Human Generated Data

Title

Industrial Problems, Types of Working People: Great Britain, England. London. Special Occupations: Social Conditions in London, England: 1905: London Life- A Sandwichman & Newsvendor

Date

1905

People

Artist: Unidentified Artist,

Classification

Photographs

Human Generated Data

Title

Industrial Problems, Types of Working People: Great Britain, England. London. Special Occupations: Social Conditions in London, England: 1905: London Life- A Sandwichman & Newsvendor

People

Artist: Unidentified Artist,

Date

1905

Classification

Photographs

Machine Generated Data

Tags

Amazon

Person 97.4
Human 97.4
Person 97.2
Person 97.2
Text 96.7
Person 88.5
Advertisement 87.6
Poster 87.6
Clothing 85
Footwear 85
Shoe 85
Apparel 85
Paper 75.3
Flyer 75.3
Brochure 75.3
Crowd 74.6
Newspaper 70.5
People 67.6
Parade 67.2
Pedestrian 62.7
Face 61.8
Overcoat 59.9
Shoe 59.6
Head 57.2
Photo 56.8
Photography 56.8
Protest 56.5
Coat 55.7

Clarifai

people 99.9
adult 98.4
group together 97.5
group 97
war 95.4
administration 95
man 94.8
many 93.3
military 91.9
leader 90.7
one 89.4
woman 89.1
street 88
several 87.8
monochrome 86.7
wear 85.3
two 85
vehicle 84.7
offense 82.5
three 81.7

Imagga

newspaper 35.7
daily 29.6
statue 29.3
product 27.7
sculpture 25
architecture 23.4
creation 21.6
building 21.4
monument 19.6
old 17.4
shop 16.4
ancient 16.4
city 15.8
stone 15.4
art 14.4
religion 14.3
tourism 14
man 13.5
culture 12.8
barbershop 11.7
vintage 11.7
travel 11.3
antique 11.3
famous 11.2
mercantile establishment 11
facade 10.9
landmark 10.8
history 10.7
tourist 10
male 9.9
marble 9.7
historical 9.4
person 9
musical instrument 8.8
catholic 8.8
god 8.6
religious 8.4
house 8.4
window 8.4
church 8.3
sky 8.3
sign 8.3
historic 8.3
business 7.9
wall 7.7
wind instrument 7.6
place of business 7.3
black 7.3
success 7.2

Google

Snapshot 82.9
Poster 66.1
Photography 62.4
Black-and-white 56.4
Art 50.2

Microsoft

clothing 98.9
person 97.7
man 95.4
outdoor 95.3
text 93.5
black and white 88.6
newspaper 84.6
handwriting 74.7
poster 65.9

Face analysis

Amazon

Google

AWS Rekognition

Age 26-43
Gender Male, 99.2%
Surprised 1.6%
Happy 0.7%
Disgusted 3.7%
Sad 11.3%
Angry 6.3%
Calm 65.7%
Confused 10.6%

AWS Rekognition

Age 45-66
Gender Male, 54.8%
Angry 47.1%
Disgusted 45.5%
Surprised 45.3%
Confused 45.4%
Happy 45.1%
Sad 45.5%
Calm 51.1%

AWS Rekognition

Age 23-38
Gender Female, 53.9%
Happy 45.5%
Disgusted 45.4%
Confused 45.6%
Surprised 45.3%
Sad 46.6%
Angry 48.8%
Calm 47.9%

Google Vision

Surprise Very unlikely
Anger Very unlikely
Sorrow Very unlikely
Joy Very unlikely
Headwear Very likely
Blurred Very unlikely

Feature analysis

Amazon

Person 97.4%
Shoe 85%
Coat 55.7%

Captions

Microsoft

a group of people posing for the camera 80.9%
a group of people posing for a picture 80.8%
a group of people holding a sign 79%

Text analysis

Amazon

HARVEY
HAMLET
MARTIN
LYRIC
MARTIN HARVEY
SANDWICHMAN
NEWSVENDOR
LIFE
LONDON
Harry
Milton
&
LONDON LIFE A SANDWICHMAN & NEWSVENDOR A17
Charles
Phillips
Stephen
Paulton
Mr Mr Harry Charles Paulton
Maud
A
Miss
A17
Miss Maud Milton Glenney
Glenney
Mr
Mr Stephen Phillips
de
Silva
Miss N de Silva
N
DRIC
IEAVTRER

Google

LYRIC
RS&GEORCE
trv
9murPiecady
MARTIN
HAMLET
Mr
Stephen
Ch
Glenney
Miss
WR.SMITH&C
SANDWICHMAN
A
17
HARVEY
OS
9RIC
C
N.
LONDON
Phillips
aulton
Milto
Silva
Shatbury
Maud
de
&
LYRIC MARTIN HARVEY OS HAMLET RS&GEORCE We.SMITR&CL trv 9RIC HEATRE Shatbury 9murPiecady C MARTIN HARVEY HAMLET Mr Stephen Phillips Mr Ch aulton Glenney Miss Maud Milto Miss N. de Silva WR.SMITH&C LONDON LIFE A SANDWICHMAN & NEWSVENDOR A 17
We.SMITR&CL
HEATRE
LIFE
NEWSVENDOR