Human Generated Data

Title

Social Settlements: Great Britain, Scotland. Glasgow. "Queen Margaret College Settlement": Queen Margaret College Settlement, Anderston, Glawgow, Scotland.: Saving Bank Depositors at a Concert.
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, 3.2002.2719.2

Human Generated Data

Title

Social Settlements: Great Britain, Scotland. Glasgow. "Queen Margaret College Settlement": Queen Margaret College Settlement, Anderston, Glawgow, Scotland.: Saving Bank Depositors at a Concert.

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, 3.2002.2719.2

Machine Generated Data

Tags

Amazon
created on 2019-06-05

Person 98.8
Human 98.8
Person 96
Person 85.4
Crowd 72.7
People 69.6
Person 67.9
Outdoors 60.2

Clarifai
created on 2019-06-05

people 99.1
adult 98.3
wear 95.9
woman 92.4
man 90.1
group 89
one 88.6
desktop 87.4
interaction 86.1
vintage 85.2
portrait 83.3
two 82.1
texture 81.8
art 81.1
girl 80.2
child 79.9
old 75.5
facial expression 74.7
room 74.6
paper 73.9

Imagga
created on 2019-06-05

grunge 38.4
texture 38.2
vintage 34.8
wallpaper 33
old 32.8
container 31.2
tray 26.3
aged 26.3
blackboard 23.9
design 23.7
antique 23.5
frame 23.5
receptacle 21.3
glass 20.9
pattern 20.5
retro 20.5
paper 19.2
surface 18.5
border 18.1
graphic 17.5
backdrop 17.3
dirty 17.2
canvas 17.1
backgrounds 17.1
water 16.7
art 16.4
decay 16.4
color 16.1
liquid 16.1
structure 15.7
stain 15.4
material 15.2
aging 14.4
rusty 14.3
wall 13.7
decoration 13.3
grungy 13.3
flower 13.1
empty 12.9
envelope 12.8
floral 12.8
mottled 12.7
wet 12.5
element 12.4
rain 12.3
card 12.2
holiday 12.2
detail 12.1
grain 12
rough 11.9
paint 11.8
grime 11.7
fracture 11.7
crack 11.6
detailed 11.6
damaged 11.5
style 11.1
drop 10.9
obsolete 10.6
textures 10.4
drops 10.4
ornament 10.4
sheet 10.4
cold 10.3
close 10.3
year 10
clean 10
painterly 9.9
splash 9.8
shower curtain 9.8
album 9.7
textured 9.6
edge 9.6
text 9.6
weathered 9.5
bubble 9.4
winter 9.4
light 9.4
space 9.3
greeting 9.3
decorative 9.2
window 9.2
artwork 9.2
weather 9.2
ice 9.1
new 8.9
smudged 8.9
brown 8.8
droplets 8.8
celebration 8.8
snowflake 8.7
ancient 8.7
ocean 8.4
letter 8.3
snow 8.2
effect 8.2
closeup 8.1
transparent 8.1
cool 8
curtain 7.9
clear 7.9
raindrop 7.8
drawing 7.7
rust 7.7
stained 7.7
cardboard 7.7
parchment 7.7
spot 7.7
hard 7.6
drink 7.5
reflection 7.5
document 7.4
natural 7.4
template 7.3
fresh 7.2
day 7.1
season 7
leaf 7

Google
created on 2019-06-05

Photograph 95.6
Snapshot 82
Photography 62.4
Art 50.2

Microsoft
created on 2019-06-05

person 97
clothing 96.8
human face 90.9
woman 67.1
black 67
old 66.7
white 64.3
man 58.6

Color Analysis

Face analysis

Amazon

Microsoft

Google

AWS Rekognition

Age 20-38
Gender Female, 52.4%
Confused 3.2%
Angry 2.4%
Surprised 2.2%
Sad 19.7%
Disgusted 1.3%
Calm 69.4%
Happy 1.8%

AWS Rekognition

Age 4-7
Gender Male, 53.1%
Confused 45.9%
Sad 46.5%
Angry 46%
Disgusted 45.6%
Calm 48.9%
Surprised 46.7%
Happy 45.2%

AWS Rekognition

Age 30-47
Gender Female, 57.5%
Sad 39.5%
Happy 2.2%
Calm 12%
Surprised 29%
Angry 5.4%
Disgusted 2.8%
Confused 9.2%

AWS Rekognition

Age 45-63
Gender Female, 53.3%
Calm 46.3%
Surprised 45.4%
Disgusted 50.4%
Confused 45.2%
Happy 45.1%
Angry 46.2%
Sad 46.3%

AWS Rekognition

Age 38-59
Gender Female, 99.3%
Angry 3.3%
Surprised 3.9%
Disgusted 6%
Happy 17.2%
Calm 64.2%
Sad 2.3%
Confused 3%

AWS Rekognition

Age 26-43
Gender Female, 52.4%
Angry 45.2%
Calm 46.3%
Sad 52.4%
Disgusted 45.1%
Happy 45.3%
Confused 45.4%
Surprised 45.3%

AWS Rekognition

Age 30-47
Gender Female, 51.2%
Angry 45.4%
Happy 45.1%
Disgusted 45.1%
Sad 45.8%
Confused 45.7%
Calm 52.3%
Surprised 45.6%

AWS Rekognition

Age 26-43
Gender Male, 53.8%
Sad 49.3%
Surprised 45.4%
Calm 48.4%
Happy 45.4%
Disgusted 45.4%
Confused 45.7%
Angry 45.4%

AWS Rekognition

Age 35-53
Gender Male, 52.5%
Surprised 45.5%
Happy 45.7%
Confused 45.5%
Sad 47.9%
Calm 49.4%
Disgusted 45.5%
Angry 45.5%

AWS Rekognition

Age 26-43
Gender Female, 91.3%
Disgusted 3.4%
Surprised 2.2%
Confused 3.3%
Sad 64.9%
Angry 2.9%
Calm 20.8%
Happy 2.5%

AWS Rekognition

Age 27-44
Gender Female, 62.6%
Surprised 6.4%
Confused 35.2%
Sad 13.1%
Disgusted 20.1%
Calm 15.7%
Angry 3.8%
Happy 5.6%

Microsoft Cognitive Services

Age 32
Gender Female

Microsoft Cognitive Services

Age 48
Gender Female

Microsoft Cognitive Services

Age 25
Gender Female

Microsoft Cognitive Services

Age 38
Gender Female

Microsoft Cognitive Services

Age 4
Gender Female

Microsoft Cognitive Services

Age 28
Gender Female

Microsoft Cognitive Services

Age 33
Gender Female

Microsoft Cognitive Services

Age 38
Gender Male

Google Vision

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

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 Very unlikely
Headwear Very unlikely
Blurred Very unlikely

Feature analysis

Amazon

Person 98.8%

Categories

Imagga

interior objects 51.3%
paintings art 36.7%
macro flowers 5.6%
food drinks 3%
nature landscape 2.3%