.7

Imagga
created on 2019-06-06

graffito 48.4
snow 39.8
landscape 35
decoration 31.2
winter 27.2
tree 27
cold 23.3
sky 23
scene 19.9
cemetery 19
rural 18.5
outdoors 17.9
trees 17.8
forest 16.5
park 16.5
season 16.4
horizon 16.2
scenery 15.3
grunge 15.3
field 15.1
travel 14.8
weather 14.6
frost 14.4
country 14.1
sand 13.8
tourism 13.2
scenic 13.2
vacation 13.1
outdoor 13
frozen 12.4
vintage 12.4
old 11.8
holiday 11.5
summer 10.9
tranquil 10.9
snowy 10.7
plow 10.6
sun 10.5
brown 10.3
grass 10.3
wood 10
morning 10
mountain 9.8
structure 9.8
texture 9.7
wild 9.6
beach 9.5
day 9.4
desert 9.3
water 9.3
ice 9.2
frame 9.2
fence 9.1
silhouette 9.1
environment 9.1
retro 9
pattern 8.9
land 8.7
antique 8.7
paper 8.6
sunny 8.6
scenics 8.6
old fashioned 8.6
space 8.5
wilderness 8.5
color 8.3
farm 8.3
countryside 8.2
aged 8.1
road 8.1
seasonal 7.9
snowing 7.9
frosty 7.8
sea 7.8
black 7.8
ancient 7.8
freeze 7.8
covered 7.8
fog 7.7
panorama 7.6
grungy 7.6
horizontal 7.5
picket fence 7.5
city 7.5
lake 7.4
peaceful 7.3
rough 7.3
national 7.3
tool 7.2
cool 7.1

Google
created on 2019-06-06

Photograph 95.9
People 94.9
Uniform 75.5
Troop 74.2
Stock photography 59.4
Paper product 57.7
Marching 55.8
Illustration 54.5
History 54.1
Team 52.3
Crowd 50.7
Art 50.2

Microsoft
created on 2019-06-06

text 97.7
old 96.9
outdoor 93.3
person 92.2
group 77.8
black 74.8
handwriting 72.3
clothing 68.6
white 67.1
people 56.7
posing 41.3
vintage 38.5

Color Analysis

Face analysis

Amazon

AWS Rekognition

Age 35-52
Gender Female, 54.1%
Surprised 45.4%
Happy 45.9%
Sad 48.4%
Angry 45.5%
Disgusted 48.6%
Confused 45.4%
Calm 45.7%

AWS Rekognition

Age 26-43
Gender Female, 54.9%
Calm 45.4%
Disgusted 46.2%
Surprised 45.6%
Angry 45.5%
Sad 45.9%
Confused 45.3%
Happy 51%

AWS Rekognition

Age 26-43
Gender Female, 50.3%
Disgusted 49.6%
Happy 49.6%
Angry 49.6%
Calm 49.7%
Surprised 49.6%
Confused 49.6%
Sad 49.8%

AWS Rekognition

Age 12-22
Gender Female, 50.2%
Surprised 49.6%
Disgusted 49.5%
Angry 49.6%
Sad 50.1%
Happy 49.6%
Confused 49.5%
Calm 49.7%

AWS Rekognition

Age 30-47
Gender Female, 54.6%
Disgusted 46.2%
Happy 45.6%
Angry 47.2%
Calm 46.8%
Surprised 45.5%
Confused 45.6%
Sad 48.2%

AWS Rekognition

Age 2-5
Gender Male, 50.3%
Surprised 49.5%
Disgusted 49.7%
Angry 49.8%
Sad 49.8%
Happy 49.5%
Confused 49.5%
Calm 49.6%

AWS Rekognition

Age 20-38
Gender Female, 50%
Disgusted 49.5%
Happy 49.5%
Angry 49.7%
Surprised 49.5%
Sad 50.2%
Confused 49.5%
Calm 49.5%

AWS Rekognition

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

AWS Rekognition

Age 26-43
Gender Female, 50.4%
Confused 49.6%
Angry 49.6%
Disgusted 49.7%
Calm 49.6%
Happy 49.6%
Surprised 49.6%
Sad 49.8%

AWS Rekognition

Age 23-38
Gender Female, 50.3%
Surprised 49.6%
Angry 49.6%
Sad 49.7%
Happy 49.7%
Disgusted 49.6%
Calm 49.8%
Confused 49.6%

AWS Rekognition

Age 26-43
Gender Female, 50.2%
Angry 49.6%
Calm 49.9%
Surprised 49.6%
Sad 49.6%
Disgusted 49.5%
Happy 49.8%
Confused 49.6%

AWS Rekognition

Age 26-43
Gender Female, 54.2%
Surprised 45.5%
Angry 45.5%
Sad 46.9%
Happy 47%
Disgusted 45.6%
Calm 48.9%
Confused 45.7%

AWS Rekognition

Age 27-44
Gender Female, 50.5%
Sad 49.7%
Calm 49.6%
Surprised 49.6%
Confused 49.6%
Disgusted 49.6%
Happy 49.9%
Angry 49.6%

AWS Rekognition

Age 14-25
Gender Female, 50.2%
Sad 49.8%
Calm 49.7%
Surprised 49.6%
Confused 49.6%
Disgusted 49.7%
Happy 49.6%
Angry 49.6%

AWS Rekognition

Age 29-45
Gender Female, 50.4%
Confused 49.5%
Surprised 49.5%
Angry 49.6%
Happy 49.5%
Sad 49.7%
Calm 50%
Disgusted 49.5%

AWS Rekognition

Age 12-22
Gender Female, 50.1%
Disgusted 49.5%
Confused 49.6%
Happy 49.5%
Sad 49.7%
Surprised 49.5%
Calm 50.1%
Angry 49.5%

AWS Rekognition

Age 10-15
Gender Female, 50.3%
Confused 49.5%
Happy 49.6%
Sad 49.6%
Disgusted 50%
Angry 49.6%
Calm 49.6%
Surprised 49.5%

AWS Rekognition

Age 26-43
Gender Female, 50.5%
Confused 49.5%
Happy 49.5%
Sad 50%
Disgusted 49.9%
Angry 49.5%
Calm 49.5%
Surprised 49.5%

AWS Rekognition

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

AWS Rekognition

Age 45-65
Gender Female, 50.2%
Calm 49.6%
Confused 49.6%
Happy 49.6%
Surprised 49.5%
Angry 49.8%
Disgusted 49.8%
Sad 49.6%

AWS Rekognition

Age 35-55
Gender Male, 50.2%
Calm 49.5%
Confused 49.5%
Happy 49.5%
Surprised 49.5%
Angry 49.6%
Disgusted 49.6%
Sad 50.1%

AWS Rekognition

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

AWS Rekognition

Age 26-43
Gender Female, 50.4%
Happy 49.6%
Sad 49.6%
Disgusted 49.6%
Calm 50.1%
Surprised 49.6%
Confused 49.5%
Angry 49.5%

AWS Rekognition

Age 26-43
Gender Female, 50.4%
Sad 49.6%
Calm 49.8%
Happy 49.6%
Surprised 49.5%
Angry 49.6%
Disgusted 49.9%
Confused 49.5%

AWS Rekognition

Age 35-53
Gender Female, 50.3%
Angry 49.6%
Disgusted 49.6%
Surprised 49.6%
Calm 49.7%
Sad 49.6%
Happy 49.9%
Confused 49.6%

AWS Rekognition

Age 20-38
Gender Female, 50.4%
Angry 49.6%
Disgusted 49.5%
Calm 49.7%
Surprised 49.5%
Happy 49.5%
Sad 50.1%
Confused 49.5%

AWS Rekognition

Age 20-38
Gender Female, 50.5%
Confused 49.5%
Disgusted 49.5%
Calm 49.6%
Sad 50.3%
Angry 49.5%
Happy 49.6%
Surprised 49.5%

AWS Rekognition

Age 16-27
Gender Female, 50.4%
Angry 49.6%
Calm 49.8%
Disgusted 49.6%
Surprised 49.6%
Sad 49.8%
Happy 49.6%
Confused 49.6%

AWS Rekognition

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

Feature analysis

Amazon

Person 99.5%
Poster 97.2%
Bird 72.2%

Categories

Imagga

streetview architecture 91.7%
nature landscape 6.5%
paintings art 1.1%

Text analysis

Amazon

for
A
over-night
A sfort for cyn over-night trarp.
trarp.
sfort
cyn

Google

A Star tor an er-rght tramp. OVe
A
Star
tor
an
er-rght
tramp.
OVe