Human Generated Data

Title

Social Settlements: Great Britain, Scotland. Glasgow. "Queen Margaret College Settlement": Queen Margaret College Settlement, Anderston, Glasgow, Scotland.: Invalid Children.
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, 3.2002.2718

Human Generated Data

Title

Social Settlements: Great Britain, Scotland. Glasgow. "Queen Margaret College Settlement": Queen Margaret College Settlement, Anderston, Glasgow, Scotland.: Invalid Children.

People

Artist: Unidentified Artist,

Date

c. 1903

Classification

Photographs

Machine Generated Data

Tags

Amazon
created on 2019-06-05

Person 93.7
Human 93.7
Person 92.3
Person 89.5
Person 88.2
Person 85.9
Person 81.6
Person 79.9
Poster 76
Advertisement 76
Person 74.3
Person 71.6
Person 71.1
Person 70.9
Word 69.6
Crowd 60.1
Paper 59.2
Canvas 58.9
Art 57.4
Flyer 55.5
Brochure 55.5
Person 52.8
Person 52.6

Clarifai
created on 2019-06-05

no person 96.8
retro 96.4
paper 93.4
vector 93
dirty 92.6
old 92.2
illustration 89.1
empty 87.3
architecture 86.7
nature 86.3
wallpaper 85.1
antique 84.7
art 84.1
ancient 83.9
travel 83.3
outdoors 82.5
dark 82.4
design 82
rough 81.7
pattern 80.8

Imagga
created on 2019-06-05

envelope 92.2
container 68.3
design 33.2
grunge 31.5
wallpaper 28.4
graphic 26.3
decoration 26.1
frame 25.9
card 24
art 23.7
backdrop 23.1
ornament 21.6
pattern 21.2
border 20.8
floral 20.4
splash 20.1
decorative 20.1
vintage 20
texture 18.8
snow 18.5
element 18.2
holiday 17.9
antique 16.8
retro 16.4
old 16
year 15.5
snowflake 15.4
winter 15.3
decor 15
leaf 14.8
cold 14.6
flower 14.6
style 14.1
silhouette 14.1
season 14
clear 14
celebration 13.6
paper 13.4
cool 13.3
bubble 13.2
liquid 13.1
snowflakes 12.7
shape 12.7
clean 12.5
new 12.2
swirl 12
graphics 12
drop 11.8
symbol 11.5
bubbles 11.4
drops 11.3
halftone 11.2
greeting 11.1
aged 10.9
drawing 10.8
tree 10.8
water 10.7
wash 10.6
text 10.5
space 10.1
artwork 10.1
ornate 10.1
drink 10
color 10
dirty 9.9
transparent 9.9
summer 9.7
wave 9.5
ornamental 9.5
motion 9.4
light 9.4
energy 9.3
stationery 9.2
banner 9.2
fresh 9.2
star 9
drip 8.8
structure 8.7
stain 8.7
spring 8.6
frozen 8.6
ripple 8.6
merry 8.6
scroll 8.6
blank 8.6
elements 8.4
health 8.3
paint 8.2
celebrate 8.2
backgrounds 8.1
letterhead 8
creative 8
shiny 7.9
black 7.8
thirst 7.8
scene 7.8
circle 7.7
decay 7.7
modern 7.7
ribbon 7.7
bath 7.6
canvas 7.6
poster 7.6
spa 7.2
trees 7.1
surface 7.1
seasonal 7
curve 7

Google
created on 2019-06-05

Text 95.7
Photograph 95.4
Font 80.4
Room 71.4
Art 65.5
Photography 62.4
Stock photography 59.4
History 57.6
Illustration 54.5
Paper 51

Microsoft
created on 2019-06-05

person 91.3
clothing 50.7
envelope 37
businesscard 18.5

Color Analysis

Face analysis

Amazon

AWS Rekognition

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

AWS Rekognition

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

AWS Rekognition

Age 14-25
Gender Female, 50.5%
Sad 50.5%
Angry 49.5%
Happy 49.5%
Confused 49.5%
Surprised 49.5%
Disgusted 49.5%
Calm 49.5%

AWS Rekognition

Age 26-44
Gender Female, 50.3%
Confused 49.6%
Calm 49.5%
Disgusted 49.6%
Happy 49.8%
Angry 49.6%
Sad 49.7%
Surprised 49.6%

AWS Rekognition

Age 4-9
Gender Female, 50.4%
Calm 49.6%
Disgusted 49.5%
Confused 49.5%
Happy 49.6%
Angry 49.6%
Surprised 49.5%
Sad 50.3%

AWS Rekognition

Age 26-43
Gender Female, 50.3%
Sad 49.8%
Disgusted 49.5%
Angry 49.6%
Surprised 49.5%
Calm 49.8%
Confused 49.5%
Happy 49.8%

AWS Rekognition

Age 4-7
Gender Female, 50.5%
Calm 49.6%
Disgusted 49.5%
Angry 49.5%
Sad 50.3%
Happy 49.5%
Confused 49.5%
Surprised 49.5%

AWS Rekognition

Age 15-25
Gender Female, 50.4%
Angry 49.5%
Surprised 49.5%
Confused 49.6%
Sad 50%
Disgusted 49.6%
Happy 49.7%
Calm 49.6%

AWS Rekognition

Age 11-18
Gender Female, 50.3%
Disgusted 49.5%
Confused 49.5%
Angry 49.6%
Calm 49.5%
Surprised 49.5%
Happy 49.5%
Sad 50.4%

AWS Rekognition

Age 20-38
Gender Female, 50.4%
Angry 49.5%
Happy 49.6%
Disgusted 49.5%
Confused 49.5%
Surprised 49.5%
Sad 50.3%
Calm 49.5%

AWS Rekognition

Age 4-9
Gender Male, 50%
Sad 50%
Confused 49.6%
Angry 49.8%
Surprised 49.5%
Happy 49.5%
Calm 49.5%
Disgusted 49.5%

AWS Rekognition

Age 20-38
Gender Female, 50.5%
Confused 49.6%
Happy 49.7%
Angry 49.6%
Sad 49.6%
Calm 49.8%
Disgusted 49.7%
Surprised 49.6%

AWS Rekognition

Age 11-18
Gender Female, 50.4%
Confused 49.5%
Sad 50%
Angry 49.5%
Disgusted 49.5%
Calm 49.6%
Surprised 49.5%
Happy 49.8%

AWS Rekognition

Age 15-25
Gender Female, 50.4%
Calm 49.5%
Happy 49.6%
Angry 49.5%
Sad 50.3%
Surprised 49.5%
Confused 49.5%
Disgusted 49.5%

AWS Rekognition

Age 11-18
Gender Female, 50.4%
Disgusted 49.5%
Confused 49.5%
Surprised 49.5%
Calm 49.5%
Happy 49.5%
Angry 49.6%
Sad 50.3%

AWS Rekognition

Age 4-9
Gender Female, 50.5%
Happy 50%
Surprised 49.5%
Angry 49.6%
Sad 49.7%
Confused 49.5%
Calm 49.6%
Disgusted 49.5%

AWS Rekognition

Age 15-25
Gender Female, 50.5%
Happy 49.6%
Surprised 49.5%
Angry 49.6%
Sad 49.8%
Confused 49.6%
Disgusted 49.9%
Calm 49.5%

AWS Rekognition

Age 16-27
Gender Female, 50.4%
Happy 49.5%
Surprised 49.5%
Calm 49.6%
Confused 49.5%
Disgusted 49.5%
Angry 49.5%
Sad 50.3%

AWS Rekognition

Age 26-43
Gender Female, 50.2%
Angry 49.8%
Calm 49.5%
Sad 50.1%
Disgusted 49.5%
Happy 49.5%
Confused 49.5%
Surprised 49.5%

AWS Rekognition

Age 19-36
Gender Female, 50.5%
Sad 50.4%
Angry 49.5%
Calm 49.5%
Confused 49.5%
Happy 49.5%
Surprised 49.5%
Disgusted 49.5%

AWS Rekognition

Age 19-36
Gender Female, 50.3%
Angry 49.6%
Calm 50.1%
Sad 49.7%
Confused 49.5%
Disgusted 49.5%
Happy 49.5%
Surprised 49.5%

AWS Rekognition

Age 26-43
Gender Female, 50.4%
Sad 49.6%
Surprised 49.6%
Calm 50.2%
Happy 49.5%
Disgusted 49.5%
Confused 49.6%
Angry 49.5%

AWS Rekognition

Age 6-13
Gender Female, 50.5%
Calm 49.5%
Surprised 49.5%
Disgusted 49.5%
Confused 49.5%
Sad 50.3%
Happy 49.6%
Angry 49.5%

AWS Rekognition

Age 35-53
Gender Female, 50.1%
Sad 49.6%
Happy 49.7%
Calm 50%
Surprised 49.5%
Angry 49.6%
Disgusted 49.5%
Confused 49.6%

AWS Rekognition

Age 27-44
Gender Female, 50.1%
Confused 49.5%
Angry 49.5%
Calm 49.6%
Disgusted 49.5%
Sad 50.3%
Happy 49.5%
Surprised 49.5%

AWS Rekognition

Age 60-90
Gender Female, 50.4%
Angry 49.6%
Surprised 49.6%
Disgusted 49.6%
Happy 49.7%
Calm 49.6%
Sad 49.9%
Confused 49.5%

AWS Rekognition

Age 20-38
Gender Female, 50.5%
Sad 49.9%
Confused 49.6%
Calm 49.7%
Disgusted 49.6%
Happy 49.6%
Angry 49.6%
Surprised 49.6%

AWS Rekognition

Age 16-27
Gender Female, 50.3%
Calm 49.6%
Surprised 49.6%
Disgusted 49.6%
Confused 49.6%
Happy 49.6%
Angry 49.7%
Sad 49.9%

AWS Rekognition

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

AWS Rekognition

Age 20-38
Gender Male, 50.1%
Disgusted 49.5%
Calm 50.2%
Angry 49.6%
Sad 49.6%
Happy 49.5%
Surprised 49.5%
Confused 49.5%

AWS Rekognition

Age 26-43
Gender Female, 50.5%
Disgusted 49.5%
Surprised 49.5%
Confused 49.6%
Sad 49.6%
Angry 49.6%
Calm 50.2%
Happy 49.5%

Feature analysis

Amazon

Person 93.7%

Captions

Microsoft

a close up of a piece of paper 75.9%
close up of a piece of paper 74.7%
a piece of paper 74%

Text analysis

Amazon

Margaret
Queen
Anderston.
Queen Margaret Collegre Settlement. Anderston. Glasgrow, Seotland.
Seotland.
Collegre
Settlement.
Glasgrow,
Childran
Imvolid Childran
Imvolid
G SM LLI

Google

GSe ana.is Queen Margaret College Settlement, Anderston, Glasgow, Scotland. Invalid Children
Margaret
Glasgow,
Scotland.
Invalid
Children
GSe
ana.is
Queen
College
Settlement,
Anderston,