Human Generated Data

Title

Untitled (four photographs: beauty pageant; adults looking over kids in large pool)

Date

c. 1940, printed later

People

Artist: Harry Annas, American 1897 - 1980

Classification

Photographs

Credit Line

Harvard Art Museums/Fogg Museum, Transfer from the Carpenter Center for the Visual Arts, American Professional Photographers Collection, 4.2002.6806

Human Generated Data

Title

Untitled (four photographs: beauty pageant; adults looking over kids in large pool)

People

Artist: Harry Annas, American 1897 - 1980

Date

c. 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, 4.2002.6806

Machine Generated Data

Tags

Amazon
created on 2019-11-16

Advertisement 100
Collage 100
Human 99.6
Person 99.6
Person 99.5
Person 99.1
Person 98.8
Person 98.1
Person 97.8
Outdoors 93.5
Nature 93.3
Person 87
Person 86.8
Person 85
Ice 79.5
Snow 78.1
Person 73.5
Person 67.6
Person 64.7
Electronics 59.2
Monitor 59.2
Display 59.2
Screen 59.2
Brick 58.9
Poster 54.6
Person 48.8
Person 47.1

Clarifai
created on 2019-11-16

television 99.2
no person 98.5
blank 97.2
outdoors 97
people 96.5
picture frame 96.4
sky 95.2
nature 95.1
bill 95
display 94.8
water 94.4
screen 94.2
city 94
billboard 93
empty 92.6
architecture 92.5
broad 91.6
travel 91.6
promo 91.1
winter 91.1

Imagga
created on 2019-11-16

billboard 100
signboard 100
structure 87.3
grunge 27.3
frame 22.5
old 21.6
winter 20.4
vintage 19.9
backboard 18.8
tree 18.5
texture 17.4
border 17.2
landscape 17.1
pattern 17.1
snow 17.1
grungy 17.1
design 16.9
text 16.6
antique 16.5
rough 16.4
paint 16.3
space 16.3
art 15.6
trees 15.1
equipment 14.9
film 14.8
retro 14.8
dirty 14.5
black 14.4
frames 13.7
edge 13.5
dirt 13.4
damaged 13.4
negative 13.2
sky 12.8
noise 12.7
paper 12.5
rust 12.5
graphic 12.4
forest 12.2
digital 12.2
empty 12
blank 12
decoration 11.7
material 11.6
messy 11.6
collage 11.6
weathered 11.4
cold 11.2
aged 10.9
noisy 10.9
designed 10.8
layered 10.8
mess 10.8
your 10.6
layer 10.6
mask 10.6
lake 10.1
outdoor 9.9
scratches 9.9
photographic 9.8
scratch 9.8
strip 9.7
scene 9.5
poster 9.4
branch 9.1
computer 8.9
highly 8.9
slide 8.8
movie 8.7
detailed 8.7
ancient 8.6
season 8.6
wood 8.3
silhouette 8.3
scenery 8.1
screen 8
overlay 7.9
scenic 7.9
fog 7.7
wall 7.7
dark 7.5
city 7.5
outdoors 7.5
park 7.4
banner 7.4
color 7.2

Google
created on 2019-11-16

Microsoft
created on 2019-11-16

window 93.6
tree 92.7
snow 91.5
text 83.8
black and white 83
picture frame 9.3

Color Analysis

Face analysis

Amazon

AWS Rekognition

Age 18-30
Gender Female, 52.6%
Happy 54.6%
Surprised 45%
Angry 45.1%
Fear 45%
Sad 45%
Confused 45%
Calm 45.2%
Disgusted 45.1%

AWS Rekognition

Age 7-17
Gender Female, 54.2%
Surprised 45%
Happy 54.8%
Confused 45%
Sad 45.1%
Angry 45%
Fear 45%
Disgusted 45%
Calm 45%

AWS Rekognition

Age 25-39
Gender Female, 50.3%
Sad 50.1%
Angry 49.5%
Happy 49.5%
Calm 49.5%
Fear 49.9%
Disgusted 49.5%
Confused 49.5%
Surprised 49.5%

AWS Rekognition

Age 6-16
Gender Female, 50.1%
Fear 49.5%
Disgusted 49.5%
Calm 50.3%
Happy 49.5%
Surprised 49.5%
Angry 49.5%
Sad 49.6%
Confused 49.6%

AWS Rekognition

Age 4-12
Gender Male, 50.3%
Sad 50.2%
Disgusted 49.5%
Surprised 49.5%
Happy 49.5%
Angry 49.5%
Fear 49.5%
Confused 49.6%
Calm 49.6%

AWS Rekognition

Age 13-25
Gender Female, 50.3%
Happy 49.6%
Calm 50.4%
Fear 49.5%
Confused 49.5%
Angry 49.5%
Surprised 49.5%
Disgusted 49.5%
Sad 49.5%

AWS Rekognition

Age 5-15
Gender Female, 50.5%
Confused 49.5%
Surprised 49.5%
Fear 49.5%
Happy 50.5%
Disgusted 49.5%
Angry 49.5%
Sad 49.5%
Calm 49.5%

AWS Rekognition

Age 22-34
Gender Female, 54.5%
Surprised 45%
Confused 45%
Calm 45%
Happy 54.8%
Sad 45.1%
Angry 45%
Disgusted 45%
Fear 45%

AWS Rekognition

Age 28-44
Gender Female, 50.4%
Angry 49.6%
Fear 49.6%
Disgusted 49.5%
Sad 49.7%
Confused 49.5%
Calm 50.1%
Happy 49.5%
Surprised 49.5%

AWS Rekognition

Age 5-15
Gender Male, 50.5%
Happy 49.5%
Surprised 49.5%
Angry 49.9%
Fear 49.5%
Sad 49.8%
Confused 49.5%
Calm 49.5%
Disgusted 49.7%

AWS Rekognition

Age 26-40
Gender Female, 50.2%
Calm 49.6%
Happy 49.5%
Angry 49.6%
Disgusted 49.6%
Surprised 49.5%
Fear 49.5%
Sad 49.7%
Confused 50%

AWS Rekognition

Age 20-32
Gender Female, 50.5%
Sad 49.6%
Disgusted 49.6%
Confused 49.6%
Surprised 49.6%
Angry 49.5%
Calm 49.8%
Happy 49.7%
Fear 49.6%

AWS Rekognition

Age 22-34
Gender Female, 50.1%
Angry 49.5%
Fear 49.5%
Calm 49.8%
Sad 49.6%
Disgusted 49.5%
Happy 50.1%
Confused 49.5%
Surprised 49.5%

AWS Rekognition

Age 23-37
Gender Male, 50.2%
Disgusted 49.5%
Confused 49.5%
Sad 49.9%
Calm 49.8%
Angry 49.6%
Fear 49.5%
Surprised 49.5%
Happy 49.5%

AWS Rekognition

Age 37-55
Gender Male, 50.5%
Fear 49.5%
Happy 49.5%
Angry 49.5%
Disgusted 49.5%
Sad 50.3%
Surprised 49.5%
Calm 49.6%
Confused 49.5%

AWS Rekognition

Age 24-38
Gender Female, 50.4%
Angry 49.6%
Sad 49.6%
Calm 49.7%
Disgusted 49.5%
Confused 49.6%
Surprised 49.8%
Fear 49.8%
Happy 49.5%

AWS Rekognition

Age 25-39
Gender Male, 50.4%
Calm 49.5%
Angry 49.7%
Surprised 49.5%
Disgusted 49.7%
Happy 49.5%
Sad 49.5%
Fear 49.9%
Confused 49.6%

AWS Rekognition

Age 24-38
Gender Female, 50.2%
Confused 49.5%
Surprised 49.5%
Calm 50.4%
Fear 49.5%
Disgusted 49.5%
Happy 49.5%
Sad 49.5%
Angry 49.5%

AWS Rekognition

Age 31-47
Gender Male, 50.3%
Disgusted 49.5%
Happy 49.5%
Angry 49.5%
Confused 49.5%
Calm 50.2%
Fear 49.6%
Sad 49.6%
Surprised 49.5%

AWS Rekognition

Age 53-71
Gender Female, 50.4%
Fear 49.5%
Surprised 49.6%
Angry 49.5%
Calm 49.5%
Sad 49.5%
Happy 50.3%
Disgusted 49.5%
Confused 49.5%

AWS Rekognition

Age 33-49
Gender Male, 50.5%
Fear 49.5%
Disgusted 49.5%
Calm 49.6%
Happy 49.5%
Surprised 49.5%
Angry 50%
Sad 49.9%
Confused 49.5%

AWS Rekognition

Age 34-50
Gender Female, 50.5%
Calm 49.8%
Surprised 49.5%
Happy 49.7%
Sad 49.5%
Confused 49.6%
Angry 49.6%
Fear 49.6%
Disgusted 49.7%

AWS Rekognition

Age 44-62
Gender Male, 50.4%
Disgusted 49.5%
Happy 49.5%
Confused 49.5%
Angry 49.5%
Fear 49.5%
Sad 50.2%
Calm 49.8%
Surprised 49.5%

Feature analysis

Amazon

Person 99.6%
Monitor 59.2%
Poster 54.6%

Categories

Text analysis

Amazon

LULING

Google

ONG ss LULING
ONG
ss
LULING