Human Generated Data

Title

Untitled (group "Kramer Evangelist Meetings")
Date

1926?
People

Artist: Durette Studio, American 20th century
Classification

Photographs
Credit Line

Harvard Art Museums/Fogg Museum, Transfer from the Carpenter Center for the Visual Arts, American Professional Photographers Collection, 4.2002.4399

Human Generated Data

Title

Untitled (group "Kramer Evangelist Meetings")

People

Artist: Durette Studio, American 20th century

Date

1926?

Classification

Photographs

Credit Line

Harvard Art Museums/Fogg Museum, Transfer from the Carpenter Center for the Visual Arts, American Professional Photographers Collection, 4.2002.4399

Machine Generated Data

Tags

Amazon
created on 2019-06-01

Interior Design 98.3
Indoors 98.3
Room 83
Advertisement 77.3
Poster 76.9
Collage 76.9
Living Room 75.4
Text 66.9
Human 64.2
Person 64.2
Art 62.7
Shop 62.5
Meal 62.3
Food 62.3
Paper 61.9
Dish 58.5
People 57.4
Person 52.8
Person 43.4

Clarifai
created on 2019-06-01

room 95.7
indoors 95.6
inside 94.8
museum 94.1
exhibition 93.9
people 93.7
furniture 93.6
monochrome 93.5
modern 91.8
architecture 91.4
city 90.6
window 90.2
image 90.2
group 90.1
woman 88.4
wall 88.3
adult 88.1
family 86.9
decoration 86.2
many 85.7

Imagga
created on 2019-06-01

grunge 34
old 32
vintage 27.3
structure 24
antique 22.6
texture 22.2
architecture 22.1
retro 21.3
aged 20.8
pattern 20.5
picket fence 20.4
design 20.3
dirty 19.9
art 19.7
frame 19.4
grungy 19
house 18.4
fence 17.9
building 17.3
negative 16.9
paint 16.3
space 16.3
film 16.1
graphic 16
screen 15.6
wallpaper 15.3
decoration 14.9
material 14.3
modern 14
text 14
wall 13.5
paper 13.4
window 12.9
stucco 12.9
barrier 12.7
border 12.7
style 12.6
damaged 12.4
balcony 12.2
rough 11.8
home 11.8
edge 11.5
empty 11.2
flower 10.8
scratch 10.7
rust 10.6
detailed 10.6
digital 10.5
urban 10.5
windowsill 10.4
construction 10.3
black 10.2
drawing 10.1
photographic 9.8
slide 9.8
messy 9.7
collage 9.6
artistic 9.6
dirt 9.5
color 9.5
sill 9.4
light 9.4
decorative 9.2
travel 9.2
city 9.1
element 9.1
noisy 8.9
decor 8.8
noise 8.8
movie 8.7
ancient 8.6
windows 8.6
mask 8.6
weathered 8.5
obstruction 8.4
room 8.3
chandelier 8.1
history 8
computer 8
world 8
interior 8
textured 7.9
highly 7.9
scratches 7.9
designed 7.9
layered 7.9
mess 7.9
frames 7.8
strip 7.8
your 7.7
layer 7.7
decay 7.7
floral 7.7
international 7.6
window screen 7.4
brown 7.4
backgrounds 7.3

Google
created on 2019-06-01

Photograph 96.8
Snapshot 84.3
Picture frame 80.1
Photography 67.8
Room 65.7
Stock photography 64
Black-and-white 56.4
Art 50.2
Collection 50

Microsoft
created on 2019-06-01

white 71.9
old 51.2

Color Analysis

Face analysis

Amazon

AWS Rekognition

Age 20-38
Gender Female, 50.3%
Surprised 49.6%
Sad 49.6%
Angry 49.6%
Disgusted 49.5%
Calm 50.1%
Happy 49.5%
Confused 49.6%

AWS Rekognition

Age 20-38
Gender Female, 50.4%
Angry 49.5%
Surprised 49.5%
Disgusted 49.5%
Sad 50.1%
Calm 49.8%
Happy 49.5%
Confused 49.5%

AWS Rekognition

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

AWS Rekognition

Age 23-38
Gender Female, 50.3%
Calm 49.6%
Surprised 49.6%
Sad 49.6%
Confused 49.5%
Disgusted 49.8%
Happy 49.7%
Angry 49.7%

AWS Rekognition

Age 26-43
Gender Female, 50.3%
Confused 49.6%
Disgusted 49.6%
Calm 49.6%
Angry 49.6%
Sad 50%
Happy 49.5%
Surprised 49.5%

AWS Rekognition

Age 23-38
Gender Female, 50.4%
Happy 49.5%
Disgusted 49.5%
Angry 49.5%
Calm 50.1%
Surprised 49.5%
Confused 49.6%
Sad 49.6%

AWS Rekognition

Age 26-43
Gender Female, 50.1%
Surprised 49.5%
Happy 49.5%
Disgusted 49.5%
Calm 49.8%
Sad 49.9%
Confused 49.6%
Angry 49.6%

AWS Rekognition

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

AWS Rekognition

Age 26-43
Gender Female, 50.5%
Happy 49.6%
Sad 49.7%
Confused 49.8%
Angry 49.7%
Disgusted 49.5%
Surprised 49.6%
Calm 49.6%

AWS Rekognition

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

AWS Rekognition

Age 20-38
Gender Female, 50.1%
Angry 49.6%
Happy 49.6%
Confused 49.7%
Calm 49.8%
Surprised 49.6%
Sad 49.7%
Disgusted 49.6%

AWS Rekognition

Age 48-68
Gender Male, 50.2%
Happy 49.5%
Calm 49.7%
Angry 49.5%
Confused 49.5%
Surprised 49.5%
Sad 50.2%
Disgusted 49.5%

AWS Rekognition

Age 14-25
Gender Female, 50.4%
Sad 49.6%
Angry 49.6%
Calm 49.6%
Confused 49.6%
Disgusted 49.8%
Happy 49.6%
Surprised 49.6%

AWS Rekognition

Age 23-38
Gender Female, 50.5%
Confused 49.6%
Calm 50.1%
Sad 49.6%
Surprised 49.5%
Angry 49.5%
Disgusted 49.5%
Happy 49.7%

AWS Rekognition

Age 11-18
Gender Female, 50%
Surprised 49.5%
Confused 49.6%
Disgusted 49.5%
Happy 49.5%
Sad 49.9%
Calm 49.8%
Angry 49.7%

AWS Rekognition

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

AWS Rekognition

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

AWS Rekognition

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

AWS Rekognition

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

AWS Rekognition

Age 20-38
Gender Female, 50.2%
Disgusted 49.6%
Happy 49.5%
Surprised 49.6%
Sad 49.8%
Angry 49.6%
Confused 49.6%
Calm 49.7%

AWS Rekognition

Age 26-43
Gender Female, 50.5%
Sad 49.7%
Calm 49.8%
Surprised 49.6%
Angry 49.6%
Disgusted 49.6%
Happy 49.7%
Confused 49.5%

AWS Rekognition

Age 27-44
Gender Female, 50.5%
Angry 49.5%
Sad 49.5%
Disgusted 49.5%
Happy 49.6%
Calm 50.3%
Surprised 49.5%
Confused 49.5%

AWS Rekognition

Age 17-27
Gender Female, 50.5%
Happy 49.5%
Disgusted 49.5%
Sad 50.1%
Surprised 49.5%
Angry 49.5%
Calm 49.8%
Confused 49.5%

AWS Rekognition

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

AWS Rekognition

Age 26-43
Gender Female, 50.3%
Confused 49.6%
Happy 49.5%
Surprised 49.5%
Angry 49.6%
Disgusted 49.5%
Calm 49.7%
Sad 50.1%

AWS Rekognition

Age 29-45
Gender Female, 50.5%
Angry 49.5%
Calm 49.5%
Sad 50.3%
Surprised 49.5%
Disgusted 49.5%
Happy 49.5%
Confused 49.5%

AWS Rekognition

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

AWS Rekognition

Age 26-43
Gender Female, 50.5%
Angry 49.5%
Sad 49.8%
Happy 49.5%
Confused 49.7%
Surprised 49.5%
Calm 49.9%
Disgusted 49.5%

AWS Rekognition

Age 17-27
Gender Female, 50.5%
Angry 49.6%
Sad 50.2%
Surprised 49.5%
Happy 49.5%
Calm 49.6%
Disgusted 49.5%
Confused 49.6%

AWS Rekognition

Age 27-44
Gender Male, 50.1%
Sad 50.2%
Angry 49.6%
Happy 49.5%
Confused 49.5%
Calm 49.6%
Surprised 49.5%
Disgusted 49.5%

AWS Rekognition

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

AWS Rekognition

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

AWS Rekognition

Age 35-52
Gender Female, 50.5%
Calm 49.6%
Surprised 49.6%
Sad 49.6%
Confused 49.5%
Disgusted 49.7%
Happy 49.9%
Angry 49.6%

AWS Rekognition

Age 11-18
Gender Female, 50%
Confused 49.7%
Happy 49.5%
Surprised 49.6%
Angry 49.6%
Disgusted 49.5%
Calm 49.8%
Sad 49.8%

AWS Rekognition

Age 6-13
Gender Male, 50.2%
Disgusted 49.5%
Sad 50%
Happy 49.5%
Surprised 49.6%
Angry 49.5%
Calm 49.8%
Confused 49.6%

AWS Rekognition

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

AWS Rekognition

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

AWS Rekognition

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

AWS Rekognition

Age 26-43
Gender Female, 50.4%
Calm 50%
Surprised 49.6%
Sad 49.6%
Confused 49.6%
Disgusted 49.5%
Happy 49.6%
Angry 49.6%

AWS Rekognition

Age 20-38
Gender Male, 50.3%
Calm 49.7%
Disgusted 49.5%
Confused 49.6%
Surprised 49.5%
Happy 49.5%
Sad 50.1%
Angry 49.5%

AWS Rekognition

Age 26-43
Gender Female, 50.5%
Angry 49.6%
Disgusted 49.6%
Confused 49.6%
Calm 49.9%
Sad 49.6%
Surprised 49.6%
Happy 49.7%

AWS Rekognition

Age 20-38
Gender Female, 50.5%
Angry 49.6%
Calm 49.7%
Sad 49.8%
Surprised 49.5%
Disgusted 49.6%
Happy 49.6%
Confused 49.6%

AWS Rekognition

Age 26-43
Gender Female, 50.5%
Angry 49.6%
Sad 49.8%
Disgusted 49.6%
Surprised 49.6%
Happy 49.6%
Calm 49.9%
Confused 49.6%

AWS Rekognition

Age 20-38
Gender Female, 50.3%
Angry 49.6%
Sad 49.5%
Happy 49.6%
Calm 49.5%
Confused 49.5%
Disgusted 50.1%
Surprised 49.5%

AWS Rekognition

Age 26-43
Gender Female, 50.5%
Disgusted 49.5%
Happy 49.7%
Sad 49.5%
Calm 50.2%
Angry 49.5%
Surprised 49.5%
Confused 49.5%

AWS Rekognition

Age 11-18
Gender Female, 50.4%
Happy 49.6%
Confused 49.6%
Angry 49.7%
Disgusted 49.5%
Surprised 49.6%
Sad 49.8%
Calm 49.8%

AWS Rekognition

Age 20-38
Gender Female, 50.1%
Angry 49.6%
Calm 49.6%
Sad 50%
Surprised 49.7%
Disgusted 49.6%
Happy 49.5%
Confused 49.6%

AWS Rekognition

Age 35-52
Gender Female, 50.4%
Sad 49.7%
Happy 49.7%
Confused 49.6%
Angry 49.6%
Surprised 49.6%
Disgusted 49.6%
Calm 49.8%

AWS Rekognition

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

AWS Rekognition

Age 26-43
Gender Female, 50%
Sad 49.9%
Happy 49.6%
Confused 49.6%
Angry 49.5%
Surprised 49.6%
Disgusted 49.8%
Calm 49.6%

AWS Rekognition

Age 20-38
Gender Female, 50.1%
Confused 49.7%
Surprised 49.6%
Happy 49.5%
Calm 49.8%
Sad 49.7%
Disgusted 49.5%
Angry 49.6%

Feature analysis

Amazon

Person 64.2%

Categories

Imagga

interior objects 99.4%

Text analysis

Amazon

KRAMER
KRAMER EVANGELIST
EVANGELIST
NIGHTLY
MEETINGS NIGHTLY
MEETINGS
26
4-1/- 26 26
4-1/- 26
T6

Google

KRAMER EVANGEEST
KRAMER
EVANGEEST