Human Generated Data

Title

Religious Agencies, Salvation Army: Germany. Meissen. Salvation Army Crêche: Salvation Army: Germany: Work with children: Creche for youngest children of Meissen, Saxony.: Out of doors.

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, 3.2002.2563.2

Human Generated Data

Title

Religious Agencies, Salvation Army: Germany. Meissen. Salvation Army Crêche: Salvation Army: Germany: Work with children: Creche for youngest children of Meissen, Saxony.: Out of doors.

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, 3.2002.2563.2

Machine Generated Data

Tags

Amazon
created on 2019-06-04

Furniture 99.3
Chair 99.3
Person 97.4
Human 97.4
Person 97.3
Person 92.5
Person 92.1
Person 90.8
People 81.6
Person 80.9
Person 79.9
Art 73.5
Painting 73.5
Vehicle 73.3
Transportation 73.3
Bike 73.3
Bicycle 73.3
Person 69.8
Room 69.7
Indoors 69.7
Person 62.8
Person 61.8
Wheel 59.2
Machine 59.2
Clinic 58.4
Porch 55.3
Person 53.4

Clarifai
created on 2019-06-04

people 99.7
group together 96.3
group 96.1
adult 95.9
man 93.9
many 92.6
woman 89.9
child 85.8
winter 84.7
snow 84.6
wear 84.3
several 78.3
vehicle 73.3
veil 71.7
two 70.6
ceremony 69.5
military 69
administration 69
sit 65.6
home 63.7

Imagga
created on 2019-06-04

grunge 42.5
old 30.6
vintage 29.9
texture 28.5
antique 22.6
aged 22.6
wallpaper 22.2
stain 18.2
dirty 18.1
paper 17.9
art 17.7
material 17
textured 16.6
classroom 16.4
style 16.3
design 16.3
structure 16.2
retro 14.7
wall 14.7
graphic 14.6
decoration 14.4
life 14.1
silhouette 14.1
pattern 13.7
floral 13.6
grungy 13.3
flower 13.1
room 12.9
paint 12.7
frame 12.5
rusty 12.4
surface 12.3
ancient 12.1
grain 12
effect 11.9
decay 11.6
aging 11.5
man 11.4
artistic 11.3
people 11.1
rough 10.9
backdrop 10.7
backgrounds 10.5
canvas 10.4
black 10.2
grime 9.8
fracture 9.7
obsolete 9.6
person 9.6
weathered 9.5
season 9.3
space 9.3
travel 9.1
card 9
summer 9
smudged 8.9
distressed 8.8
brown 8.8
mottled 8.8
crack 8.7
holiday 8.6
textures 8.5
outdoor 8.4
artwork 8.2
border 8.1
detail 8
world 8
water 8
building 8
painterly 7.9
text 7.9
forest 7.8
leaf 7.8
messy 7.7
detailed 7.7
edge 7.7
damaged 7.6
map 7.6
splash 7.6
sign 7.5
color 7.2
male 7.1
creative 7.1
autumn 7
architecture 7
modern 7

Google
created on 2019-06-04

Photograph 95
Snapshot 82.5
Room 65.7
Family 60.9

Microsoft
created on 2019-06-04

person 96.9
clothing 96.7
smile 79.7
old 76.2
furniture 74.7
chair 58.3

Color Analysis

Face analysis

Amazon

Microsoft

Google

AWS Rekognition

Age 26-43
Gender Female, 53.1%
Confused 45.2%
Angry 45.3%
Calm 46.4%
Disgusted 45.2%
Sad 48.6%
Happy 49.2%
Surprised 45.1%

AWS Rekognition

Age 26-43
Gender Female, 54.4%
Happy 53.5%
Surprised 45%
Angry 45%
Sad 46.4%
Confused 45%
Calm 45%
Disgusted 45%

AWS Rekognition

Age 4-7
Gender Male, 50.7%
Disgusted 45.1%
Surprised 45.1%
Confused 45.1%
Sad 46.2%
Angry 45.3%
Calm 52.6%
Happy 45.5%

AWS Rekognition

Age 17-27
Gender Female, 53.4%
Confused 45.2%
Calm 45.2%
Happy 45.2%
Surprised 45.1%
Sad 46.1%
Angry 45.5%
Disgusted 52.7%

AWS Rekognition

Age 20-38
Gender Female, 53.7%
Calm 45.1%
Surprised 45.1%
Disgusted 45.1%
Confused 45.1%
Sad 49.7%
Happy 49.8%
Angry 45.2%

AWS Rekognition

Age 4-7
Gender Female, 54.8%
Disgusted 45.4%
Happy 45.2%
Confused 45.2%
Sad 48.1%
Angry 45.6%
Surprised 45.5%
Calm 50%

AWS Rekognition

Age 1-5
Gender Female, 53.3%
Angry 45.5%
Surprised 45.4%
Confused 45.2%
Sad 52.8%
Disgusted 45.2%
Happy 45.5%
Calm 45.5%

AWS Rekognition

Age 19-36
Gender Female, 53.5%
Happy 45.4%
Surprised 45.6%
Angry 46.1%
Sad 51.1%
Confused 45.4%
Disgusted 45.4%
Calm 46%

AWS Rekognition

Age 14-25
Gender Female, 50.4%
Angry 45.6%
Calm 45.5%
Sad 47.9%
Confused 45.6%
Disgusted 49.2%
Happy 46%
Surprised 45.3%

AWS Rekognition

Age 20-38
Gender Female, 54.3%
Disgusted 45.5%
Sad 52.6%
Calm 45.3%
Happy 45.3%
Confused 45.4%
Surprised 45.3%
Angry 45.5%

AWS Rekognition

Age 20-38
Gender Female, 50.9%
Confused 45.6%
Calm 46.2%
Disgusted 45.3%
Happy 45.6%
Angry 48%
Sad 48.8%
Surprised 45.5%

AWS Rekognition

Age 4-9
Gender Female, 53.2%
Calm 52.4%
Disgusted 45.2%
Angry 45.3%
Sad 46.1%
Happy 45.3%
Confused 45.5%
Surprised 45.2%

AWS Rekognition

Age 15-25
Gender Female, 51%
Sad 49.4%
Confused 45.6%
Calm 45.2%
Disgusted 45.9%
Happy 47.5%
Angry 45.7%
Surprised 45.7%

AWS Rekognition

Age 11-18
Gender Female, 53.8%
Sad 51.2%
Angry 45.5%
Calm 45.9%
Confused 45.5%
Happy 45.3%
Surprised 46.5%
Disgusted 45.1%

AWS Rekognition

Age 9-14
Gender Female, 54.1%
Sad 48.1%
Disgusted 45.3%
Surprised 45.4%
Angry 45.4%
Happy 46.5%
Calm 49.2%
Confused 45.1%

AWS Rekognition

Age 4-7
Gender Female, 52.4%
Sad 51.5%
Angry 45.9%
Calm 45.1%
Happy 45.3%
Disgusted 45.4%
Confused 45.4%
Surprised 46.4%

AWS Rekognition

Age 12-22
Gender Female, 54.4%
Confused 47.7%
Calm 47.4%
Angry 46.1%
Sad 46.5%
Happy 45.8%
Disgusted 45.3%
Surprised 46.2%

Microsoft Cognitive Services

Age 39
Gender Female

Google Vision

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

Google Vision

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

Feature analysis

Amazon

Person 97.4%
Painting 73.5%
Bicycle 73.3%
Wheel 59.2%

Categories

Text analysis

Google

A A
A