Human Generated Data

Title

Religious Agencies, Salvation Army: Germany. Berlin. Salvation Army Christmas Dinner: Salvation Army: Germany: Christmas Dinner for 1000 men and women, Berlin, 1906.
Date

1906
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, 3.2002.2561.2

Human Generated Data

Title

Religious Agencies, Salvation Army: Germany. Berlin. Salvation Army Christmas Dinner: Salvation Army: Germany: Christmas Dinner for 1000 men and women, Berlin, 1906.

People

Artist: Unidentified Artist,

Date

1906

Classification

Photographs

Credit Line

Harvard Art Museums/Fogg Museum, Transfer from the Carpenter Center for the Visual Arts, Social Museum Collection, 3.2002.2561.2

Machine Generated Data

Tags

Amazon
created on 2019-06-04

Human 99.3
Crowd 98.8
Marching 91.4
Concert 78.8
Person 68.5
People 64.1
Parade 61.8
Audience 58.6
Person 52.3

Clarifai
created on 2019-06-04

snow 98.4
winter 98.2
abstract 94.7
no person 94.1
weather 92.4
Christmas 92
cold 91.8
desktop 91.7
light 91.7
water 91.6
people 91.4
landscape 91.3
frost 89.8
art 89.6
wet 89.2
rain 87.6
reflection 87.1
H2O 86.5
ice 86.3
outdoors 86.2

Imagga
created on 2019-06-04

texture 34.7
fountain 33.8
structure 33.7
wallpaper 32.2
vintage 25.8
grunge 25.5
old 23
design 21.4
pattern 20.5
frame 20
rough 18.2
aged 18.1
hall 17.5
wall 17.4
antique 17.3
backgrounds 17
paper 16.6
backdrop 16.5
dirty 16.3
water 16
retro 15.6
grungy 15.2
glass 15.1
graphic 14.6
space 14
surface 13.2
material 12.5
damaged 12.4
art 12.4
stucco 12.2
light 12
snow 11.9
card 11.9
wineglass 11.8
drop 11.8
border 11.8
decoration 11.6
stain 11.5
weathered 11.4
celebration 11.2
color 11.1
winter 11.1
snowflake 10.6
liquid 10.6
canvas 10.4
ancient 10.4
sheet 10.3
empty 10.3
brown 10.3
holiday 10
text 9.6
aging 9.6
orange 9.6
rusty 9.5
textures 9.5
ornament 9.5
document 9.3
yellow 9.3
paint 9.1
container 9
textured 8.8
messy 8.7
decay 8.7
drops 8.5
bubble 8.5
drink 8.3
letter 8.3
year 8.2
new 8.1
closeup 8.1
season 7.8
cold 7.7
detailed 7.7
cardboard 7.7
spot 7.7
crown 7.6
ice 7.6
decorative 7.5
shape 7.5
close 7.4
metallic 7.4
detail 7.2
bright 7.1
shiny 7.1
summer 7.1
chandelier 7

Google
created on 2019-06-04

Brown 85.6
Symmetry 62.1

Microsoft
created on 2019-06-04

outdoor 97.7
snow 91.9
person 56
image 48.4

Color Analysis

Face analysis

Amazon

Microsoft

AWS Rekognition

Age 26-43
Gender Male, 53.7%
Disgusted 45%
Happy 45%
Confused 45.3%
Sad 53.5%
Angry 45.1%
Surprised 45.1%
Calm 45.9%

AWS Rekognition

Age 26-43
Gender Female, 50.2%
Angry 45%
Calm 45%
Sad 54.9%
Disgusted 45%
Happy 45%
Confused 45%
Surprised 45%

AWS Rekognition

Age 26-44
Gender Female, 54.2%
Confused 45.5%
Angry 46.1%
Calm 47.2%
Disgusted 46.4%
Sad 46.8%
Happy 47.2%
Surprised 45.8%

AWS Rekognition

Age 26-43
Gender Male, 52.4%
Angry 45.7%
Disgusted 45.3%
Confused 45.5%
Calm 45.6%
Happy 45.3%
Surprised 45.5%
Sad 52.1%

AWS Rekognition

Age 20-38
Gender Female, 52.3%
Happy 45.2%
Surprised 45.2%
Calm 46.3%
Angry 45.6%
Confused 45.2%
Sad 52.1%
Disgusted 45.5%

AWS Rekognition

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

AWS Rekognition

Age 38-59
Gender Female, 50.3%
Disgusted 45.2%
Sad 50.8%
Surprised 45.2%
Calm 47.8%
Angry 45.4%
Happy 45.1%
Confused 45.3%

AWS Rekognition

Age 15-25
Gender Female, 50.5%
Sad 50.2%
Confused 49.5%
Angry 49.5%
Surprised 49.5%
Happy 49.7%
Calm 49.6%
Disgusted 49.5%

AWS Rekognition

Age 38-57
Gender Female, 53.6%
Happy 45.4%
Angry 45.2%
Disgusted 45.2%
Confused 45.1%
Sad 46.6%
Calm 52.1%
Surprised 45.4%

AWS Rekognition

Age 17-27
Gender Female, 51.3%
Calm 48.7%
Happy 45.2%
Angry 45.8%
Sad 47.5%
Surprised 45.8%
Confused 46.7%
Disgusted 45.2%

AWS Rekognition

Age 15-25
Gender Male, 51.7%
Disgusted 45.6%
Calm 50%
Surprised 45.4%
Angry 45.7%
Sad 46.4%
Confused 46.8%
Happy 45.1%

AWS Rekognition

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

AWS Rekognition

Age 20-38
Gender Male, 53.4%
Confused 45.2%
Angry 45.5%
Disgusted 45.3%
Surprised 45.1%
Sad 53.6%
Happy 45.1%
Calm 45.2%

AWS Rekognition

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

AWS Rekognition

Age 35-52
Gender Female, 50.2%
Disgusted 49.5%
Angry 49.5%
Sad 50.4%
Surprised 49.5%
Happy 49.5%
Calm 49.5%
Confused 49.5%

AWS Rekognition

Age 35-55
Gender Female, 50.1%
Disgusted 49.7%
Sad 49.7%
Surprised 49.6%
Calm 49.7%
Angry 49.6%
Happy 49.7%
Confused 49.6%

AWS Rekognition

Age 20-38
Gender Female, 50.5%
Sad 50%
Confused 49.6%
Angry 49.5%
Surprised 49.6%
Happy 49.6%
Calm 49.7%
Disgusted 49.5%

AWS Rekognition

Age 35-52
Gender Male, 50.5%
Angry 49.6%
Calm 49.6%
Disgusted 49.5%
Happy 49.5%
Surprised 49.5%
Sad 50.1%
Confused 49.6%

AWS Rekognition

Age 30-47
Gender Female, 50.4%
Confused 49.5%
Calm 49.7%
Disgusted 49.8%
Happy 49.6%
Angry 49.6%
Sad 49.6%
Surprised 49.6%

AWS Rekognition

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

AWS Rekognition

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

AWS Rekognition

Age 26-43
Gender Female, 51.4%
Confused 45.6%
Calm 48.8%
Angry 46.5%
Sad 46.9%
Happy 45.5%
Disgusted 46.1%
Surprised 45.6%

AWS Rekognition

Age 23-38
Gender Male, 50.4%
Sad 50.2%
Confused 49.5%
Angry 49.5%
Surprised 49.5%
Happy 49.5%
Calm 49.7%
Disgusted 49.5%

AWS Rekognition

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

AWS Rekognition

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

AWS Rekognition

Age 26-43
Gender Female, 50.5%
Disgusted 49.5%
Sad 50%
Calm 49.8%
Happy 49.5%
Confused 49.5%
Surprised 49.5%
Angry 49.6%

AWS Rekognition

Age 26-43
Gender Male, 50.3%
Disgusted 49.8%
Confused 49.6%
Angry 49.9%
Sad 49.6%
Surprised 49.5%
Happy 49.6%
Calm 49.5%

AWS Rekognition

Age 26-43
Gender Female, 50.5%
Confused 49.5%
Calm 50%
Angry 49.5%
Sad 49.6%
Happy 49.7%
Disgusted 49.5%
Surprised 49.6%

AWS Rekognition

Age 19-36
Gender Female, 50.2%
Surprised 49.5%
Confused 49.5%
Happy 49.5%
Angry 49.6%
Calm 49.9%
Sad 49.7%
Disgusted 49.6%

AWS Rekognition

Age 35-52
Gender Female, 50.4%
Disgusted 49.6%
Confused 49.5%
Angry 49.5%
Calm 49.6%
Surprised 49.5%
Happy 49.5%
Sad 50.3%

AWS Rekognition

Age 26-43
Gender Male, 51.9%
Disgusted 45.2%
Calm 45.5%
Angry 47.5%
Sad 49.9%
Happy 46.1%
Surprised 45.4%
Confused 45.5%

AWS Rekognition

Age 23-38
Gender Female, 50.5%
Sad 49.6%
Disgusted 49.6%
Angry 49.6%
Surprised 49.6%
Calm 49.9%
Confused 49.6%
Happy 49.7%

AWS Rekognition

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

AWS Rekognition

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

AWS Rekognition

Age 16-27
Gender Female, 50.2%
Confused 49.6%
Happy 49.5%
Angry 49.5%
Sad 50%
Calm 49.8%
Disgusted 49.5%
Surprised 49.5%

AWS Rekognition

Age 29-45
Gender Female, 50.1%
Disgusted 49.5%
Confused 49.5%
Angry 49.6%
Sad 50.2%
Surprised 49.5%
Happy 49.5%
Calm 49.6%

AWS Rekognition

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

AWS Rekognition

Age 16-27
Gender Female, 50.5%
Confused 49.6%
Calm 49.9%
Happy 49.5%
Surprised 49.6%
Sad 49.7%
Angry 49.6%
Disgusted 49.6%

AWS Rekognition

Age 11-18
Gender Female, 50.5%
Happy 49.6%
Surprised 49.6%
Angry 49.5%
Sad 50.1%
Confused 49.7%
Disgusted 49.5%
Calm 49.6%

AWS Rekognition

Age 6-13
Gender Female, 50.3%
Angry 49.5%
Happy 49.5%
Surprised 49.5%
Calm 49.5%
Confused 49.5%
Sad 50.4%
Disgusted 49.5%

AWS Rekognition

Age 26-43
Gender Female, 50.3%
Angry 49.6%
Calm 49.9%
Disgusted 49.5%
Happy 49.6%
Surprised 49.5%
Sad 49.8%
Confused 49.5%

AWS Rekognition

Age 23-38
Gender Female, 50.2%
Angry 49.7%
Surprised 49.6%
Disgusted 49.7%
Happy 49.6%
Calm 49.7%
Sad 49.8%
Confused 49.5%

AWS Rekognition

Age 23-38
Gender Male, 50.4%
Sad 49.6%
Disgusted 50%
Surprised 49.6%
Angry 49.5%
Happy 49.5%
Calm 49.6%
Confused 49.6%

AWS Rekognition

Age 15-25
Gender Female, 50.2%
Sad 49.8%
Angry 49.6%
Calm 49.6%
Happy 49.7%
Disgusted 49.6%
Confused 49.6%
Surprised 49.6%

AWS Rekognition

Age 30-47
Gender Female, 50.5%
Disgusted 49.5%
Angry 49.6%
Sad 50.1%
Surprised 49.6%
Happy 49.5%
Calm 49.7%
Confused 49.6%

Microsoft Cognitive Services

Age 23
Gender Female

Microsoft Cognitive Services

Age 28
Gender Male

Feature analysis

Amazon

Person
Person 68.5%
Person 52.3%

Categories

Imagga

paintings art 53.8%
food drinks 22.1%
interior objects 7.9%
nature landscape 6.4%
macro flowers 6%
text visuals 1.9%