Human Generated Data

Title

Industrial Problems, Welfare Work: United States. Pennsylvania. Philadelphia. H. J. Heinz Company: Banquet tendered the branch house managers and travellers of H.J. Heinz Co. at Hotel Schenley, Pittsburgh, PA. Jan. 10th 1902.

Date

1902

People

Artist: Unidentified Artist,

Classification

Photographs

Human Generated Data

Title

Industrial Problems, Welfare Work: United States. Pennsylvania. Philadelphia. H. J. Heinz Company: Banquet tendered the branch house managers and travellers of H.J. Heinz Co. at Hotel Schenley, Pittsburgh, PA. Jan. 10th 1902.

People

Artist: Unidentified Artist,

Date

1902

Classification

Photographs

Machine Generated Data

Tags

Amazon

Indoors 96.1
Crowd 95.2
Hall 92.3
Audience 92.2
Auditorium 91.5
Room 91.5
Theater 91.5
Funeral 89.1
Building 73
Architecture 70.8
Lamp 62.1
Chandelier 62.1
Concert 61.9
Chair 57.9
Furniture 57.9
Advertisement 57.1
Poster 57.1
Speech 56
Lecture 56

Clarifai

people 97.4
man 94.9
retro 86.1
paper 83.6
crowd 83.1
woman 80.2
business 79.1
old 78.9
travel 78.6
illustration 77.5
no person 77.4
adult 76.6
architecture 75.4
group 74.4
indoors 74.1
ancient 73.7
antique 72.5
desktop 72.3
symbol 71.7
art 67.2

Imagga

envelope 54.5
container 52.8
vintage 41.3
old 37.6
jigsaw puzzle 34.4
retro 33.6
grunge 31.5
paper 31.4
puzzle 27.2
aged 26.2
antique 25.2
texture 25
ancient 22.5
currency 18.8
game 18.6
frame 18.3
border 18.1
letter 17.4
money 17
stamp 17
design 16.4
bill 16.2
postmark 15.8
pillow 15.6
mail 15.3
grungy 15.2
postage 14.7
cash 14.6
card 14.6
art 14.5
finance 14.4
wallpaper 13.8
map 13.7
empty 12.9
global 12.8
postal 12.8
dirty 12.7
bank 12.5
box 12.4
rusty 12.4
pattern 12.3
cushion 12.1
material 11.6
business 11.5
post 11.4
page 11.1
note 11
history 10.7
color 10.6
parchment 10.6
international 10.5
tray 10.3
graphic 10.2
backdrop 9.9
circa 9.9
atlas 9.8
world 9.7
banknote 9.7
lace 9.7
decay 9.6
geography 9.6
brown 9.6
damaged 9.5
space 9.3
philately 8.9
stamps 8.9
grime 8.8
symbol 8.8
crumpled 8.7
torn 8.7
states 8.7
worn 8.6
blank 8.6
carton 8.4
communication 8.4
rich 8.4
padding 8.4
dollar 8.4
receptacle 8.3
banner 8.3
historic 8.2
message 8.2
collection 8.1
decoration 8.1
bag 8
country 7.9
text 7.9
hundred 7.7
rust 7.7
wall 7.7
used 7.7
exchange 7.6
england 7.6
united 7.6
textures 7.6
book 7.5
savings 7.5
close 7.4
banking 7.4
rough 7.3
office 7.2
decor 7.1

Google

Microsoft

person 96.6

Face analysis

Amazon

AWS Rekognition

Age 19-36
Gender Male, 50.4%
Sad 49.5%
Happy 49.6%
Angry 49.6%
Calm 49.9%
Surprised 49.5%
Confused 49.6%
Disgusted 49.7%

AWS Rekognition

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

AWS Rekognition

Age 30-47
Gender Female, 50.1%
Sad 50.2%
Confused 49.5%
Angry 49.8%
Surprised 49.5%
Happy 49.5%
Calm 49.5%
Disgusted 49.5%

AWS Rekognition

Age 35-52
Gender Female, 50.1%
Confused 49.5%
Sad 49.7%
Surprised 49.6%
Happy 49.5%
Angry 49.6%
Disgusted 49.5%
Calm 50%

AWS Rekognition

Age 35-52
Gender Female, 50.5%
Calm 49.8%
Happy 49.6%
Angry 49.5%
Sad 49.9%
Surprised 49.5%
Confused 49.5%
Disgusted 49.6%

AWS Rekognition

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

AWS Rekognition

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

AWS Rekognition

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

AWS Rekognition

Age 26-43
Gender Female, 50.3%
Disgusted 49.5%
Happy 49.6%
Confused 49.5%
Sad 49.7%
Calm 49.9%
Angry 49.7%
Surprised 49.5%

AWS Rekognition

Age 35-52
Gender Male, 50.3%
Angry 49.7%
Sad 49.6%
Disgusted 49.5%
Happy 49.6%
Calm 50%
Confused 49.6%
Surprised 49.5%

AWS Rekognition

Age 23-38
Gender Female, 50.4%
Calm 49.7%
Happy 49.6%
Sad 49.9%
Surprised 49.6%
Disgusted 49.6%
Angry 49.6%
Confused 49.6%

AWS Rekognition

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

AWS Rekognition

Age 30-47
Gender Male, 50.2%
Disgusted 49.7%
Happy 49.6%
Sad 49.5%
Angry 49.6%
Calm 49.9%
Confused 49.6%
Surprised 49.5%

AWS Rekognition

Age 26-43
Gender Female, 50.3%
Sad 49.6%
Surprised 49.6%
Angry 49.6%
Disgusted 49.5%
Confused 49.6%
Happy 49.7%
Calm 49.8%

AWS Rekognition

Age 35-52
Gender Male, 50%
Calm 49.7%
Sad 50.1%
Happy 49.5%
Angry 49.6%
Disgusted 49.5%
Confused 49.6%
Surprised 49.6%

Feature analysis

Amazon

Chandelier 62.1%
Poster 57.1%

Captions

Microsoft

a crowd of people in a room 46.4%
a group of people in a room 33.7%

Text analysis

Amazon

HOUSE
TRAVELLERS
SCHENLEY
BRANCH
MANAGERS
AND
HOTEL
THE
1902.
AT
OF
TENDERED
PITTSBURGH. PA.
H.J.HEINZ
BANCIET TENDERED THE BRANCH HOUSE MANAGERS AND TRAVELLERS
OF H.J.HEINZ Co. AT HOTEL SCHENLEY PITTSBURGH. PA. PA. 1902.
PA.
JAN.70th
Co.
BANCIET

Google

BANCIIET TENDERED THE BRANCH HOUuSE MANAGERS AND TRAVELLERS OF H.J.HEINZ CO. AT HOTEL SCHENLEY PITTSBURGH, PA. JAN. 10th 1902.
HOUuSE
MANAGERS
H.J.HEINZ
AT
HOTEL
SCHENLEY
JAN.
10th
TRAVELLERS
PA.
BRANCH
AND
PITTSBURGH,
TENDERED
THE
OF
1902.
BANCIIET
CO.