Human Generated Data

Title

Industrial Problems, Welfare Work: United States. Pennsylvania. Pittsburgh. H.J. Heinz Company: Weekly Lecture in Auditorium.
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, 3.2002.368

Human Generated Data

Title

Industrial Problems, Welfare Work: United States. Pennsylvania. Pittsburgh. H.J. Heinz Company: Weekly Lecture in Auditorium.

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, 3.2002.368

Machine Generated Data

Tags

Amazon
created on 2019-06-05

Interior Design 99.9
Indoors 99.9
Hall 99.6
Theater 99.6
Auditorium 99.6
Room 99.6
Crowd 97.1
Human 97.1
Audience 95.8
Person 90.3
Lighting 89.9
Stage 87.1
Person 83.7
Person 83.7
Person 80.3
Person 79.8
Person 79.5
Person 79.4
Person 78.9
Person 73.3
Person 72.7
Person 72.5
Person 68.2
Concert 67.9
Person 58.7
Person 58.1
Poster 55.1
Advertisement 55.1
Person 43.8

Clarifai
created on 2019-06-05

people 99.1
indoors 97.3
adult 97.3
no person 93.4
room 91.3
many 88.5
industry 87.5
man 86.6
one 86.4
education 85.9
horizontal 85.7
technology 85.1
furniture 83
outdoors 81.9
business 81.5
science 80.8
group 78.8
chair 78.1
school 78
monochrome 77.7

Imagga
created on 2019-06-05

blackboard 100
grunge 28.1
brass 25.3
vintage 24.8
old 23
structure 22.8
memorial 22.4
design 21.9
texture 21.5
pattern 19.8
retro 18.8
chalk 18.5
business 17
frame 16.6
border 16.3
dirty 16.3
damaged 16.2
black 15.6
antique 15.6
graphic 15.3
material 15.2
text 14
chalkboard 13.7
rough 13.7
computer 13.6
board 13.6
finance 13.5
grungy 13.3
digital 13
aged 12.7
space 12.4
art 12.4
wall 11.1
messy 10.6
weathered 10.4
technology 10.4
ancient 10.4
money 10.2
card 10.2
paper 10.2
communication 10.1
dark 10
color 10
paint 10
designed 9.8
success 9.7
collage 9.6
rust 9.6
education 9.5
symbol 9.4
screen 9.4
financial 8.9
written 8.8
photographic 8.8
noise 8.8
your 8.7
dirt 8.6
rusty 8.6
wallpaper 8.4
data 8.2
decoration 8
noisy 7.9
layered 7.9
mess 7.9
frames 7.8
slide 7.8
negative 7.8
nobody 7.8
strip 7.8
movie 7.8
layer 7.7
class 7.7
edge 7.7
film 7.7
mask 7.7
marketing 7.7
element 7.4
dollar 7.4
letter 7.3
message 7.3
currency 7.2
bank 7.2
science 7.1

Google
created on 2019-06-05

Font 68.6

Microsoft
created on 2019-06-05

indoor 93.8
person 56.2

Color Analysis

Face analysis

Amazon

AWS Rekognition

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

AWS Rekognition

Age 48-68
Gender Male, 50.4%
Calm 49.8%
Surprised 49.5%
Happy 49.6%
Disgusted 49.7%
Angry 49.5%
Sad 49.8%
Confused 49.5%

AWS Rekognition

Age 38-59
Gender Female, 50%
Angry 49.6%
Surprised 49.5%
Disgusted 49.5%
Sad 50.3%
Happy 49.5%
Confused 49.5%
Calm 49.6%

AWS Rekognition

Age 45-65
Gender Female, 50%
Disgusted 49.5%
Confused 49.5%
Happy 49.5%
Sad 50.2%
Surprised 49.5%
Calm 49.6%
Angry 49.6%

AWS Rekognition

Age 35-52
Gender Male, 50.2%
Happy 49.7%
Disgusted 49.6%
Sad 49.9%
Surprised 49.5%
Confused 49.6%
Calm 49.5%
Angry 49.7%

AWS Rekognition

Age 35-52
Gender Female, 50.1%
Disgusted 49.6%
Confused 49.5%
Surprised 49.5%
Calm 49.6%
Happy 49.5%
Angry 49.7%
Sad 49.9%

AWS Rekognition

Age 45-65
Gender Male, 50.5%
Sad 50%
Happy 49.5%
Surprised 49.5%
Disgusted 49.6%
Confused 49.6%
Calm 49.7%
Angry 49.6%

AWS Rekognition

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

AWS Rekognition

Age 60-90
Gender Male, 50.5%
Surprised 49.5%
Happy 49.5%
Confused 49.6%
Calm 49.6%
Disgusted 49.8%
Sad 49.7%
Angry 49.8%

AWS Rekognition

Age 45-66
Gender Male, 50.3%
Happy 49.5%
Disgusted 49.6%
Angry 49.5%
Confused 49.5%
Calm 49.5%
Surprised 49.5%
Sad 50.4%

AWS Rekognition

Age 48-68
Gender Male, 50.2%
Angry 49.6%
Disgusted 49.5%
Sad 50.3%
Surprised 49.5%
Happy 49.5%
Calm 49.5%
Confused 49.5%

AWS Rekognition

Age 45-63
Gender Male, 50.2%
Calm 49.6%
Disgusted 49.8%
Angry 49.6%
Happy 49.6%
Sad 49.9%
Surprised 49.5%
Confused 49.6%

AWS Rekognition

Age 17-27
Gender Female, 50.4%
Angry 49.6%
Calm 49.7%
Sad 50%
Surprised 49.5%
Disgusted 49.6%
Happy 49.6%
Confused 49.5%

AWS Rekognition

Age 48-68
Gender Female, 50%
Angry 49.7%
Disgusted 49.9%
Sad 49.8%
Calm 49.5%
Happy 49.5%
Surprised 49.5%
Confused 49.5%

AWS Rekognition

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

AWS Rekognition

Age 35-55
Gender Female, 50.4%
Angry 49.5%
Calm 49.5%
Disgusted 50.3%
Happy 49.5%
Surprised 49.5%
Sad 49.6%
Confused 49.5%

AWS Rekognition

Age 48-68
Gender Male, 50.1%
Angry 49.7%
Confused 49.5%
Calm 49.8%
Surprised 49.6%
Sad 49.7%
Happy 49.6%
Disgusted 49.6%

AWS Rekognition

Age 26-43
Gender Male, 50.1%
Calm 49.6%
Confused 49.6%
Happy 49.7%
Disgusted 49.6%
Sad 49.9%
Angry 49.6%
Surprised 49.5%

AWS Rekognition

Age 45-63
Gender Female, 50%
Sad 50.2%
Disgusted 49.6%
Surprised 49.5%
Happy 49.5%
Confused 49.5%
Calm 49.6%
Angry 49.5%

AWS Rekognition

Age 45-65
Gender Male, 50.3%
Disgusted 49.5%
Sad 50.3%
Calm 49.6%
Surprised 49.5%
Angry 49.5%
Happy 49.5%
Confused 49.5%

AWS Rekognition

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

AWS Rekognition

Age 45-66
Gender Female, 50%
Confused 49.5%
Disgusted 50%
Surprised 49.5%
Sad 49.7%
Angry 49.6%
Happy 49.5%
Calm 49.6%

AWS Rekognition

Age 26-44
Gender Male, 50.4%
Angry 49.6%
Happy 49.5%
Confused 49.5%
Surprised 49.5%
Sad 50.2%
Disgusted 49.6%
Calm 49.6%

AWS Rekognition

Age 35-53
Gender Male, 50.4%
Happy 49.6%
Surprised 49.5%
Confused 49.6%
Disgusted 49.6%
Calm 49.6%
Angry 49.6%
Sad 50%

AWS Rekognition

Age 35-52
Gender Male, 50.2%
Happy 49.5%
Sad 50.3%
Angry 49.5%
Surprised 49.5%
Calm 49.6%
Confused 49.5%
Disgusted 49.5%

AWS Rekognition

Age 20-38
Gender Female, 50%
Angry 49.7%
Disgusted 49.6%
Surprised 49.5%
Calm 49.6%
Sad 50%
Happy 49.6%
Confused 49.5%

AWS Rekognition

Age 26-43
Gender Female, 50.3%
Sad 50.1%
Angry 49.6%
Disgusted 49.5%
Surprised 49.5%
Happy 49.5%
Calm 49.6%
Confused 49.5%

AWS Rekognition

Age 35-52
Gender Female, 50.1%
Sad 50%
Angry 49.8%
Happy 49.5%
Surprised 49.5%
Confused 49.5%
Calm 49.5%
Disgusted 49.7%

AWS Rekognition

Age 26-43
Gender Female, 50.1%
Happy 49.8%
Disgusted 49.5%
Sad 50%
Surprised 49.5%
Confused 49.5%
Calm 49.5%
Angry 49.6%

AWS Rekognition

Age 26-43
Gender Male, 50.1%
Angry 49.8%
Surprised 49.5%
Disgusted 49.6%
Calm 49.6%
Sad 49.7%
Happy 49.6%
Confused 49.6%

AWS Rekognition

Age 11-18
Gender Female, 50.1%
Surprised 49.5%
Happy 49.6%
Confused 49.5%
Calm 49.6%
Disgusted 49.6%
Angry 49.6%
Sad 50.1%

AWS Rekognition

Age 17-27
Gender Male, 50.4%
Calm 49.9%
Disgusted 49.6%
Surprised 49.6%
Angry 49.6%
Sad 49.6%
Confused 49.6%
Happy 49.6%

AWS Rekognition

Age 26-44
Gender Male, 50.1%
Surprised 49.5%
Happy 49.5%
Sad 49.7%
Angry 49.8%
Disgusted 49.8%
Confused 49.5%
Calm 49.6%

AWS Rekognition

Age 35-53
Gender Female, 50.3%
Calm 49.8%
Disgusted 49.6%
Surprised 49.6%
Confused 49.5%
Angry 49.6%
Sad 49.9%
Happy 49.5%

AWS Rekognition

Age 17-27
Gender Female, 50.1%
Surprised 49.5%
Happy 49.5%
Confused 49.5%
Calm 49.5%
Disgusted 49.5%
Sad 50.5%
Angry 49.5%

AWS Rekognition

Age 35-52
Gender Female, 50.1%
Surprised 49.5%
Sad 50.3%
Disgusted 49.5%
Calm 49.5%
Happy 49.5%
Angry 49.6%
Confused 49.5%

AWS Rekognition

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

AWS Rekognition

Age 14-25
Gender Female, 50.3%
Angry 49.6%
Calm 49.6%
Surprised 49.6%
Sad 49.9%
Disgusted 49.6%
Happy 49.6%
Confused 49.6%

AWS Rekognition

Age 30-47
Gender Male, 50.2%
Angry 49.6%
Confused 49.5%
Calm 49.6%
Disgusted 49.9%
Happy 49.5%
Surprised 49.5%
Sad 49.8%

AWS Rekognition

Age 35-52
Gender Female, 50.5%
Surprised 49.6%
Angry 49.6%
Sad 49.7%
Happy 49.6%
Disgusted 49.5%
Calm 50%
Confused 49.6%

AWS Rekognition

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

AWS Rekognition

Age 35-52
Gender Male, 50.5%
Confused 49.6%
Surprised 49.5%
Angry 49.7%
Happy 49.6%
Sad 49.7%
Calm 49.8%
Disgusted 49.5%

AWS Rekognition

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

AWS Rekognition

Age 38-59
Gender Female, 50.1%
Angry 49.5%
Calm 49.5%
Disgusted 49.5%
Happy 49.5%
Surprised 49.5%
Sad 50.4%
Confused 49.5%

AWS Rekognition

Age 15-25
Gender Female, 50.2%
Angry 49.9%
Happy 49.5%
Calm 49.7%
Confused 49.5%
Sad 49.7%
Disgusted 49.6%
Surprised 49.6%

AWS Rekognition

Age 35-52
Gender Female, 50.4%
Calm 49.5%
Confused 49.6%
Happy 49.9%
Surprised 49.6%
Angry 49.6%
Disgusted 49.6%
Sad 49.8%

AWS Rekognition

Age 11-18
Gender Female, 50.1%
Angry 49.5%
Surprised 49.5%
Calm 49.5%
Happy 49.5%
Confused 49.5%
Disgusted 49.6%
Sad 50.2%

AWS Rekognition

Age 48-68
Gender Female, 50.1%
Happy 49.5%
Sad 49.6%
Confused 49.5%
Calm 50%
Angry 49.6%
Disgusted 49.7%
Surprised 49.5%

AWS Rekognition

Age 23-38
Gender Female, 50.2%
Disgusted 50%
Confused 49.5%
Happy 49.6%
Sad 49.7%
Surprised 49.5%
Calm 49.5%
Angry 49.6%

AWS Rekognition

Age 48-68
Gender Female, 50.4%
Disgusted 49.6%
Confused 49.5%
Surprised 49.6%
Calm 49.9%
Happy 49.6%
Angry 49.6%
Sad 49.7%

AWS Rekognition

Age 38-57
Gender Female, 50.2%
Angry 49.5%
Calm 49.5%
Sad 50.4%
Surprised 49.5%
Disgusted 49.5%
Happy 49.5%
Confused 49.5%

AWS Rekognition

Age 26-43
Gender Female, 50.2%
Angry 49.6%
Sad 50%
Disgusted 49.8%
Happy 49.5%
Confused 49.5%
Calm 49.6%
Surprised 49.5%

AWS Rekognition

Age 26-43
Gender Male, 50.4%
Happy 49.5%
Surprised 49.5%
Confused 49.5%
Disgusted 49.5%
Calm 49.8%
Angry 49.9%
Sad 49.7%

AWS Rekognition

Age 6-13
Gender Female, 50.1%
Calm 49.7%
Surprised 49.5%
Confused 49.5%
Sad 50.1%
Angry 49.5%
Disgusted 49.6%
Happy 49.6%

AWS Rekognition

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

AWS Rekognition

Age 35-52
Gender Female, 50%
Angry 49.6%
Happy 49.7%
Confused 49.6%
Surprised 49.5%
Sad 49.9%
Disgusted 49.6%
Calm 49.6%

AWS Rekognition

Age 26-43
Gender Female, 50.3%
Happy 49.5%
Disgusted 49.5%
Angry 49.7%
Confused 49.5%
Calm 49.5%
Surprised 49.5%
Sad 50.2%

AWS Rekognition

Age 26-43
Gender Male, 50.2%
Sad 49.9%
Calm 49.6%
Happy 49.6%
Surprised 49.6%
Angry 49.6%
Disgusted 49.6%
Confused 49.7%

AWS Rekognition

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

AWS Rekognition

Age 30-47
Gender Female, 50%
Surprised 49.6%
Calm 49.5%
Happy 49.5%
Angry 49.6%
Sad 49.9%
Disgusted 49.8%
Confused 49.5%

AWS Rekognition

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

AWS Rekognition

Age 45-63
Gender Female, 50%
Disgusted 49.7%
Sad 49.9%
Calm 49.6%
Surprised 49.6%
Angry 49.7%
Happy 49.6%
Confused 49.6%

AWS Rekognition

Age 14-25
Gender Female, 50.2%
Angry 49.7%
Calm 49.7%
Disgusted 49.7%
Surprised 49.6%
Sad 49.7%
Happy 49.6%
Confused 49.5%

AWS Rekognition

Age 14-23
Gender Male, 50%
Confused 49.5%
Calm 49.5%
Disgusted 49.5%
Sad 50.3%
Happy 49.5%
Angry 49.6%
Surprised 49.5%

AWS Rekognition

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

AWS Rekognition

Age 30-47
Gender Female, 50.1%
Sad 50.3%
Angry 49.5%
Disgusted 49.5%
Surprised 49.5%
Happy 49.5%
Calm 49.6%
Confused 49.5%

AWS Rekognition

Age 14-25
Gender Male, 50.5%
Angry 49.6%
Surprised 49.5%
Disgusted 49.5%
Calm 49.9%
Sad 49.9%
Happy 49.5%
Confused 49.6%

AWS Rekognition

Age 57-77
Gender Female, 50%
Surprised 49.5%
Disgusted 49.5%
Angry 49.6%
Sad 50.3%
Happy 49.5%
Confused 49.5%
Calm 49.5%

AWS Rekognition

Age 2-5
Gender Female, 50.4%
Calm 49.7%
Disgusted 49.5%
Surprised 49.5%
Confused 49.5%
Angry 49.5%
Sad 50.3%
Happy 49.5%

AWS Rekognition

Age 35-52
Gender Female, 50.3%
Calm 49.6%
Confused 49.5%
Happy 49.5%
Disgusted 49.9%
Sad 49.8%
Angry 49.6%
Surprised 49.5%

AWS Rekognition

Age 29-45
Gender Male, 50%
Angry 49.6%
Sad 50.1%
Calm 49.6%
Disgusted 49.5%
Happy 49.5%
Surprised 49.5%
Confused 49.5%

AWS Rekognition

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

AWS Rekognition

Age 35-52
Gender Female, 50.4%
Confused 49.6%
Surprised 49.6%
Angry 49.6%
Happy 49.7%
Sad 49.6%
Calm 49.9%
Disgusted 49.5%

AWS Rekognition

Age 20-38
Gender Male, 50.3%
Disgusted 49.5%
Calm 49.7%
Confused 49.7%
Happy 49.5%
Surprised 49.6%
Angry 49.5%
Sad 49.9%

AWS Rekognition

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

AWS Rekognition

Age 26-44
Gender Female, 50.2%
Calm 49.7%
Angry 49.7%
Happy 49.5%
Sad 50%
Surprised 49.5%
Confused 49.6%
Disgusted 49.6%

AWS Rekognition

Age 26-43
Gender Female, 50.1%
Angry 49.6%
Sad 49.7%
Disgusted 49.9%
Calm 49.6%
Surprised 49.6%
Confused 49.5%
Happy 49.6%

AWS Rekognition

Age 35-52
Gender Male, 50.3%
Happy 50.1%
Disgusted 49.6%
Angry 49.5%
Confused 49.5%
Calm 49.5%
Surprised 49.6%
Sad 49.5%

AWS Rekognition

Age 26-43
Gender Female, 50.2%
Angry 49.6%
Sad 50.1%
Disgusted 49.6%
Happy 49.5%
Confused 49.5%
Calm 49.7%
Surprised 49.5%

AWS Rekognition

Age 35-52
Gender Female, 50.2%
Sad 49.9%
Calm 49.8%
Disgusted 49.6%
Confused 49.5%
Angry 49.6%
Surprised 49.5%
Happy 49.5%

Feature analysis

Amazon

Person 90.3%
Poster 55.1%

Categories

Imagga

interior objects 42.8%
text visuals 39.2%
streetview architecture 15.7%

Captions

Microsoft
created on 2019-06-05

a glass display case 31.8%
a display in a store 31.7%
a close up of a glass display case 31.6%

Text analysis

Amazon

AUDITORIUM
LECTURE
WEEKLY LECTURE IN AUDITORIUM
WEEKLY
IN

Google

WEEKLY LECTURE IN AUDITORIUM
WEEKLY
LECTURE
IN
AUDITORIUM