Human Generated Data

Title

Untitled (group portrait of young nurses posing outside large brick building)
Date

c. 1920-1940, printed later
People

Artist: O. B. Porter Studio, American active 1930s-1940s
Classification

Photographs
Credit Line

Harvard Art Museums/Fogg Museum, Transfer from the Carpenter Center for the Visual Arts, American Professional Photographers Collection, 4.2002.12332

Human Generated Data

Title

Untitled (group portrait of young nurses posing outside large brick building)

People

Artist: O. B. Porter Studio, American active 1930s-1940s

Date

c. 1920-1940, printed later

Classification

Photographs

Credit Line

Harvard Art Museums/Fogg Museum, Transfer from the Carpenter Center for the Visual Arts, American Professional Photographers Collection, 4.2002.12332

Machine Generated Data

Tags

Amazon
created on 2019-11-16

Indoors 100
Interior Design 100
Human 98.7
Person 98.7
Person 96
Person 81.8
Fence 80.7
Theater 80
Room 80
Person 70.7
Person 69.7
Person 68.2
Cinema 59.8
Electronics 59.2
Screen 59.2
Person 45.7

Clarifai
created on 2019-11-16

no person 99.1
architecture 97.7
building 96.1
people 95.7
light 93.9
monochrome 91.6
room 91
city 90.6
street 90.6
winter 89.6
home 89.4
group 88.8
snow 88.4
outdoors 87.7
house 87.1
urban 87
family 85.7
reflection 85.5
indoors 85.4
dark 84.8

Imagga
created on 2019-11-16

negative 63.5
film 59.2
grunge 42.6
old 39.7
vintage 38
texture 34.7
photographic paper 32.4
antique 30.3
retro 29.5
structure 28.8
damaged 26.7
frame 26.6
dirty 26.2
aged 25.3
art 24.2
black 24
border 23.5
grungy 22.8
photographic equipment 22.5
material 22.3
ancient 20.7
space 20.2
text 19.2
graphic 18.2
rough 18.2
building 17.9
pattern 17.8
paint 17.2
movie 16.5
design 15.8
photographic 15.7
noise 14.7
slide 14.6
stains 14.6
rust 14.4
edge 14.4
weathered 14.2
architecture 14.2
scratches 13.8
historic 13.7
frames 13.7
screen 13.7
strip 13.6
fence 13.3
wall 13.1
picket fence 12.9
empty 12.9
grime 12.7
scratch 12.7
crumpled 12.6
your 12.6
decay 12.5
collage 12.5
spot 12.5
grain 12
noisy 11.8
paper 11.8
fracture 11.7
messy 11.6
dirt 11.5
rusty 11.4
digital 11.3
designed 10.8
television 10.8
mottled 10.7
layer 10.6
backgrounds 10.5
camera 10.3
decoration 10.1
color 10
city 10
element 9.9
highly 9.8
layered 9.8
mess 9.8
detailed 9.6
mask 9.6
parchment 9.6
sky 9.6
old fashioned 9.5
roll 9.5
broad 8.8
computer 8.8
tracery 8.8
textured 8.8
succulent 8.7
sepia 8.7
great 8.6
barrier 8.5
sheet 8.5
wallpaper 8.4
entertainment 8.3
style 8.2
overlay 7.9
burst 7.8
worn 7.6
canvas 7.6
textures 7.6
house 7.5
landscape 7.4
backdrop 7.4
stone 7.3
history 7.2

Google
created on 2019-11-16

Photograph 97
White 95.5
Photographic paper 88.1
Snapshot 85.5
Black-and-white 80.7
Photography 77
Room 76.5
Picture frame 71.9
Rectangle 67.5
Monochrome 60.1
Stock photography 59.4

Microsoft
created on 2019-11-16

text 99.6
indoor 90.6
window 89.8
house 70.5
black and white 70
white 65.3
old 48.4
display 30.9
picture frame 21.8

Color Analysis

Face analysis

Amazon

AWS Rekognition

Age 22-34
Gender Female, 50.5%
Fear 49.5%
Sad 49.5%
Happy 50.2%
Calm 49.7%
Angry 49.5%
Surprised 49.5%
Disgusted 49.5%
Confused 49.5%

AWS Rekognition

Age 42-60
Gender Female, 50%
Fear 49.6%
Angry 49.5%
Sad 49.6%
Happy 49.6%
Calm 49.5%
Confused 50.1%
Surprised 49.6%
Disgusted 49.6%

AWS Rekognition

Age 13-25
Gender Female, 50.1%
Fear 49.5%
Surprised 49.5%
Angry 49.5%
Happy 49.5%
Disgusted 49.6%
Confused 49.6%
Sad 50.2%
Calm 49.6%

AWS Rekognition

Age 11-21
Gender Female, 50.5%
Happy 49.6%
Disgusted 49.7%
Fear 49.5%
Calm 49.5%
Angry 50.1%
Confused 49.5%
Sad 49.5%
Surprised 49.5%

AWS Rekognition

Age 16-28
Gender Male, 50.3%
Fear 49.5%
Disgusted 49.5%
Calm 49.5%
Happy 49.5%
Surprised 49.5%
Angry 49.6%
Sad 50.3%
Confused 49.5%

AWS Rekognition

Age 21-33
Gender Female, 50.1%
Sad 49.5%
Confused 49.5%
Fear 49.5%
Happy 49.5%
Surprised 49.6%
Angry 49.5%
Calm 50.3%
Disgusted 49.5%

AWS Rekognition

Age 36-54
Gender Female, 50.2%
Angry 49.7%
Happy 49.6%
Disgusted 49.8%
Calm 49.9%
Fear 49.5%
Surprised 49.5%
Sad 49.5%
Confused 49.5%

AWS Rekognition

Age 12-22
Gender Male, 50.5%
Calm 49.6%
Disgusted 49.5%
Happy 49.5%
Fear 49.5%
Surprised 49.5%
Sad 49.5%
Confused 50.1%
Angry 49.8%

AWS Rekognition

Age 23-37
Gender Male, 50.2%
Confused 49.5%
Calm 49.5%
Surprised 49.5%
Fear 50.3%
Happy 49.5%
Angry 49.6%
Sad 49.5%
Disgusted 49.5%

AWS Rekognition

Age 4-12
Gender Male, 50.3%
Calm 49.6%
Happy 49.5%
Disgusted 49.5%
Surprised 49.5%
Angry 49.5%
Sad 50.4%
Fear 49.5%
Confused 49.5%

AWS Rekognition

Age 11-21
Gender Female, 50.3%
Calm 49.6%
Sad 49.7%
Confused 49.6%
Happy 49.6%
Angry 49.7%
Disgusted 49.8%
Fear 49.6%
Surprised 49.5%

Feature analysis

Amazon

Person 98.7%

Categories

Imagga

paintings art 70.2%
interior objects 25.4%
text visuals 3.6%