Human Generated Data

Title

Untitled (group of people in front of a house)

Date

c. 1870-c. 1890

People

Artist: Unidentified Artist,

Classification

Photographs

Credit Line

Harvard Art Museums/Fogg Museum, Purchase through the generosity of Melvin R. Seiden, P1982.367.75

Human Generated Data

Title

Untitled (group of people in front of a house)

People

Artist: Unidentified Artist,

Date

c. 1870-c. 1890

Classification

Photographs

Credit Line

Harvard Art Museums/Fogg Museum, Purchase through the generosity of Melvin R. Seiden, P1982.367.75

Machine Generated Data

Tags

Amazon
created on 2019-04-07

Person 97.9
Human 97.9
Person 97.5
Person 96.3
Person 95.2
Person 95.1
Person 94.7
Person 93.4
Person 85.7
Person 81.1
Art 80.6
Painting 71.3
Outdoors 68.5
Person 67.8
Person 63
Person 61.7
Person 61.2
Person 61.1
Person 45.5

Clarifai
created on 2018-03-16

people 99.1
wear 96.1
adult 95.3
home 94.5
group 94.2
no person 93.6
man 93.4
art 92.9
print 92.6
empty 91.4
painting 89.9
two 89.1
winter 89
snow 88.7
vintage 88
one 86.5
room 85.3
paper 85
picture frame 80.2
old 79.1

Imagga
created on 2018-03-16

grunge 67.4
old 63.5
antique 60.7
vintage 60.5
stucco 58
aged 58
texture 51.5
ancient 51.1
damaged 49.7
wall 49.1
material 41.1
decay 40.6
empty 39.6
retro 39.4
frame 38.4
paper 36.9
parchment 36.5
dirty 36.2
crumpled 36
graffito 35.6
stains 34.1
rusty 32.4
grime 32.3
structure 32.1
border 30.8
grain 30.5
historic 30.3
fracture 30.2
wallpaper 29.9
grungy 29.4
ragged 29.3
space 27.2
old fashioned 26.7
textures 26.6
design 25.9
decoration 25.9
pattern 24.7
textured 24.6
spot 24
rough 23.7
mottled 23.4
your 23.2
art 22.8
faded 22.4
tracery 22.2
crack 21.3
worn 21
graphic 20.5
page 20.4
weathered 20
blank 19.7
broad 19.7
crease 19.6
envelope 19.5
succulent 19.5
stain 19.2
aging 19.2
obsolete 19.2
document 18.6
text 18.4
architecture 18
brown 17.7
scratched 17.6
messy 17.4
concrete 17.3
manuscript 16.7
backdrop 16.5
book 16.1
highly 15.8
detailed 15.4
cardboard 15.4
canvas 15.2
container 15.1
surface 15
backgrounds 14.6
dirt 14.3
shabby 13.7
burnt 13.6
building 13.6
torn 13.6
decorative 13.4
paint 11.8
cement 11.6
rust 11.6
color 11.1
construction 11.1
dark 10.9
tattered 10.9
distressed 10.8
stained 10.6
stone 10.6
great 10.5
detail 10.5
artistic 10.4
gray 9.9
history 9.9
uneven 9.8
sepia 9.7
edge 9.6
ornament 9.5
nobody 9.3
brass 9.3
memorial 9.1
abrasion 8.9
pasteboard 8.9
painterly 8.9
urban 8.8
fiber 8.7
house 8.4
board 8.2
yellow 8
doormat 7.9
ages 7.9
photographic 7.9
frames 7.8
materials 7.8
abandoned 7.8
facade 7.6
cover 7.4

Google
created on 2018-03-16

Microsoft
created on 2018-03-16

Color Analysis

Face analysis

Amazon

AWS Rekognition

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

AWS Rekognition

Age 17-27
Gender Female, 50%
Confused 49.5%
Calm 49.5%
Angry 49.5%
Sad 50.3%
Surprised 49.5%
Disgusted 49.6%
Happy 49.5%

AWS Rekognition

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

AWS Rekognition

Age 26-43
Gender Female, 50.4%
Angry 49.6%
Disgusted 49.6%
Calm 49.8%
Happy 49.5%
Sad 49.8%
Surprised 49.6%
Confused 49.5%

AWS Rekognition

Age 12-22
Gender Female, 50%
Sad 49.8%
Disgusted 49.7%
Confused 49.6%
Surprised 49.6%
Calm 49.6%
Angry 49.6%
Happy 49.6%

AWS Rekognition

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

AWS Rekognition

Age 35-53
Gender Female, 50%
Happy 49.5%
Confused 49.5%
Angry 49.6%
Disgusted 49.5%
Sad 50.3%
Calm 49.5%
Surprised 49.5%

AWS Rekognition

Age 23-38
Gender Female, 50.4%
Angry 49.6%
Surprised 49.6%
Happy 49.6%
Sad 49.7%
Calm 49.9%
Disgusted 49.6%
Confused 49.5%

AWS Rekognition

Age 23-38
Gender Male, 50.2%
Calm 49.7%
Confused 49.6%
Surprised 49.6%
Disgusted 49.6%
Happy 49.6%
Angry 49.6%
Sad 49.9%

AWS Rekognition

Age 26-43
Gender Female, 50.4%
Sad 49.8%
Confused 49.6%
Happy 49.6%
Disgusted 49.8%
Angry 49.6%
Surprised 49.5%
Calm 49.6%

AWS Rekognition

Age 26-43
Gender Male, 50.4%
Confused 49.5%
Sad 50.3%
Surprised 49.5%
Calm 49.5%
Happy 49.5%
Disgusted 49.6%
Angry 49.5%

AWS Rekognition

Age 20-38
Gender Female, 50.4%
Confused 49.6%
Sad 49.6%
Angry 49.6%
Calm 50%
Happy 49.6%
Surprised 49.6%
Disgusted 49.6%

AWS Rekognition

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

AWS Rekognition

Age 29-45
Gender Female, 50.4%
Happy 49.7%
Surprised 49.6%
Disgusted 49.5%
Confused 49.6%
Angry 49.6%
Calm 49.6%
Sad 49.9%

AWS Rekognition

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

Feature analysis

Amazon

Person 97.9%
Painting 71.3%